JP2017060710A - Biological information monitoring system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a biological information monitoring system that weights important events of death, spasm, and bed-leaving in order to more accurately obtain biological information such as a respiration frequency, a heart rate/pulse rate, and waveforms thereof on the basis of signals from a bed-leaving sensor and a biological information collection sheet, and makes it possible to determine the important events quickly and with little erroneous determination before warning.SOLUTION: A biological information monitoring system includes: a bed-leaving sensor installed under a mattress; a biological information collection sheet installed under the mattress; and a monitoring device that, on the basis of a signal from the bed-leaving sensor and a signal from the biological information collection sheet, monitors a user's bed-leaving/on-bed state and biological information. The monitoring device determines the user's bed-leaving/on-bed state on the basis of the signal from the bed-leaving sensor; determines the existence of an important event on the basis of a mixed signal from the biological information collection sheet; and, when it is determined that the user is in an on-bed state and no important event exists, reports various types of biological information obtained by performing calculation processing on the mixed signal from the biological information collection sheet.SELECTED DRAWING: Figure 1

Description

  The present invention detects, for example, a user (caregiver) who is lying on a mattress such as a nursing bed and collects biological information such as breathing, heartbeat, and pulse to discriminate abnormal events. In particular, the present invention relates to a biological information monitoring system that notifies the user of such a situation, and in particular, to a device that is devised so that an important event such as death or seizure can be alerted quickly and with few erroneous determinations.

For example, a patent discloses a configuration of a biological information monitoring system that detects a user's bed / bed presence on a care bed and collects biological information such as breathing, heartbeat, and pulse, and detects and notifies abnormality There are a “sleeping state monitoring device” described in Document 1 and a “device for collecting and transmitting biological information” described in Patent Document 2.
In the “sleeping state monitoring device” described in Patent Document 1, a hard sheet is first installed on a bed, and an elastic cushion sheet is installed on the hard sheet. A pressure detection tube and a bed leaving sensor are installed between the hard sheet and the cushion sheet. A subject lies on the cushion sheet.

  Air is sealed in the pressure detection tube, and a fine differential pressure sensor composed of a condenser microphone is installed. This fine differential pressure sensor detects a pressure change in the pressure detection tube by the subject.

A signal shaping unit is connected to the fine differential pressure sensor, and after the signal output from the fine differential pressure sensor is amplified by the signal shaping unit, a frequency component in a range necessary for measuring the strength of the biological signal. Is taken out.
An automatic gain control unit is connected to the signal shaping unit. The automatic gain control unit performs gain control for adjusting the signal output from the signal shaping unit so as to fall within a predetermined signal level range.

  A body motion detection calculation unit is connected to the automatic gain control unit, and the body motion detection calculation unit monitors the time when the signal output from the automatic gain control unit exceeds a predetermined upper limit value. Is detected.

  A signal strength calculation unit is connected to the automatic gain control unit to calculate a signal strength not based on the gain control.

A sleeping state determination control unit is connected to the bed sensor, the automatic gain control unit, the body motion detection calculation unit, and the signal intensity calculation unit. Based on signals from the bed sensor, the automatic gain control unit, the body motion detection calculation unit, and the signal intensity calculation unit, the sleeping state determination control unit determines whether the subject has a biological signal and whether the subject is in bed / out of bed. A determination is made.
Further, the presence / absence of an important event such as the death or seizure of the subject is determined based on a calculation processing signal obtained by calculating the biological signal.

  Next, the “apparatus for collecting and transmitting biological information” described in Patent Document 2 has a bed on which a mattress is laid, and a subject lies on the mattress. A mat provided with a pressure sensor is installed between the mattress and the bed. The mats are installed on the subject's head, chest, and waist, respectively.

  The pressure sensor installed on the mattress is composed of a piezoelectric element, converts the movement of the subject into a voltage, and outputs a biological information signal. This biological information signal is amplified by an amplifier and then processed by a first BPF (band pass filter) circuit. Thereby, a body motion signal is extracted from the biological information signal.

The first BPF (band pass filter) circuit is connected to a respiration rate arithmetic circuit via a second BPF (band pass filter) circuit, and via a third BPF (band pass filter) circuit. The heart rate calculation circuit is connected. By processing the body motion signal with the respiration rate calculation circuit, the respiration rate of the subject can be obtained. Further, the heart rate of the subject can be obtained by processing the body motion signal with the heart rate calculation circuit.
The first BPF (band pass filter) circuit is connected to a determination circuit such as getting out of the bed, thereby determining whether the subject is moving or getting out of bed.

An alarm circuit is connected to the respiration rate calculation circuit, the heart rate calculation circuit, and the determination circuit for getting out of bed. This alarm circuit issues an alarm based on the respiratory rate, heart rate, bed / bed state, and the like.
In the case of the invention described in Patent Document 2, the presence / absence of an important event such as death or seizure of a subject is determined based on an arithmetic processing signal obtained by arithmetic processing of the biological signal.

Japanese Patent No. 4013195 Japanese Patent No. 5210264

However, the conventional configuration has the following problems.
First, in the “sleeping state monitoring device” described in Patent Document 1, important events such as death and seizure are determined after processing a signal output from the differential pressure sensor with a signal shaping unit or the like. There was a problem that discovery of important events such as death, seizure, etc. was delayed.
The same applies to the “device for collecting and transmitting biological information” described in Patent Document 2.
It is obvious to everyone that death and seizure are important events, but detection of getting out of bed / bed is also as important as that depending on the condition of the user. For example, if a user with weak legs tries to leave the bed, a caregiver needs to rush immediately because there is a fear of a fracture due to a fall accident, but on the other hand, sweet notification on the safety side If it seems to be able to do this, false alarms will increase and the burden on the caregiver will be great. On the other hand, the respiratory rate and pulse rate are only accurate for better understanding of the current state, but if they are within normal values, in fact, some errors and fluctuations in those values are There are fewer problems than significant events.

  The present invention has been made on the basis of such points, and the object of the present invention is to determine the respiration rate, heart rate / pulse rate, and biological waveforms such as waveforms based on signals from the bed sensor and the biological information collection sheet. Providing a vital information monitoring system that weights important events such as death, seizures, and getting out of bed while trying to obtain information more accurately, and distinguishes these important events quickly and with few misjudgments. There is.

In order to solve the above problem, the biological information monitoring system according to claim 1 includes a bed sensor installed under a mattress on which a user lies, a biological information collection sheet installed under the mattress, and the bed. A monitoring device that monitors the user's bed / bed and biological information based on a signal from the sensor and a signal from the biological information collection sheet, and the monitoring device includes the bed sensor When determining whether the user is out of bed / being present based on the signal from the user, and determining whether there is an important event based on the mixed signal from the biological information collection sheet, It is characterized by notifying various types of biological information obtained by calculating the mixed signal from the biological information collection sheet.
Further, the biological information monitoring system according to claim 2 is the biological information monitoring system according to claim 1, wherein the determination of bed leaving / bed presence detects an off signal among the on / off signals of the bed leaving sensor. The bed leaving determination is performed when the bed leaving detection time exceeds a predetermined erroneous detection prevention time.
The biological information monitoring system according to claim 3 is the biological information monitoring system according to claim 1 or 2, wherein the determination of the presence or absence of the important event is a cardiopulmonary stop determination and a body movement determination. The stop determination is performed by detecting that a state in which the threshold value set in the mixed signal is not more than a predetermined number of times within a predetermined time continues for a predetermined time, and the body movement determination is set in the mixed signal. It is characterized in that it is determined by detecting that a state in which a threshold value or more is counted a predetermined number of times or more in a predetermined time continues for a predetermined time.
Further, the biological information monitoring system according to claim 4 is the biological information monitoring system according to any one of claims 1 to 3, wherein the monitoring device is determined to be in bed and no significant event. In addition, a mixed signal from the biological information collection sheet is filtered to obtain a respiratory waveform, and a respiratory rate is calculated from the respiratory waveform. If the respiratory rate is within a predetermined normal respiratory range, the respiratory rate is calculated. Notifying that if it is outside the normal respiratory rate range, it is determined that there is a respiratory abnormality, filtering the mixed signal from the biological information sheet to obtain a pulse waveform, calculating and calculating the pulse rate from the pulse waveform, If the pulse rate is within a predetermined normal pulse rate range, the pulse rate is reported, and if the pulse rate is outside the normal pulse rate range, it is determined that the pulse is abnormal.
The biological information monitoring system according to claim 5 is the biological information monitoring system according to any one of claims 1 to 4, wherein the monitoring device includes getting out of bed / being in bed, cardiopulmonary arrest, body movement, Based on each determination of breathing and pulse, alarms of abnormalities are output in the order of getting out of bed / bed, cardiopulmonary arrest, body movement, breathing, and pulse. It is what.
According to a sixth aspect of the present invention, the biological information monitoring system according to the fifth aspect is the biological monitoring system according to the fifth aspect, wherein a process of suppressing a lower alarm is performed by performing a process of suppressing a lower alarm when the bed / bed bed alarm is issued. When the alarm is output, the lower alarm is not output.
The biological information monitoring system according to claim 7 is the biological information monitoring system according to claim 6, wherein the processing time is set to a predetermined value for each of the alarms for cardiopulmonary arrest, body movement, respiration, and pulse. Thus, when a higher level alarm is output, a lower level alarm is not output.
The biological information monitoring system according to claim 8 is the biological information monitoring system according to any one of claims 1 to 7, wherein the monitoring device further performs an apnea discrimination. It is a feature.
The biological information monitoring system according to claim 9 is the biological information monitoring system according to claim 8, wherein the apnea determination is performed when a signal having an amplitude equal to or larger than a predetermined threshold is included in the mixed signal within a predetermined time. It is performed based on the frequency of appearance.
Further, the biological information monitoring system according to claim 10 is the biological information monitoring system according to any one of claims 1 to 9, wherein the determination of the bed leaving / floating is made on / off of the bed leaving sensor. Of the signals, even when the bed detection time during which the off signal is detected exceeds the specified false detection prevention time, the bed detection time during which the off signal is detected without exceeding the floor detection time exceeds the predetermined continuous bed time. In this case, it is determined that the abnormal bed leaving is abnormal.
Further, the biological information monitoring system according to claim 11 is the biological information monitoring system according to any one of claims 1 to 9, wherein the determination of bed leaving / floating is performed by turning on / off the bed sensor. Of the signals, when the bed leaving detection time during which the off signal is detected exceeds a predetermined false detection prevention time, the bed leaving judgment is made, and the on signal of the on / off signal of the bed sensor is detected. When the presence detection time exceeds a predetermined continuous bed time, it is determined that a continuous bed abnormality is present.
A biological information monitoring system according to a twelfth aspect of the present invention is the biological information monitoring system according to any one of the first to ninth aspects, in which the determination of bed leaving / floating is performed by turning on / off the bed sensor. Of the signals, even when the bed detection time during which the off signal is detected exceeds the specified false detection prevention time, the bed detection time during which the off signal is detected without exceeding the floor detection time exceeds the predetermined continuous bed time. If the detected bed detection time for detecting the ON signal of the above-mentioned bed sensor exceeds the predetermined continuous bed time, the continuous bed abnormality is determined. It is characterized by being judged.
A biological information monitoring system according to a thirteenth aspect is characterized in that, in the biological information monitoring system according to the eleventh aspect, presence / absence of notification regarding the bed leaving determination can be selected.
The biological information monitoring system according to claim 14 is the biological information monitoring system according to any one of claims 1 to 13, wherein the monitoring device is a control device installed in the vicinity of the mattress and / or The host computer is remotely located.
Further, the biological information monitoring system according to claim 15 is the biological information monitoring system according to claim 14, wherein there are a plurality of the mattresses, and the control devices are installed corresponding to the mattresses. All the control devices are connected to one host computer that is remotely arranged.
Further, the biological information monitoring system according to claim 16 is the biological information monitoring system according to claim 15, wherein the biological information is obtained and notified by the control device, and the one remote host computer is disposed. Thus, a list display of the outline of various biological information in each of the control devices and a detailed display of various biological information in one specific control device are switched and displayed.
The biological information monitoring system according to claim 17 is the biological information monitoring system according to any one of claims 1 to 16, wherein the bed sensor includes a pair of plate-like members installed in parallel. An elastic support member provided between the pair of plate-like members, and a bed leaving detection switch that is installed between the pair of plate-like members and is selectively pressed via the pair of plate-like members. It is characterized by being configured.
The biological information monitoring system according to claim 18 is the biological information monitoring system according to claim 17, wherein the bed leaving detection switch is provided with a protrusion that contacts the plate-like member. It is a feature.
The biological information monitoring system according to claim 19 is the biological information monitoring system according to claim 17, wherein a predetermined gap is provided between the protrusion of the bed detection switch and the plate member. It is characterized by this.
A biological information monitoring system according to claim 20 is the biological information monitoring system according to any one of claims 1 to 19, wherein the biological information collection sheet is provided with a plurality of air chambers. A bag body that is communicated and provided in a sheet shape as a whole, and a sensor module provided in the air chamber and provided with a circuit for amplifying a signal from the sensor on the substrate. It is what.
The biological information monitoring system according to claim 21 is the biological information monitoring system according to claim 20, wherein a plate-like pressing member is installed on the surface of the biological information collection sheet on the user side. It is characterized by.

As described above, according to the biological information monitoring system described in claim 1 of the present invention, the biological information monitoring system described in claim 1 is installed under the mattress on which the user lies in order to solve the above problems. Based on a bed sensor, a biological information collection sheet installed under the mattress, a signal from the bed sensor and a signal from the biological information collection sheet, the user's bed / bed and biological information are monitored. In the biological information monitoring system comprising the monitoring device, the monitoring device determines the user's bed / bed based on the signal from the bed sensor and based on the mixed signal from the biological information collection sheet. Various biological bodies obtained by calculating mixed signals from the biological information collection sheet when it is determined that there is no significant event Because it is a report information, it is possible to obtain vital information such as death, seizure, getting out of bed quickly, as well as more accurately obtaining biological information such as respiratory rate, heart rate and pulse rate and their waveforms, and It is now possible to warn with fewer misjudgments.
Further, according to the biological information monitoring system according to claim 2, in the biological information monitoring system according to claim 1, the determination of the bed leaving / floating is performed by using an off signal among the on / off signals of the bed leaving sensor. Since the bed leaving determination is performed when the detected bed leaving detection time exceeds a predetermined erroneous detection prevention time, it is possible to determine the bed leaving and make an alarm with a small number of erroneous determinations.
Further, according to the biological information monitoring system according to claim 3, in the biological information monitoring system according to claim 1 or 2, the determination of the presence or absence of the important event is a cardiopulmonary stop determination and a body movement determination, The cardiopulmonary arrest determination is performed by detecting that a state in which the threshold value set in the mixed signal is counted for a predetermined time within a predetermined time continues for a predetermined time, and the body movement determination is set in the mixed signal. In this case, cardiopulmonary arrest and abnormal body movements are determined with few erroneous determinations, because it is determined that the state where the threshold value is counted for a predetermined number of times within a predetermined time continues for a predetermined time. Can alarm.
According to the biological information monitoring system described in claim 4, in the biological information monitoring system according to any one of claims 1 to 3, it is determined that the monitoring device is in the floor and has no important event. In this case, the mixed signal from the biological information collection sheet is filtered to obtain a respiration waveform, the respiration rate is calculated from the respiration waveform, and the respiration rate is within a predetermined normal respiration range. If it is outside the normal respiratory rate range, it is determined that the respiratory abnormality is present, and the mixed signal from the biological information sheet is filtered to obtain a pulse waveform, and the pulse rate is calculated from the pulse waveform. If the pulse rate is within the predetermined normal pulse rate range, the pulse rate is notified, and if the pulse rate is outside the normal pulse rate range, it is determined that the pulse is abnormal. Can judge and alarm for abnormalities
Further, according to the biological information monitoring system according to claim 5, in the biological information monitoring system according to any one of claims 1 to 4, the monitoring device includes getting out of bed / being in bed, cardiopulmonary arrest, body movement. Based on each determination of breathing, pulse, abnormal alarms are output in the order of getting out / being in bed, cardiopulmonary arrest, body movement, breathing, and pulse. Since it is configured, important events such as cardiopulmonary arrest and abnormal body motion can be quickly determined and alerted.
Further, according to the biological information monitoring system described in claim 6, in the biological monitoring system according to claim 5, by performing a process of suppressing an alarm lower than that when the alarm of leaving the bed / bed is performed, Since it is configured not to output a lower alarm when a higher alarm is output, the above effect can be ensured.
Further, according to the biological information monitoring system according to claim 7, in the biological information monitoring system according to claim 6, the processing time is set to a predetermined value for each of the cardiopulmonary arrest, body movement, breathing, and pulse alarms. By doing so, when the higher level alarm is output, the lower level alarm is not output, so that the above effect can be further ensured.
Further, according to the biological information monitoring system described in claim 8, in the biological information monitoring system according to any one of claims 1 to 7, the monitoring device further performs apnea discrimination. Respiratory abnormalities can be determined and alerted with higher accuracy.
According to the biological information monitoring system described in claim 9, in the biological information monitoring system according to claim 8, the apnea determination is a signal having an amplitude equal to or greater than a predetermined threshold in the mixed signal within a predetermined time. Since this is performed based on the frequency of occurrence of, the above effect can be made more reliable.
Further, according to the biological information monitoring system described in claim 10, in the biological information monitoring system according to any one of claims 1 to 9, the determination of getting out of bed / bed is performed by turning on / off the bed sensor. Of the OFF signals, even when the bed detection time during which the OFF signal is detected exceeds the predetermined false detection prevention time, the bed detection time during which the OFF signal is detected is determined to be equal to the predetermined continuous bed leaving time even if the bed detection is not performed. If it exceeds, it is determined that there is a continuous bed abnormality, so it is possible to reliably determine and alarm for a continuous bed abnormality.
Further, according to the biological information monitoring system described in claim 11, in the biological information monitoring system according to any one of claims 1 to 9, the determination of the bed leaving / floating is made by turning on / off the bed sensor. Of the OFF signals, when the bed detection time during which the OFF signal is detected exceeds a predetermined false detection prevention time, it is determined that the bed has been detected, and the ON signal of the ON / OFF signal of the bed sensor is detected. When the presence detection time exceeds a predetermined continuous bed time, it is determined that there is a continuous bed abnormality, so that it is possible to reliably determine and give an alarm about getting out of bed and continuous bed abnormality.
Further, according to the biological information monitoring system described in claim 12, in the biological information monitoring system according to any one of claims 1 to 9, the determination of getting out of bed / bed is performed by turning on / off the bed sensor. Of the OFF signals, even when the bed detection time during which the OFF signal is detected exceeds the predetermined false detection prevention time, the bed detection time during which the OFF signal is detected is determined to be equal to the predetermined continuous bed leaving time even if the bed detection is not performed. When it exceeds, it is determined that the abnormal bed leaving is detected, and when the bed detection time for detecting the on signal of the on / off signal of the bed leaving sensor exceeds a predetermined continuous bed time, the continuous bed leaving is detected. Since it is determined that there is an abnormality, it is possible to reliably determine and warn of a continuous bed leaving abnormality and a continuous bed lying abnormality.
According to the biological information monitoring system described in claim 13, in the biological information monitoring system according to claim 11, the presence / absence of notification regarding the getting-off determination can be selected. It is also possible to issue an alarm only for continuous bed abnormalities and not to issue an alarm only by leaving the bed.
Further, according to the biological information monitoring system according to claim 14, in the biological information monitoring system according to any one of claims 1 to 13, the monitoring device includes a control device installed in the vicinity of the mattress, Alternatively, since the host computer is remotely located, the system configuration can be afforded and a user-friendly system can be provided.
Further, according to the biological information monitoring system according to claim 15, in the biological information monitoring system according to claim 14, there are a plurality of the mattresses, and the control devices are respectively installed corresponding to the mattresses. Since all these control devices are connected to one remotely located host computer, they can be centrally managed by one host computer.
Further, according to the biological information monitoring system described in claim 16, in the biological information monitoring system according to claim 15, the biological information is obtained and notified by the control device, and the one remote host is provided. Since the computer is configured to switch between a summary display of various biological information in each of the control devices and a detailed display of various biological information in a specific one control device, it is highly accurate with few monitoring omissions. Monitoring becomes possible.
According to the biological information monitoring system described in claim 17, in the biological information monitoring system according to any one of claims 1 to 16, the bed sensor is a pair of plate-like members installed in parallel. An elastic support member provided between the pair of plate-like members, a bed leaving detection switch that is installed between the pair of plate-like members and selectively pressed via the pair of plate-like members, Therefore, the detection range can be expanded without increasing the size of the bed detection switch itself.
Further, according to the biological information monitoring system according to claim 18, in the biological information monitoring system according to claim 17, since the bed leaving detection switch is provided with a protrusion that comes into contact with the plate-like member. Thereby, the detection sensitivity can be increased.
The biological information monitoring system according to claim 19 is the biological information monitoring system according to claim 17, wherein a predetermined gap is provided between the protrusion of the bed detection switch and the plate member. Therefore, the above-mentioned bed leaving detection switch is not carelessly pressed through the protrusion, thereby preventing erroneous detection and improving durability.
According to the biological information monitoring system described in claim 20, in the biological information monitoring system according to any one of claims 1 to 19, the biological information collection sheet is provided with a plurality of air chambers. Are connected to each other and are formed into a sheet-like form as a whole, and a sensor module provided on the substrate with a sensor provided in the air chamber and a circuit for amplifying a signal from the sensor. Biometric information can be collected with high accuracy.
Further, according to the biological information monitoring system described in claim 21, in the biological information monitoring system according to claim 20, a plate-like pressing member is provided on the surface of the biological information collection sheet on the user side. Therefore, the detection sensitivity can be increased thereby.

It is a figure which shows the 1st Embodiment of this invention and is a side view which shows the whole structure of a biological information monitoring system. FIG. 2A is a perspective view of a control device as viewed from above, and FIG. 2B is a perspective view of the control device as viewed from below. It is a figure which shows the 1st Embodiment of this invention and is a functional block diagram of a biological information monitoring system. It is a figure which shows the 1st Embodiment of this invention, and is a top view which shows a bed leaving sensor. 5A and 5B are diagrams illustrating a first embodiment of the present invention, in which FIG. 5A is a cross-sectional view taken along the line VV of FIG. 4 and illustrates a state in which the bed leaving detection switch is not pressed, and FIG. It is sectional drawing which shows the state by which the detection switch was pressed. It is a figure which shows the 1st Embodiment of this invention and is a top view of a biometric information collection sheet | seat. It is a figure which shows the 1st Embodiment of this invention, and is VII-VII sectional drawing of FIG. FIG. 8A is a perspective view of a sensor module used in a biological information collection sheet, and FIG. 8B is an exploded view of the sensor module used in the biological information collection sheet. FIG. 8C is a perspective view (excluding the heat-shrinkable tube covering the sensor module main body), and FIG. 8C is an enlarged cross-sectional view showing the cable penetration portion of the biological information collection sheet. FIGS. 9A and 9B show a first embodiment of the present invention, FIG. 9A shows the first page of the control device setting screen, and FIG. 9B shows the second page of the control device setting screen. FIG. It is a figure which shows the 1st Embodiment of this invention and is a figure which shows the 3rd page of the setting screen of a control apparatus. It is a figure which shows the 1st Embodiment of this invention and is a figure which shows the normal operation display screen of a control apparatus. FIG. 12A is a diagram illustrating a first embodiment of the present invention, FIG. 12A is a graph illustrating a mixed signal output from a biological information collection sheet, and FIG. 12B is a calculation of the mixed signal of FIG. FIG. 12C is a graph showing the pulse data extracted by processing the mixed signal shown in FIG. 12A. FIG. 13A is a diagram showing a first embodiment of the present invention, FIG. 13A is a graph showing mixed signals output from a biological information collection sheet when a body pressure dispersion mattress is used, and FIG. FIG. 13C is a graph showing respiration data extracted from the mixed signal output from the biological information collecting sheet when the pressure dispersion mattress is used, and FIG. 13C is output from the biological information collecting sheet when the body pressure dispersion mattress is used. FIG. 13D is a graph showing pulse data extracted from the mixed signal, FIG. 13D is a graph showing the mixed signal output from the biological information collection sheet when a normal mattress is used, and FIG. 13E is a normal mattress. FIG. 13F is a graph showing respiratory data extracted from the mixed signal output from the living body information collecting sheet in the case of the normal mattress. Graph showing pulse data extracted from mixed signal output from biological information collection sheet when used, FIG. 13G is a graph showing mixed signal output from biological information collection sheet when using an air mattress, FIG. 13 (h) is a graph showing respiration data extracted from a signal output from a biological information collecting sheet when an air mattress is used, and FIG. 13 (i) is a biological information collecting sheet when a normal mattress is used. It is a graph which shows the pulse data extracted from the mixed signal output. FIG. 14A is a diagram illustrating a first embodiment of the present invention, FIG. 14A is a graph illustrating a mixed signal output from a biological information collection sheet, and FIG. 14B is a diagram illustrating processing of the mixed signal illustrated in FIG. FIG. 14C is a graph showing the respiration data extracted by the respiration data, and FIG. 14C is a graph showing the respiration data measured by the respiration band and the respiration rate counted by this respiration data. FIG. 14 (d) is a graph showing pulse data extracted by processing the mixed signal of FIG. 14 (a), a diagram showing the pulse rate counted by this pulse data, and FIG. FIG. 14 (f) is a graph showing pulse data measured by a pulse wave meter and a chart showing the pulse rate counted by this pulse data. FIG. 14 (f) shows the respiratory data extracted by processing the mixed signal and the respiratory data by the respiratory band. Correlation coefficient Is a diagram showing the correlation coefficient between the pulse data according to the pulse data and the photoelectric pulse wave detector extracted by processing the mixed signal. FIG. 15A is a diagram showing a first embodiment of the present invention, FIG. 15A is a graph showing the signal level of the bed sensor when the user is in the supine position, and FIG. FIG. 15C is a graph showing the signal level of the bed sensor when the user is in the lying position, and FIG. 15C is a graph showing the signal level of the bed sensor when the user is in the left-side position. ) Is a graph showing the signal level of the bed sensor when the user is in the right-side position. In the figure showing the first embodiment of the present invention, whether the bed leaving / floating state can be detected by the bed leaving sensor for each place where the bed leaving sensor is installed is changed by changing the type of the mattress and the posture of the user. It is a table | surface which shows the result measured. It is a figure which shows the 1st Embodiment of this invention and is a figure which shows the individual setting screen of a host computer. FIG. 18A is a diagram showing a first embodiment of the present invention, FIG. 18A is a list screen of a host computer and shows a screen when there is no abnormality during normal operation, and FIG. 18B is a host computer It is a figure which is a list screen, and is a figure which shows a screen when abnormality is alert | reported during normal operation | movement. It is a figure which shows the 1st Embodiment of this invention, and is a figure which shows the screen which is the detail screen of a host computer, and displays the individual data of arbitrary control apparatuses. It is a figure which shows the 1st Embodiment of this invention and is a flowchart which shows a bed leaving / bed presence discrimination process. It is a figure which shows the 1st Embodiment of this invention, and is a flowchart which shows a cardiopulmonary stop discrimination | determination process. It is a figure which shows the 1st Embodiment of this invention and is a flowchart which shows a body movement discrimination | determination process. It is a figure which shows the 1st Embodiment of this invention and is a flowchart which shows a respiration measurement process. It is a figure which shows the 1st Embodiment of this invention and is a flowchart which shows a pulse measurement process. It is a figure which shows the 1st Embodiment of this invention and is a flowchart which shows a continuous bed leaving determination process. It is a figure which shows the 1st Embodiment of this invention, and is a flowchart which shows a bed leaving / flooring, continuous bed presence discrimination process. It is a figure which shows the 1st Embodiment of this invention, and is a flowchart which shows a continuous bed leaving determination process and a continuous bed presence determination process. It is a figure which shows the 1st Embodiment of this invention and is a flowchart which shows an apnea discrimination | determination process. FIG. 29A is a diagram showing a first embodiment of the present invention, FIG. 29A is a graph showing a mixed signal output from a biological information collection sheet when there is a user's breathing, and FIG. 29B is FIG. FIG. 29C is a graph obtained by converting the mixed signal of FIG. 29A to an absolute value, FIG. 29C is a graph showing the mixed signal output from the biological information collection sheet when there is no breathing by the user, and FIG. It is the graph which converted the mixed signal of (c) into the absolute value. It is a figure which shows the 2nd Embodiment of this invention, and is a flowchart for demonstrating the priority of an alarm. It is a figure which shows the 3rd Embodiment of this invention, and is a top view of a biometric information collection sheet | seat. It is a figure which shows the 3rd Embodiment of this invention, and is XXXII-XXXII sectional drawing of FIG. It is a figure which shows the 4th Embodiment of this invention, and is a top view of a biometric information collection sheet | seat.

Hereinafter, a first embodiment of the present invention will be described with reference to FIGS. The biological information monitoring system 1 according to the first embodiment has a configuration as shown in FIG.
First, there are a plurality of beds 3 _{1 to} 3 _n . Mattresses 5 _{1 to} 5 _n are respectively installed in the plurality of beds 3 _{1 to} 3 _n . The aforementioned bed ₃ 1 to 3 _n mattress ₅ 1 on to 5 _n of the user ₇ 1 to _7-n lying respectively.

Also, floor sensors 11 _{1 to} 11 _n and biological information collection sheets 13 _{1 to} 13 _n are installed under the mattresses 5 _{1 to} 5 _n of the beds 3 _{1 to} 3 _n , respectively.
Control devices 15 ₁ to 15 _n are installed in the vicinity of the beds 3 _{1 to} 3 _n , respectively. Nurse control call button devices 17 _{1 to} 17 _n are connected to these control devices 15 ₁ to 15 _n , respectively.
The host computer 19 is installed, by the host computer 19, the biological information sent from the control device ₁₅ 1 to 15 _n in the control and the control device ₁₅ 1 to 15 _n, for example, the radio communication To collect and manage.
In the case of the present embodiment, a case where n = 5 will be described as an example.

Hereinafter, the configuration of each unit will be described in detail.
First, the configuration of the control device ₁₅ 1 to 15 _n, will be described by way of control device 15 ₁ as an example.
The control device 15 ₁ has a look as shown in Figure 2. First, there is a housing 21, and a display 23 with a touch panel is installed on the front surface (the lower left surface in FIG. 2A). Further, a power / interrupt push button 25 is provided on the lower side of the display 23 with a touch panel in FIG. By the operation of the power supply / interruption pushbutton 25 performs the power on / off and control device 15 _1, the suspend / resume process.

Further, as shown in FIG. 2A, a biological information data output terminal 27 and a bed leaving sensor data output terminal 29 are installed on the right side surface (the right side surface in FIG. 2) of the casing 21. As shown in FIG. 2B, a software update terminal 31 is provided on the left side surface (the left side surface in FIG. 2) of the casing 21. In addition, a biological information data input terminal 33, a bed leaving sensor data input terminal 35, and a power supply terminal 37 are installed on the bottom surface (the lower surface in FIG. 2) of the casing 21. The biological information data input signal cables 135 ₁ to the terminal 33 is connected, the signal cable 136 ₁ with the lifting sensor data input terminal 35 is connected.
In the case of this embodiment, since during the control device 15 ₁ and the host computer 19 has a configuration for transmitting and receiving data wirelessly, lifting the sensor data output terminal and the biometric information data output terminal 27 29 is never used.

Further, the control unit 15 _1, as shown in FIG. 3, there are measuring means 41, with the signal from the lifting sensor 11 ₁ is input to the measuring unit 41, from the living body information collecting sheet 13 ₁ A mixed signal is input. The mixed signal is user 7 ₁ heartbeat, breathing, in which body motion, pulse, vibration due to an equal mixed.
To the control device 15 _1, has a signal processing unit 43, by the signal processing unit 43, the arithmetic processing of the filtering process such as the mixed signal is subjected, signals only waveform is extracted by the respiratory waveform by pulse Only the extracted signal is generated.

The above control device 15 ₁ is abnormal determination means 45. The abnormality judgment means 45, the signal from the lifting sensor 11 ₁ via the measuring means 41, together with mixed signals from the living body information collecting sheet 13 ₁ is input, the processing through the signal processing means 43 Processed signal is input. The abnormality determining means 45 determines abnormalities in getting out of bed / being in bed (out of bed, continuous abnormalities in bed leaving, abnormal abnormal in bed), abnormalities in heart rate, abnormalities in body movement, abnormalities in breathing, abnormalities in pulse. . To the control device 15 _1, there is a setting managing unit 47. The setting management unit 47 sets the abnormality determination unit 45.

To the control device 15 _1, there is a display unit 49. This display means 49 indicates the presence / absence of getting out of bed / being in bed (being out of bed, continuous getting out of bed, abnormal being out of bed), heartbeat, body motion, breathing, and pulse, and the above mixed signal. Displays a waveform, a waveform indicating respiration, a waveform indicating pulse, and the like. A touch panel 51 is provided, and the setting management unit 47 and the like are operated via the touch panel 51.
In addition, the display 23 with a touch panel is obtained by overlapping the touch panel 51 on the surface side of the display means 49.

Further, in the above control device 15 ₁ is notification means 53. This notifying means 53 detects abnormalities in getting out of bed / being out of bed (being out of bed, continuous out of bed, abnormal in bed), abnormalities of heartbeat, abnormalities in body movement, abnormalities in breathing, abnormalities in pulse, for example, nurse call, telephone call, etc. The alarm sound is used for notification.
The notification in the present invention is a concept including both the display means 49 and the notification means 53 already described.
Further, the control device 15 _1, Wireless communication unit 55. Signal from ambulation sensor 111 obtained via the measuring means 41, mixed signals from the living body information collecting sheet 13 _1, the notification by the notification means is transmitted to the host computer 19 via the wireless communication means 55 The Conversely, signals from the host computer 19 is received by the control device 15 ₁ via the wireless communication unit 55.
The configuration of the other control devices ₁₅ 2 to 15 _n, the relationship with the other control units ₁₅ 2 to 15 _n and the host computer 19 have the same configuration.

Next, the configuration of the host computer 19 will be described. As shown in FIG. 3, the host computer 19 has wireless communication means 61. Via the wireless communication unit 61, the control device ₁₅ 1 to 15 signals from the lifting sensor ₁₁ 1 to 11 _n via the _n, mixed signals from the living body information collecting sheet ₁₃ 1 to 13 _n, the control device 15 ₁ which receives a broadcast signal from to 15 _n, and transmits various control signals to the control device ₁₅ 1 to 15 _n.

The host computer 19 has signal processing means 63, and the signal processing means 63 performs arithmetic processing such as filtering on the received mixed signal to separate and generate a waveform signal due to breathing and a waveform signal due to pulse. Is done.
The host computer 19 has an abnormality determining means 65. The abnormality determination means 65 is supplied with signals from the floor sensors 11 _{1 to} 11 _n and mixed signals from the biological information collection sheets 13 _{1 to} 13 _n via the wireless communication means 61 and the signal processing means 63. The waveform signal due to respiration and the waveform signal due to the pulse are input via. The abnormality determination means 65, the signal from the lifting sensor ₁₁ 1 to 11 _n thus received, based on the mixed signal from the living body information collecting sheet ₁₃ 1 to 13 _n, lifting / the bed of abnormality (lifting, continuous lifting abnormal , Continuous bed abnormalities), heartbeat abnormalities, body movement abnormalities, respiratory abnormalities, pulse abnormalities.
The host computer 19 has setting management means 67. The setting management unit 67 sets the abnormality determination unit 65.
Note that, by setting the abnormality determination means 65 via the setting management means 67 on the host computer 19 side, the information is transmitted to the respective control devices 5 _{1 to} 5 _n . On the contrary, in each of the control devices 5 _{1 to} 5 _n , if the abnormality determination unit 45 is set by the setting management unit 47, the information is also transmitted to the host computer 19. That is, regardless of whether the setting is made by the host computer 19 or the control devices 5 _{1 to} 5 _n , the information is shared by both.

The host computer 19 has display means 69. This display unit 69, the state of the user ₇ 1 to _7-n all (e.g., respiration, pulse rate, etc.) both display is performed, the user ₇ 1 to _7-n, respectively lifting / the bed abnormal (Get out of bed, continuous bed abnormalities, continuous bed abnormalities), heart rate abnormalities, body movement abnormalities, respiratory abnormalities, pulse abnormalities, waveforms due to the mixed signals, waveforms due to breathing, waveforms due to pulses, etc. are displayed.
There is also an input means 71. This input means is, for example, a keyboard or a mouse, and can operate the setting management means 67 and the like.

Further, the host computer 19 has a notification means 73. This notifying means 73 detects abnormalities in getting out of bed / being in bed (being out of bed, continuous getting out of bed, abnormal being in bed), abnormalities of heartbeat, abnormalities in body movement, abnormalities in breathing, abnormalities in pulse, for example, by mail transmission or telephone transmission. The alarm sound is used for notification.
The notification in the present invention is a concept including both the display means 69 and the notification means 73 already described.

Next, the configuration of the lifting sensor ₁₁ 1 to 11 _n, the lifting sensor 11 ₁ by way of example, be described with reference to FIG. 4, FIG.
First, there are plate-like members 81a and 81b installed in parallel. These plate-like members 81a and 81b are made of polycarbonate, for example. Support members 83a to 83f made of an elastic member are installed between the plate-like members 81a and 81b and at the four corners and the middle two places. These support members 83a to 83f are made of urethane, for example.

Further, a bed leaving detection switch 85 is installed in the middle between the plate-like members 81a and 81b. The bed leaving detection switch 85 is fixed to the plate-like member 81b via a raising member 87.
The bed leaving detection switch 85 includes, for example, a rubber switch housing 91, two electrodes 93a and 93b installed inside the switch housing 91, and the two electrodes 93a and 93b. Insulating support members 95 and 95 installed at both ends in the width direction (left and right direction in FIG. 5A). Further, a protrusion 97 is formed on the plate-like member 81a side (the upper side in FIG. 5A) of the switch housing 91. The protrusion 97 is in contact with the plate-like member 81a.
It is also conceivable that a slight gap is positively provided between the protrusion 97 and the plate-like member 81a, thereby preventing erroneous detection and improving durability.

The lifting sensor 11 _1, when pressed from the upper side middle FIG. 5 (a), the said lifting detection switch 85 via the plate-like member 81a is pressed, the electrode 93a is pressed or deformed together with the switch housing 91 Then, the electrode 93a and the electrode 93b come into contact with each other and are energized. Thereby detecting the lifting / the bed of the user _71. That is, in the state of FIG. 5A, the bed detection switch 85 is “off” and is determined to be a bed leaving. In the state of FIG. 5B, the bed detection switch 85 is “on” and the floor is detected. Determined.
Further, the cable 136 ₁ is pulled out already mentioned from the lifting sensor 11 _1.
The other bed sensors 11 _{2 to} 11 _n have the same configuration.

Next, the configuration of the living body information collecting sheet ₁₃ 1 to 13 _n, the living body information collecting sheet 13 ₁ by way of example, be described in detail.
In the living body information collecting sheet 13 _1, first, as shown in FIGS. 6 and 7, there is a bag 101. As shown in FIG. 7, the bag body 101 is configured in a sheet shape as a whole by bonding two sheet members 103 a and 103 b together.
Further, as shown in FIG. 6, the bag body 101 is provided with a plurality of (two in the case of the first embodiment) air chambers 105, 105. The communication paths 107, 107, 107, 107, 107, 107 are in communication with each other (six in the case of the first embodiment). The bag body 101 is provided with an air injection port 109 with a check valve.

  A sensor module 111 is enclosed in the bag body 101. As shown in FIG. 8A, the sensor module 111 includes a sensor module main body 113 and a heat shrinkable tube 115 that covers the surface of the sensor module main body 113. The heat-shrinkable tube 115 covers the sensor module main body 113 in a state where the front and rear end sides (both ends in the direction from the lower left to the upper right in FIG. 8A) are opened.

  The sensor module main body 113 has the following configuration. As shown in FIG. 8B, there are a lower case 117 having a substantially U-shaped cross section and an upper case 119 having a substantially inverted U-shaped cross section. The upper case 119 is engaged with the upper side of the lower case 117 from the outside. When the upper case 119 is put on the lower case 117, the front and rear end sides (both end sides in the direction from the lower left to the upper right in FIG. 8A) are opened.

Inside the lower case 117, a substrate 125 on which a pyroelectric infrared sensor 121, an amplification circuit for amplifying the output of the pyroelectric infrared sensor 121, and a plurality of electronic components 123 constituting a filter circuit and the like are mounted. Is installed. The pyroelectric infrared sensor 121 detects a minute temperature change around the sensor module 111 due to an air flow in the bag body 101 through a change in the amount of infrared rays. That is, the amount of infrared rays changes when a small temperature change occurs due to an air flow around the sensor module 111. The pyroelectric infrared sensor 121 detects the change in the amount of infrared rays. In the pyroelectric infrared sensor 121, the distribution of electrons in a pyroelectric body (not shown) is changed by weak changing infrared rays, and the air around the sensor module 111 is changed from the change in output voltage due to the change in the distribution of electrons. Temperature change is detected. Moreover, since the pyroelectric infrared sensor 121 has high sensitivity in a low frequency range, it is suitable for detecting heartbeats and breathing of the users 7 _{1 to} 7 _n .

A plurality (three in the case of this embodiment) of lead wires 127 are connected to the rear end side of the substrate 125 (upper right side in FIG. 8B). The lead wire 127 is composed of a conductor 129 and a covering tube 131. These three leads 127 are coated with a coating tube 133, thereby being configured cable 135 ₁ already mentioned. Further, the cable 135 _1, near the opening of the substrate 125 side of the cover tube 133 (FIG. 8 (b) Medium lower left side) are bundled by the heat shrinkable tube 137.
Incidentally, as the cable 135 _1, for example, a commercially available modular cable is used.

Next, the sealing process will be described. Before explaining the details of the sealing process, a brief description will be given of how the patent applicant has reached the sealing process. As a result of a load resistance test using a prototype before the sealing treatment, air leakage was confirmed. Accordingly, the present patent applicant, assuming the air leakage through the penetration portion of the bag body 101 of the cable 135 _1, performs a predetermined encapsulation process there.
However, the air leak could not be completely prevented.
Accordingly, the present patent applicant repeated further experiments, the cable 135 ₁ covering tube 133, and was led to check the air leakage through the gap between the end of the coating tube 131 leads 127. Therefore, they cable 135 ₁ covering tube 133, and were subjected to predetermined sealing treatment even for clearance of the end of the coating tube 131 leads 127.
Hereinafter, sequentially described from the sealing treatment applied to the penetrating portion of the bag body 101 of the cable 135 _1.

First, as shown in FIG. 8, the heat shrinkable tube 139 is covered in a portion penetrating the outer periphery of the receptacle 101 of the cable 135 _1. By thermally welded in a state of covering the heat-shrinkable tube 139, so as to prevent air leakage between the cable 135 ₁ and the sheet material 103a, 103b. In the case of this embodiment, further, by providing the adhesive layer on the inside of the heat shrinkable tube 139, so as to completely seal the gap between the heat shrinkable tube 139 and the cable 135 ₁ ing.
In the case of this embodiment, as shown in FIG. 8C, the heat shrinkable tube 139 is interposed between the reinforcing sheets 141a and 141b. Further, the sheet material 103a is on the side of the anti-heat-shrinkable tube 139 (upper side in FIG. 8 (c)) of the reinforcing sheet 141a, and the side of the anti-heat-shrinkable tube 139 side (lower side in FIG. 8 (c)) of the reinforcing sheet 141b. ) Includes the sheet material 103b.
And these the sheet material 103a, 103b, the reinforcing sheet 141a, 141b, the heat shrinkable tube 139, the adhesive layer, by heat welding together the cables 135 _1, by the cable 135 ₁ of the receptacle 101 The part to be penetrated is sealed.
The reinforcing sheets 141a and 141b have the same structure and material as the sheet materials 103a and 103b.

Incidentally, if slightly additional remark about sealing portion to be penetrated by the cable 135 ₁ of the receptacle 101, initially, the sheet material 103a covered with a heat shrinkable tube 139 which is not provided with the adhesive layer on the cable 135 ₁ , 103b and heat welding. However, still, it has not been possible to completely prevent air leakage through the penetration portion of the cable 135 _1. Specifically, one in which air leakage through the gap between the cables 135 ₁ and the heat shrinkable tube 139 has occurred. Therefore, an adhesive layer is provided on the inner peripheral side of the heat shrinkable tube 139. Whereby, in which it is possible to completely prevent air leakage at the penetrating portion of the cable 135 _1.
Moreover, the sealing of the portion to be penetrated by the cable 135 ₁ of the receptacle 101 may also use an adhesive such as heat-bonded to the other heat welding.

Next, the cable 135 ₁ covering tube 133, and will be described sealing treatment in the gap of the end of the coating tube 131 leads 127. As shown in FIG. 8 (b) compacting, connection to the board 125 of the cable 135 _1, i.e., the range that leads to the coating tube 133 from the exposed portion of the conductor 129 of each lead 127 by an adhesive 143 It has been. Thus, the cable 135 ₁ covering tube 133 and the air leaks through the gap at the end of the coating tube 131 leads 127, i.e., between the plurality of lead wires 127 and the plurality of lead wires 127 and the coating Air leakage through the gap between the tubes 133 and air leakage through the gap between the conductor 129 of each lead wire 127 and the covering tube 131 are prevented.
The adhesive 143 has high gas barrier properties such as heat bonding, resin, and silicon.
The biological information collecting sheets 13 _{2 to} 13 _n have the same configuration.
Incidentally, Japanese Patent Laid-Open No. 2014-64714 by the present patent applicant is disclosed as an invention relating to a biological information collection sheet.

Next, the operation of the biological information monitoring system 1 according to the first embodiment will be described.
First, the operation of the bed leaving sensors 11 _{1 to} 11 _n will be described.
If the user ₇ 1 to _7-n is lying ₃ 1 to 3 _n mattress ₅ 1 on to 5 _n bed the lifting sensor ₁₁ 1 to 11 _n is pressed from the upper middle FIG 5 (a). At this time, the bed leaving detection switch 85 is pressed through the plate-like member 81a, the electrode 93a is pressed and deformed together with the switch housing 91, and the electrode 93a and the electrode 93b come into contact with each other to be “ON”. Become. As a result, the electrodes 93a and 93b are energized to detect the presence of the users 7 _{1 to} 7 _n .
If the user ₇ 1 to _7-n is not lying on the mattress ₅ 1 on to 5 _n of the bed ₃ 1 to 3 _n is the electrode 93a is elastically restored, the electrodes 93a, 93 b is a non-contact is parallel to State and "off". In this case, the electrode 93a, is between 93b becomes non-energized state to detect the lifting of the user ₇ 1 to _7-n. The detection signals are input to the control devices 15 ₁ to 15 _n via the cables 136 _{1 to} 136 _n .

Next, the operation of the biological information collection sheets 13 _{1 to} 13 _n will be described.
The bag body 101 is pressed due to slight operations such as breathing of the users 7 _{1 to} 7 _n , thereby generating an air flow in the bag body 101. As a result, an air flow is also generated around the sensor module 111, and the temperature of the air around the sensor module 111 is changed by the air flow. The amount of infrared rays generated due to this temperature change changes, and the change in the amount of infrared rays is detected by the sensor module 111. Thereby, biological information such as heartbeat, body motion, respiration, and pulse of the users 7 _{1 to} 7 _n is detected. Output signals from the sensor module 111 are input to the control devices 15 ₁ to 15 _n via the cables 135 _{1 to} 135 _n .

Next, the effect | action of a sealing part is demonstrated.
In the portion of the bag body 101 that is penetrated by the cables 135 _{1 to} 135 _n , the sheet materials 103a and 103b, the reinforcing sheets 141a and 141b, the heat-shrinkable tube 139, the adhesive layer, and the cable 135 are collectively heat welded. Therefore, air leakage from between the cables 135 _{1 to} 135 _n and the sheet materials 103 a and 103 b is effectively prevented.
In particular, in the above cable ₁₃₅ 1 to 135 _n for heat-shrinkable tube 139 with an adhesive layer on the inside is covered by the adhesive layer of the cable ₁₃₅ 1 to 135 _n and the heat shrinkable tube 139 The gap between them is also reliably closed, and air leakage through this gap is reliably prevented.
In addition, since the connection portion of the cables 135 _{1 to} 135 _{n to} the substrate 125, that is, the range from the exposed conductor 129 portion of each lead wire 127 to the covered tube 133 is hardened by the adhesive 143, Air leakage from the bag body 101 through the gaps at the ends of the covered tubes 133 of the cables 135 _{1 to} 135 _n and the covered tubes 131 of the lead wires 127 is reliably prevented.

Next, the operation of the control devices 15 ₁ to 15 _n will be described.
First, the operation of the setting management means 47 of the control devices 15 ₁ to 15 _n will be described. The setting management means 47 is operated via the touch panel 51 via a setting screen as shown in FIG. 9A, FIG. 9B, and FIG. The setting screens shown in FIG. 9A, FIG. 9B, and FIG. 10 are switched in order by operating the switching button 151.

Further, the apparatus number is set by inputting the apparatus number in the apparatus number column 153.
When the device number field 153 portion of the touch panel 51 is operated, a software keyboard (not shown) is displayed on the display means 49, and numerals and characters are input via the software keyboard. In the following various setting fields, numbers and characters are input via the same software keyboard.
Further, the operation modes of the control devices 15 ₁ to 15 _n are set to “leaving mode”, “watching mode”, and “leaving / watching mode” by the leaving mode button 157a, the watching mode button 157b, and the leaving / watching mode button 157c. You can switch to Details of these operation modes will be described later.

  In addition, the normal respiratory rate setting field 159 sets a range of respiratory rates regarded as normal breathing (for example, 8 to 28 times / minute). Further, the respiratory abnormal continuous time setting field 161 sets a respiratory abnormal continuous time (for example, 120 seconds).

  In addition, the normal pulse rate setting field 163 sets a pulse rate range (for example, 40 to 120 times / minute) that is regarded as a normal pulse. Further, a pulse abnormality continuous time setting field 165 sets a pulse abnormality continuous time (for example, 120 seconds).

  In addition, the bed leaving time (for example, 2 seconds) at the time of bed leaving determination is set by the bed leaving time setting field 167. Further, the continuous bedtime setting field 169 sets a continuous bedtime (for example, 1440 minutes) for which notification is to be made. When the continuous bedtime for performing this notification is set to “0”, the notification is not performed. Also, the presence / absence notification of getting out of the bed can be set by the setting-up button 173a for getting out of the bed and the release button 173b for getting out of the bed. Moreover, the continuous bed leaving time (for example, 1440 minutes) which performs alerting | reporting is set by the continuous bed leaving time setting column 171. FIG. In addition, the sensor waveform magnification setting field 175 can set the magnification (for example, 1 time) of the mixed signal displayed on the display means 49. Further, the respiration waveform magnification setting field 177 allows the respiration waveform magnification (for example, 1 time) to be displayed on the display means 49 to be set. In addition, the pulse waveform magnification setting field 179 can set the magnification (for example, 1) of the pulse waveform displayed on the display means 49.

  As shown in FIG. 10, the wireless communication means 55 can be switched between valid and invalid by the wireless LAN on button 185a and the wireless LAN off button 185b. The setting screen of the wireless communication means 55 (not shown) can be called by the wireless LAN setting button 187.

Further, when the return button 191 is pressed, the changed contents are discarded, and the control device 15 ₁ to 15 _n is not set, and the screen shifts to a normal operation display screen described later. In addition, by pressing the enter button 191, the control devices 15 ₁ to 15 _n are set with the changed contents, and the screen shifts to a normal operation display screen described later.

Further, the control devices 15 ₁ to 15 _n display a normal operation display screen 201 as shown in FIG. 11 during operation. The normal operation display screen 201 is provided with a respiratory waveform display unit 203 and a pulse waveform display unit 205. The normal operation display screen 201 is provided with an operation mode display unit 207 and a control device number display unit 209. Further, the normal operation display screen 201 is provided with a setting button 211, and when this setting button 211 is pressed, the screen shifts to the setting screen described above. The normal operation display screen 201 is provided with a history button 213, and when the history button 211 is pressed, a transition to a history display screen (not shown) is made.
In the “watching mode”, “watching” of the operation mode display unit 207 is turned on, in the “leaving mode”, “leaving” of the operation mode display unit 207 is turned on, and in the “watching / leaving mode”, the operation mode is set. Both “watch” and “get out of bed” on the display unit 207 are lit.

Next, the operation of the signal processing means 43 of the control devices 15 ₁ to 15 _n will be described. The signal processing means 43 performs arithmetic processing such as filter processing on the mixed signals from the biological information collecting sheets 13 _{1 to} 13 _n and extracts a respiration only signal and a pulse only signal as shown in FIG.
FIG. 12A is a graph showing time variation of sensor output (mV, mixed signal) with time (second) on the horizontal axis and sensor output (mV, mixed signal) on the vertical axis. 12 (b) is a diagram showing the time change of the processing signal (mV, respiratory processing waveform) with time (second) on the horizontal axis and processing signal (mV, respiratory processing waveform) on the vertical axis. (C) is the figure which showed the time change of the processing signal (mV, pulse processing waveform) by taking time (second) on a horizontal axis and taking a processing signal (mV, pulse processing waveform) on a vertical axis | shaft.

Further, as shown in FIG. 13, according to the biological information collection sheets 13 _{1 to} 13 _n and the signal processing means 43, any of body pressure dispersion mattress (made of urethane), polyester mattress, and air mattress is used. Respiration and pulse are detected.
In FIG. 13A, the horizontal axis represents time (seconds), the vertical axis represents sensor output (mV, mixed signal), and sensor output (mV, mixed signal) time when using a body pressure dispersion mattress. FIG. 13B is a graph showing the change, and the horizontal axis represents time (seconds), the vertical axis represents respiration (mV), and the time change of respiration (mV) when using a body pressure dispersion mattress is shown. FIG. 13 (c) shows time (seconds) on the horizontal axis, pulse (mV) on the vertical axis, and changes in pulse (mV) over time when using a body pressure dispersion mattress. FIG.
FIG. 13D shows time (seconds) on the horizontal axis, sensor output (mV, mixed signal) on the vertical axis, and time change of sensor output (mV, mixed signal) when a polyester mattress is used. FIG. 13 (e) shows time (seconds) on the horizontal axis and respiration (mV) on the vertical axis, and the time change of respiration (mV) when using a polyester mattress is shown. FIG. 13 (f) is a diagram showing time variation of the pulse (mV) when the horizontal axis represents time (seconds), the vertical axis represents pulse (mV), and a polyester mattress is used. .
FIG. 13H shows time (seconds) on the horizontal axis, sensor output (mV, mixed signal) on the vertical axis, and time change of sensor output (mV, mixed signal) when an air mattress is used. FIG. 13 (i) is a diagram showing the time change of respiration (mV) when an air mattress is used with time (seconds) on the horizontal axis and respiration (mV) on the vertical axis. FIG. 13 (j) is a diagram showing the time change of the pulse (mV) when the air mattress is used, with the time (second) on the horizontal axis and the pulse (mV) on the vertical axis.

Further, according to the biological information collection sheets 13 _{1 to} 13 _n and the signal processing means 43, as shown in FIGS. 14 (b) and 14 (c), the same accurate as the breathing band which is another biometric device. Respiratory rate is obtained. Moreover, as shown in FIG.14 (d) and FIG.14 (e), the same exact pulse rate as the photoelectric pulse wave meter which is another biometric apparatus is obtained.
Further, as shown in FIG. 14 (f), the correlation coefficient between the biological information collection sheets 13 _{1 to} 13 _n and the respiratory processing signal by the signal processing means 43 and the signal from the respiratory band which is another biological measuring device is 0.86, and the correlation between the respiration processing signal and the signal from the respiration band, which is another biometric device, is high. The correlation coefficient between the pulse processing signal from the biological information collection sheet 13 and the signal processing means 43 and the signal from the photoelectric pulse wave meter which is another biological measuring device is 0.83. Correlation with a signal from a photoelectric pulse wave meter which is a living body measuring instrument is also high.
FIG. 14A is a graph showing time (seconds) on the horizontal axis and sensor output (mV, mixed signal) on the vertical axis, and shows the time change of the sensor output, and FIG. Fig. 14 is a diagram showing time (second) on the axis, breathing (mV) on the vertical axis, and time change of respiration (mV). Fig. 14 (c) shows the time (second) on the horizontal axis and the vertical axis. It is the figure which took the output (mV) of the respiratory band and showed the time change of the sensor output of the respiratory band. FIG. 14D is a graph showing time (seconds) on the horizontal axis and pulse (mV) on the vertical axis, and the time change of the pulse (mV) is shown. FIG. 14E is the horizontal axis. Fig. 14 (f) is a diagram showing the time change of the sensor output by taking the time (second) and taking the sensor output (mV) of the photoelectric pulse wave meter on the vertical axis. It is a table | surface which shows the correlation coefficient with a correlation coefficient, a pulse processing signal, and the signal by a photoelectric pulse wave meter.

Further, according to the bed leaving sensors 11 _{1 to} 11 _n , as shown in FIG. 15, even when the users 7 _{1 to} 7 _n are in the supine position, the prone position, the left lateral position, or the right lateral position, The state of getting out of bed / bed is reliably detected.
FIG. 15A shows the time change in the output of the bed sensor when the users 7 _{1 to} 7 _n are in the supine position, with the horizontal axis representing time (seconds) and the vertical axis representing the output of the bed sensor. It is a figure. FIG. 15B shows time (seconds) on the horizontal axis, the output of the bed sensor on the vertical axis, and the time change of the output of the bed sensor when the users 7 _{1 to} 7 _n are in the prone position. FIG.
FIG. 15C shows time (seconds) on the horizontal axis, the output of the bed sensor on the vertical axis, and the time change of the output of the bed sensor when the users 7 _{1 to} 7 _n are on the left side. FIG. FIG. 15D shows time (seconds) on the horizontal axis, the output of the bed sensor on the vertical axis, and the time change of the output of the bed sensor when the users 7 _{1 to} 7 _n are in the right-side position. FIG.

Further, as shown in FIG. 16, when any of the body pressure dispersion mattress (made of urethane), the polyester mattress, and the air mattress is used, the floor sensors 11 _{1 to} 11 _n are connected to the users 7 _{1 to} 7 _n . Regardless of the position of the umbilicus, the lower back, the buttocks, and the crotch, the users 7 _{1 to} 7 _n can be placed in the supine position, the left side position, or the right side position. Regardless of the posture, the state of getting out of bed / bed is surely detected.

Next, the operation of the abnormality determination means 45 of the control devices 15 ₁ to 15 _n will be described. This abnormality determination means 45 is used to detect abnormalities in getting out of bed / bed of the users 7 _{1 to} 7 _n (out of bed, continuous out of bed, continuous out of bed), cardiopulmonary arrest, abnormal body movement, abnormal respiratory rate, pulse rate, etc. Determine the anomaly. Also, apnea is used to increase the accuracy of calculating the respiration rate.

Next, the individual setting screen 215 of the host computer 19 will be described with reference to FIG. The individual setting screen 215 the operation setting of the control device 15 ₁ is performed from the host computer 19 side. That is, setting is performed by operating the input means 71 while viewing the individual setting screen 213 shown in FIG.
The other control devices 15 ₂ to 15 _n are similarly set.

Above individual setting screen 215, there are apparatus number setting field 217, the control apparatus 15 ₁ of device number by entering a number in the device number setting field 217 is set.
Above individual setting screen 215, there is room number setting field 219, number of rooms to be installed in the control device 15 ₁ by entering a number in this room number setting field 219 is set.
Above individual setting screen 215, there is a user name setting column 221, the name of the user ₇₁ is set by inputting a name in the user name setting field 221.

Above individual setting screen 215 has a function set pulldown menu 225, this function setting pulldown menu 225, the operation mode of the control device 15 ₁ is set.
The individual setting screen 215 includes an operation start time setting field 226 and an operation end time setting field 227. Operation start time of the control device 15 ₁ by the operation start time setting section 226 is set, the operation end time of the control device 15 ₁ by the operation end time setting section 227 is set.
The individual setting screen 215 has an all-day operation setting button 229. When the all-day operation setting button 229 is pressed, 0:00:00 is set in the operation start time setting field 226 and the operation end time setting is performed. In the field 227, 23:59 is set.

In addition, the normal respiratory rate setting field 231 sets a range of respiratory rates that are regarded as normal breathing (for example, 8 to 28 times). In addition, the continuous breathing time setting column 233 sets a continuous time (for example, 120 seconds) that breathing is considered abnormal.
Moreover, the range (for example, 40-120 times) of the pulse rate considered as a normal pulse is set by the normal pulse rate setting column 235. Further, a continuous time (for example, 120 seconds) in which the pulse is considered abnormal is set by the pulse abnormal continuous time setting field 237.
In addition, the bed leaving time setting field 238 can set a bed leaving time (for example, 2 seconds) to be used when discriminating from a bed to be described later. Moreover, the continuous bed leaving time (for example, 1440 minutes) which performs alerting | reporting can be set with the continuous bed leaving time setting column 239. FIG. Moreover, the continuous bedtime (for example, 1440 minutes) which performs alerting | reporting can be set with the continuous bedtime setting column 241. FIG. By setting the continuous bedtime for performing this notification to “0”, the notification is not performed.

Further, there is radio communication on button 243 and the wireless communication off button 245, the operation to turn on the wireless communication with the control device 15 ₁ by the wireless communication on button 243 is performed, the control device by the wireless communication off button 245 15 An operation for turning off the wireless communication with ₁ is performed.

Further, there are an alert mail sending valid button 247 and an alert mail sending invalid button 249, and an operation for enabling the setting of notification by e-mail is performed by the alert mail sending valid button 247, and the alert mail sending invalid button 249 is used. An operation for invalidating the setting for notification by e-mail is performed.
In the destination mail address setting field 251, a plurality of email addresses (five in the case of the first embodiment) are set as alert mail destinations.
When the alert mail test transmission button 253 is operated, a test mail is transmitted to the e-mail address set in the destination mail address setting field 251.

Moreover, by operating the setting completion button 255, is transmitted and set contents set in the control device 15 _1, then proceeds to the normal operation screen 261 to be described later. Further, when the cancel button 257 is operated, the set contents are discarded, and the process proceeds to a normal operation screen 261 described later.

Next, the normal operation screen 261 of the host computer 19 will be described. As shown in FIG. 18A, the normal operation screen 261 displays the status for all the users 7 _{1 to} 7 _n being monitored. If the users 7 _{1 to} 7 _n are abnormal, the content of the abnormality (“breathing abnormality” of the user in the room 101) is displayed as shown in FIG.
As described above, in the case of the present embodiment, since n = 5, the display of Nos. 101 to 105 is also performed in FIGS.

On the normal operation screen 261, user state summary display sections 263 _{1 to} 263 ₅ are displayed. Above the user status summary display unit 263 _1, user _{7 1} of room number 265, pulse number 271 of the respiratory rate per 269,1 minutes per 267,1 minutes name, leaves the floor / the bed of state 273 and,, state 275 of the wireless communication with the control device 15 ₁ is displayed.

Further, the user status summary display unit 263 _1, detail screen display button 277 and a setting screen display button 279 is provided. When the detailed screen display button 277 is operated, a detailed screen 291 described later is displayed. When the setting screen display button 279 is operated, the individual setting screen 215 is displayed.
User status summary display unit ₂₆₃ 2-263 ₅ also has the same structure as the user status summary display unit 263 ₁ is adapted to perform display and manipulate overview of user ₇ 2-7 ₅ .

Further, in the normal operation screen 261, there are history display portion 281, for user 7 _{1-7 5,} the history, such as abnormal or lifting / the bed of state is displayed.
This history is also stored in a storage device (not shown) of the host computer 19.
Further, the normal operation screen 261 has an end button 283, and the operation of the host computer 19 is ended by operating the end button 283.
The normal operation screen 261 has an overall setting button 285. By operating the overall setting button 285, an overall setting screen (not shown) is displayed, and the history storage directory and mail used for sending alert mail are displayed. Account and history display on / off settings are made.

Further, in the normal operation screen 261, there are report output button 287, the operation of the report output button 287, displays the report output screen (not shown), the host computer detailed data about the user 7 _{2-7 5} The data can be output to 19 storage devices (not shown).

Next, the detailed display screen 291 of the host computer 19 will be described. In this detailed display screen, as shown in FIG. 19, changes in body movement, breathing, pulse, activity amount, bed leaving / bed-in status of individual users 7 _{1 to} 7 _n are displayed in time series. Is done.

Next, various cases will be described with reference to flowcharts.
First, the case _where the operation mode of the control devices 15 ₁ to 15 _n is “the bed leaving / watching mode” will be described. In this "getting out / watching mode", abnormalities of getting out / being in bed (leaving, continuous getting out of bed, abnormal staying in bed) are determined, as well as cardiopulmonary arrest abnormalities, body movement abnormalities, respiratory abnormalities, and pulse abnormalities. Is.
First, with reference to FIG. 20, a general “respiration / pulse and bed / bed measurement” in the “bed-off / watching mode” will be described.
When the bed leaving / bed-out determination process is started, first, in step S1, “ON / OFF” of the bed leaving sensors 11 _{1 to} 11 _n is determined. If it is determined in step S1 that the bed separation sensors 11 _{1 to} 11 _n are “off”, the process proceeds to step S2. In step S2, other notifications such as cardiopulmonary stop abnormality notification, body movement abnormality notification, respiratory abnormality notification, and pulse abnormality notification are suppressed, and the process proceeds to the next step S3.

In step S3, the measurement of the bed leaving time is started, and the process proceeds to the next step S4. In step S4, “ON / OFF” of the bed sensors 11 _{1 to} 11 _n is determined. If it is determined in step S4 that the floor sensors 11 _{1 to} 11 _n are “off”, the process proceeds to step S5. In step S5, it is determined whether or not a predetermined bed leaving time (for example, 2 seconds) has elapsed.
Note that the time of 2 seconds is a false detection prevention time, thereby preventing false detection of getting out of bed due to, for example, turning over. In this case, the time is not limited to 2 seconds, and may be 3 seconds or other time.
If it is determined in step S5 that a predetermined bed leaving time (for example, 2 seconds) has elapsed, the process proceeds to step S6. In this step S6, getting out notification is performed, and then the process is terminated. Then, after the notification is released, the process starts again from step S1.

In step S5, when it is determined that a predetermined bed leaving time (for example, 2 seconds) has not elapsed, the process proceeds to step S4 again, and the same processing is repeated.
On the other hand, if it is determined in step S1 that the floor sensors 11 _{1 to} 11 _n are “ON”, the process proceeds to step S7. In step S7, the suppression of other notifications is released. Similarly, when it is determined in step S4 that the bed leaving sensors 11 _{1 to} 11 _n are “ON”, the process proceeds to step S7. After step S7, it is determined that the user is in the floor, and the processing from step S1 is started again after the bed / bed determination process is completed.

Next, the occupancy movement determination process will be described. This staying motion determination process includes a cardiopulmonary stop determination process, a body movement determination process, a respiration measurement process, and a pulse measurement process. In the “bed-off / watching mode”, the above-mentioned bed / bed determination process and these processes are performed in parallel.
First, the cardiopulmonary stop determination process will be described with reference to FIG.
First, in step S10, measurement of a discrimination time (for example, 15 seconds) is started. Next, the process proceeds to step S11, and the cardiopulmonary counter is reset. Next, it transfers to step S12 and measurement of measurement time (for example, 1 second) is started.

Next, the process proceeds to step S13, and the latest sample data is extracted from the mixed signal. Next, the process proceeds to step S14, where it is determined whether or not the sample data is equal to or greater than a predetermined cardiopulmonary arrest threshold (for example, + 2.6V). If it is determined in step S14 that the sample data is equal to or greater than a predetermined cardiopulmonary arrest threshold (for example, +2.6 V), the process proceeds to step S15, and 1 is added to the cardiopulmonary counter. Next, the process proceeds to step S16.
If it is determined in step S14 that the sample data is not equal to or greater than a predetermined cardiopulmonary arrest threshold (for example, +2.6 V), the process proceeds to step S16. In step S16, it is determined whether or not a predetermined measurement time (for example, 1 second) has elapsed. If it is determined in step S16 that a predetermined measurement time (for example, 1 second) has not elapsed, the process returns to step S13 again, and the same processing is repeated.

  If it is determined in step S16 that a predetermined measurement time (for example, 1 second) has elapsed, the process proceeds to step S17. In this step S17, it is determined whether or not the cardiopulmonary counter is a predetermined number of times (for example, 6 times) or more. If the cardiopulmonary counter is greater than or equal to a predetermined number (for example, 6 times), it is determined that the cardiopulmonary counter is normal, the cardiopulmonary stop determination process is terminated, and then the process of step S10 is performed again. Will start from.

  If it is determined in step S17 that the cardiopulmonary counter is not greater than or equal to a predetermined number (for example, 6 times), the process proceeds to step S18. In step S18, it is determined whether or not a predetermined determination time (for example, 15 seconds) has elapsed. If it is determined in step S18 that a predetermined determination time (for example, 15 seconds) has not elapsed, the process returns to step S11 again and the same processing is repeated. If it is determined in step S18 that a predetermined determination time (for example, 15 seconds) has elapsed, the process proceeds to step S19. That is, when the state of 6 times or less per second occurs continuously for 15 seconds, the process proceeds to step S19. In step S19, the cardiopulmonary stop abnormality is notified, and then the process ends. After the notification is canceled, the process starts again from step S1.

Next, the body movement determination process will be described with reference to FIG.
First, in step S20, measurement of a discrimination time (for example, 32 seconds) is started. Next, the process proceeds to step S21 to reset the body movement counter. Next, the process proceeds to step S22, and measurement of a measurement time (for example, 4 seconds) is started.

Next, the process proceeds to step S23, and the latest sample data is extracted from the mixed signal. Next, the process proceeds to step S24, where it is determined whether or not the sample data is equal to or greater than a predetermined body movement determination threshold (for example, + 4.9V). If it is determined in step S24 that the sample data is equal to or greater than a predetermined body movement determination threshold (for example, +4.9 V), the process proceeds to step S25, and 1 is added to the body movement counter. Next, the process proceeds to step S26. If it is determined in step S24 that the sample data is not equal to or greater than a predetermined body movement determination threshold (for example, +4.9 V), the process proceeds to step S26.
In step S26, it is determined whether or not a predetermined measurement time (for example, 4 seconds) has elapsed. If it is determined in step S26 that a predetermined measurement time (for example, 4 seconds) has not elapsed, the process returns to step S23 again and the same processing is repeated.

  If it is determined in step S26 that a predetermined measurement time (for example, 4 seconds) has elapsed, the process proceeds to step S27. In step S27, it is determined whether or not the body movement counter is not less than a predetermined number (for example, 200 times). If the body movement counter is greater than or equal to a predetermined number (for example, 200 times), the process proceeds to step S28. In step S28, “with body movement” is displayed on the display means 49 at the respiratory rate and pulse rate, and the process proceeds to step S29.

In step S29, it is determined whether or not a predetermined determination time (for example, 32 seconds) has elapsed. If it is determined in step S29 that a predetermined determination time (for example, 32 seconds) has elapsed, the process proceeds to step S30. In step S30, body motion abnormality notification is performed, and the process ends. Then, after canceling | reporting, it starts from the process of step S1 again. In other words, when the body motion counter is equal to or greater than a predetermined number of times (for example, 200 times), body motion abnormality notification is performed when a predetermined determination time (for example, 32 seconds) continues.
If it is determined in step S29 that a predetermined determination time (for example, 32 seconds) has not elapsed, the process returns to step S21 again and the same processing is repeated.

  If it is determined in step S27 that the body movement counter is not greater than or equal to a predetermined number of times (for example, 200 times), the process proceeds to step S31. In step S31, the respiration / pulse rate is displayed on the display means 49, and after the body movement determination process is completed, the process is started again from step S20.

Next, respiration measurement processing will be described with reference to FIG.
First, in step S40, abnormal breathing time (for example, 120 seconds) is reset, and the process proceeds to step S41. In step S41, the mixed signal for a predetermined sampling time (for example, 10 seconds) is sampled to obtain sampling data. Next, the process proceeds to step S42, where the sampling data is subjected to arithmetic processing such as filter processing to extract a respiratory signal. Next, the process proceeds to step S43, and the respiration rate per minute is calculated from the respiration signal and displayed.

  Next, the process proceeds to step S44, and it is determined whether or not the respiration rate is within a predetermined range (for example, 8 to 28 times / min). If it is determined in step S44 that the respiration rate is not within a predetermined range (for example, 8 to 28 times / min), the process proceeds to step S45, and abnormal breathing time is added (added in units of 10 seconds). To go.). Next, the process proceeds to step S46, and it is determined whether or not a predetermined respiratory abnormal time (for example, 120 seconds) has elapsed. If it is determined in step S46 that a predetermined abnormal breathing time (for example, 120 seconds) has not elapsed, the process proceeds to step S41 again. If it is determined in step S46 that a predetermined abnormal breathing time (for example, 120 seconds) has elapsed, the process proceeds to step S47. In step S47, respiratory abnormality notification is performed, and then the process ends.

  If it is determined in step S44 that the respiration rate is within a predetermined range (for example, 8 to 28 times / min), the flow returns to step S40 to start the respiration measurement process again.

Next, the pulse measurement process will be described with reference to FIG.
First, in step S48, the abnormal pulse time (for example, 120 seconds) is reset, and the process proceeds to step S49. In step S49, sampling data is obtained by sampling a mixed signal for a predetermined sampling time (for example, 10 seconds).
Next, the process proceeds to step S50, where the sampling data is subjected to arithmetic processing such as filter processing to extract a pulse signal. Next, the process proceeds to step S51, where the pulse rate for one minute is calculated from the pulse signal and displayed.

Next, the process proceeds to step S52, and it is determined whether or not the pulse rate is within a predetermined range (for example, 40 to 120 times / minute). When it is determined in step S52 that the pulse rate is not within a predetermined range (for example, 40 to 120 times / minute), the process proceeds to step S53, and the abnormal pulse time (for example, 10 seconds) is added. Next, the process proceeds to step S54, and it is determined whether or not a predetermined abnormal pulse time (for example, 120 seconds) has elapsed. When it is determined in step S54 that a predetermined abnormal pulse time (for example, 120 seconds) has not elapsed, the process returns to step S49 again and the same processing is repeated.
If it is determined in step S54 that a predetermined abnormal pulse time (for example, 120 seconds) has elapsed, the process proceeds to step S55. In step S55, a pulse abnormality notification is performed, and then the process ends.

When it is determined in step S52 that the pulse rate is within a predetermined range (for example, 40 to 120 times / minute), the process returns to step S48 and the pulse measurement process is started again.
In addition, in the above process, getting out of bed is given the highest priority by suppressing other notifications in step S2 of FIG. Further, regarding the cardiopulmonary stop abnormality notification shown in FIG. 21, the body movement abnormality notification shown in FIG. 22, the respiratory abnormality notification shown in FIG. 23, and the pulse abnormality notification shown in FIG. By setting the determination time of motion abnormality notification to 32 seconds and the determination time of respiratory abnormality notification and pulse abnormality notification to 120 seconds, cardiopulmonary stop abnormality notification, body motion abnormality notification, respiratory abnormality notification, and pulse abnormality notification in this order. Notification priorities are assigned.

Next, with reference to FIG. 25, the same “leaving / watching mode”, “operation during continuous leaving time in breathing / pulse and bed / at-bed measurement” will be described.
This process does not need to be notified immediately after getting out of the floor, but is applied when it is desired to notify an abnormality that has left the floor for a long time.
For example, when a user 7 _{1 to} 7 _n who is always on the bed 3 _{1 to} 3 _n leaves the bed to go to a toilet (simple toilet) next to the bed 7 _{1 to} 7 _n , for some reason. This is applied when it is desired to detect and notify when the bed 3 _{1 to} 3 _n cannot be returned. In this case, the continuous bed leaving time is, for example, 30 minutes.
As another example, when users 7 _{1 to} 7 _n such as dementia fall down somewhere in the room and cannot move and cannot return to beds 3 _{1 to} 3 _n , they want to detect and notify Applies to In this case, the continuous bed leaving time is, for example, 24 hours.

First, in step S61, “ON / OFF” of the bed sensors 11 _{1 to} 11 _n is determined. If it is determined in step S61 that the bed separation sensors 11 _{1 to} 11 _n are “off”, the process proceeds to step S62. In step S62, other notifications such as cardiopulmonary stop abnormality notification, body movement abnormality notification, respiratory abnormality notification, and pulse abnormality notification are suppressed, and the process proceeds to the next step S63.

In step S63, the measurement of the bed leaving time is started, and the process proceeds to the next step S64. In step S64, “ON / OFF” of the bed sensors 11 _{1 to} 11 _n is determined. If it is determined in step S64 that the bed separation sensors 11 _{1 to} 11 _n are “off”, the process proceeds to step S65. In step S65, it is determined whether or not a predetermined bed leaving time (for example, 2 seconds) has elapsed. If it is determined in step S65 that the predetermined bed leaving time (2 seconds) has elapsed, the process proceeds to step S67. If it is determined in step S65 that the predetermined bed leaving time (2 seconds) has not elapsed, the process returns to step S64 and the same processing is repeated.

In step S67, it is determined whether or not a predetermined continuous bed leaving time (for example, 1440 minutes) has elapsed. If it is determined in step S67 that a predetermined continuous bed leaving time (for example, 1440 minutes) has elapsed, the process proceeds to step S68. In said step S68, a continuous bed leaving notification is performed and a process is complete | finished.
If it is determined in step S67 that a predetermined continuous bed leaving time (for example, 1440 minutes) has not elapsed, the process returns to step S64 again and the same processing is repeated.

If it is determined in step S61 that the bed leaving sensors 11 _{1 to} 11 _n are “ON”, the process proceeds to step S69, and after the suppression of other notifications is released, the process is started again from step S61. The same applies to the case where the floor sensors 11 _{1 to} 11 _n are determined to be “ON” in step S64.
Also in this case, the cardiopulmonary stop determination, body movement determination, respiration measurement, and pulse measurement shown in FIGS. 21 to 24 are similarly performed.

Next, with reference to FIG. 26, the same “leaving / watching mode”, “operation during continuous bedtime setting in breathing / pulse and bed / bed measurement” will be described.
In this case, for example, it is used for home care or the like to measure the state of breathing or pulse while staying in the bed, and to notify the user of an abnormality that has been in bed for a long time.
For example, in the case of a person to go to bed ₃ 1 _{~3 n} from time to time of the bed ₃ 1 _{~3 n} in the user ₇ 1 _{~7 n} who is next to the toilet (toilet), detect the anomalies that may or may not go into a long period of time toilet・ If you want to be notified (continuous bedtime 12 hours).
In addition, there may be a case where it is desired that users 7 _{1 to} 7 _n who are not bedridden want to detect / notify an anomaly that they are sleeping in the beds 3 _{1 to} 3 _n throughout the day (continuous bedtime 24 hours).
First, in step S71, the measurement of bedtime is started. Next, the process proceeds to step S72, and “ON / OFF” of the bed sensors 11 _{1 to} 11 _n is determined. If it is determined in step S72 that the bed leaving sensors 11 _{1 to} 11 _n are “ON”, the process proceeds to step S73.

In step S73, it is determined whether or not a predetermined continuous bedtime (for example, 1440 minutes) has elapsed. If it is determined in step S73 that a predetermined continuous bedtime (for example, 1440 minutes) has not elapsed, the process returns to step S72 again and the same processing is repeated. If it is determined in step S73 that a predetermined continuous bedtime (for example, 1440 minutes) has elapsed, the process proceeds to step S74. In step S74, continuous bed presence notification is performed, and then the process ends.
It should be noted that the continuous bed notification is not performed by setting the predetermined continuous bed time to “0”.

In step S72, when it is determined that the bed leaving sensors 11 _{1 to} 11 _n are “off”, the process proceeds to step S75. In step S75, the measurement of the bedtime is stopped, and the process proceeds to step S76. In step S76, other notifications such as cardiopulmonary stop abnormality notification, body movement abnormality notification, respiratory abnormality notification, and pulse abnormality notification are suppressed, and the process proceeds to the next step S77.

In step S77, the measurement of the bed leaving time is started, and the process proceeds to step S78. In step S78, “ON / OFF” of the bed sensors 11 _{1 to} 11 _n is determined. If it is determined in step S78 that the floor sensors 11 _{1 to} 11 _n are “off”, the process proceeds to step S79. In step S79, it is determined whether or not a predetermined bed leaving time (for example, 2 seconds) has elapsed. If it is determined in step S79 that a predetermined bed leaving time (for example, 2 seconds) has not elapsed, the process returns to step S78 again and the same processing is repeated.

If it is determined in step S78 that the floor sensors 11 _{1 to} 11 _n are “ON”, the process proceeds to step S80. In step S80, the measurement of the occupancy time is resumed, the process proceeds to step S81, the suppression of other notifications is canceled, and the process proceeds to step S73. If it is determined in step S79 that a predetermined bed leaving time (for example, 2 seconds) has elapsed, the process proceeds to step S82. In step S82, “ON / OFF” of the bed leaving notification setting is determined. In step S82, when it is determined that the bed leaving notification setting is “ON”, the process proceeds to step S83, and the bed leaving notification is performed. Then, the process ends.
If it is determined in step S82 that the getting-off notification setting is “off”, the processing from step S71 is started when the getting-off sensors 11 _{1 to} 11 _n are turned “on” again.

Next, with reference to FIG. 27, the same “leaving / watching mode”, “operation at the time of continuous bed leaving and continuous bed time setting in breathing / pulse and bed leaving / bed measurement” will be described.
This is a measure for breathing and pulse when you are in bed for home care, etc., and it is not necessary to notify you immediately when you leave the bed, This is used when you want to detect / notify anomalies.
For example, bed ₃ at 1-3 _n are in the user ₇ 1 _{~7 n,} sometimes bed ₃ 1 to 3 if _n of people to go to the next to the toilet (toilet) of, bed ₃ 1 to 3 in for any reason Applicable when it is desired to detect / notify an abnormality that prevents the user from returning to _n , an incident that prevents the user from going to the bathroom for a long time, etc. (continuous bed leaving time 30 minutes, continuous bedtime 12 hours).
In addition, it is a case of a user 7 _{1 to} 7 _n who sleeps on the bed 3 _{1 to} 3 _n every day but sometimes stays outside the bed 3 _{1 to} 3 _n. accident that does not come back to bed 3 ₁ ~3 _n have, accident that during sleeping in bed 3 ₁ ~3 _{n 1} day, used in cases such as when you want to detect and notify the (continuous lifting time of 24 hours, continuous standing time of 24 hours ).
First, in step S91, the measurement of bedtime is started. Next, the process proceeds to step S92, and “ON / OFF” of the bed sensors 11 _{1 to} 11 _n is determined. If it is determined in step S92 that the bed separation sensors 11 _{1 to} 11 _n are “ON”, the process proceeds to step S93.

  In step S93, it is determined whether or not a predetermined continuous bedtime (for example, 1440 minutes) has elapsed. If it is determined in step S93 that a predetermined continuous bedtime (for example, 1440 minutes) has not elapsed, the process returns to step S92.

If it is determined in step S93 that the predetermined continuous bedtime (1440 minutes) has elapsed, the process proceeds to step S94. In step S94, continuous bed notification is performed, and then the process ends.
It should be noted that the continuous bed notification is not performed by setting the predetermined continuous bed time to “0”.

If it is determined in step S92 that the bed separation sensors 11 _{1 to} 11 _n are “off”, the process proceeds to step S95. In step S95, the measurement of the bedtime is stopped, and the process proceeds to step S96. In step S96, other notifications such as cardiopulmonary stop abnormality notification, body movement abnormality notification, respiratory abnormality notification, and pulse abnormality notification are suppressed, and the process proceeds to the next step S97. In step S97, the measurement of the bed leaving time is started, and the process proceeds to step S98. In step S98, “ON / OFF” of the bed sensors 11 _{1 to} 11 _n is determined. If it is determined in step S98 that the floor sensors 11 _{1 to} 11 _n are “off”, the process proceeds to step S99. In step S99, it is determined whether or not a predetermined bed leaving time (for example, 2 seconds) has elapsed. If it is determined in step S99 that a predetermined bed leaving time (for example, 2 seconds) has not elapsed, the process returns to step S98 and the same processing is repeated.

If it is determined in step S98 that the bed separation sensors 11 _{1 to} 11 _n are “ON”, the process proceeds to step S100. In this step S100, the occupancy time measurement is resumed, and the process proceeds to step S101. In step S101, the suppression of other notifications is canceled, and the process proceeds to step S93 already described. If it is determined in step S99 that a predetermined bed leaving time (for example, 2 seconds) has elapsed, the process proceeds to step S102. In step S102, it is determined whether or not a predetermined continuous bed leaving time (for example, 1440 minutes) has elapsed. If it is determined in step S102 that a predetermined continuous bed leaving time (for example, 1440 minutes) has elapsed, the process proceeds to step S103. In said step S103, a continuous bed leaving notification is performed, and then the process is terminated. If it is determined in step S102 that a predetermined continuous bed leaving time (for example, 1440 minutes) has not elapsed, the process returns to step S99 again, and the same processing is repeated thereafter.

Next, the operation mode of the control devices 15 ₁ to 15 _n is “watch mode”, and “operation in breathing / pulse measurement” will be described.
In this case, for example, the users 7 _{1 to} 7 _n hardly move on the beds 3 _{1 to} 3 _n and, of course, do not leave the bed, but it is necessary to measure the state of breathing and pulse. Applicable when present.
Specifically, only the processing shown in FIGS. 21 to 24 is performed without performing the processing of FIG. 20 already described.

Next, the operation mode of the control devices 15 ₁ to 15 _n is “the bed leaving mode”, and “the operation in bed leaving / bed measurement” will be described.
For example, although it is not necessary to measure respiration or pulse, it is used when it is desired to notify immediately when the users 7 _{1 to} 7 _n get out of bed.
Specifically, only the process shown in FIG. 20 already described is performed.

Next, the operation mode of the control devices 15 ₁ to 15 _n is “the bed leaving mode”, and “the operation at the time of continuous bed leaving setting in bed leaving / floating measurement” will be described.
For example, in home care, etc., there is no need of measurement of breathing and pulse, also, there is no need for the notification of mobilization, the user 7 ₁ ~7 _n is applied when you want to make a notification Once off the floor and a long period of time.
Specifically, only the process of FIG. 25 already described is performed.

Next, the operation mode of the control devices 15 ₁ to 15 _n is “the bed leaving mode”, and “the operation at the time of continuous bed time setting in bed measurement / bed measurement” will be described.
In this case, it is not necessary to measure respiration or pulse for home care or the like, but it is used when it is desired to notify the user of an abnormality that has been in bed for a long time.
For example, in the user ₇ 1 _{~7 n} you are in bed ₃ 1 _{~3 n,} sometimes if you go to the next to the toilet of the bed ₃ 1 _{~3 n,} a long period of time accident not to go to the toilet, such as in the case of detection and notification of Used (continuous bed time 12 hours).
Also used when it is desired to broadcast accident the user ₇ 1 to _7-n are not bedridden sleeping in ₃ 1 to 3 _n day bed, etc. (continuous the bed time 24 hours).
Specifically, only the processing shown in FIG. 26 is performed.

Next, the operation mode of the control devices 15 ₁ to 15 _n is “the bed leaving mode”, and “the operation at the time of setting the continuous bed leaving time and the continuous bed staying time in bed leaving / floating measurement” will be described.
In this case, it is not necessary to measure breathing and pulse for home care, etc., and it is not necessary to notify immediately after getting out of bed, It is used when you want to detect / notify an anomaly that you are in bed.
For example, when the user 7 _{1 to} 7 _n always stays in the bed 3 _{1 to} 3 _n and sometimes goes to a toilet (simple toilet) such as the side of the bed 3 _{1 to} 3 _n , the bed 3 ₁ to 3 for some reason. _It is used when it is desired to detect / notify an abnormality such as an abnormality that does not return to _n or an abnormality that does not go to the toilet for a long time (continuous bed leaving time is 30 minutes, continuous bedtime is 12 hours).
In addition, if the user 7 _{1 to} 7 _n is always sleeping on the bed 3 _{1 to} 3 _n every day, and there is a time when the user is outside the bed 3 _{1 to} 3 _n , the user falls over somewhere in the room and cannot move. or, anomalies that are not returned to the bed 3 ₁ to 3 _n, accident sleeping in bed all day 3 ₁ to 3 _n, (continuous lifting 24 hours used when detecting and informing the accident etc., also continuous the bed 24 hours).
Specifically, only the process shown in FIG. 27 already described is performed.

Next, with reference to FIGS. 28 and 29, apnea detection / notification will be described. The signal processing means 43 of the control devices 15 ₁ to 15 _n discriminates apnea in the abnormality discriminating means 45, and if it is discriminated as apnea, the respiration rate is set to “0” regardless of the respiration rate obtained by respiration measurement. The accuracy of the respiration measurement is improved.
Hereinafter, the apnea determination process will be described in detail with reference to FIGS. 28 and 29.
First, in step S201, mixed signals for a predetermined period (for example, 10 seconds) are acquired as sampling data from the biological information collection sheets 13 _{1 to} 13 _n . This sampling data is, for example, as shown in FIG. 29A when there is respiration, and for example, as shown in FIG. 29C when there is no respiration. Next, the process proceeds to step S202, and absolute value data is obtained from the sampling data. This absolute value data is, for example, as shown in FIG. 29 (b) when there is respiration, and as shown in FIG. 29 (d), for example, when there is no respiration.

In FIG. 29A, the horizontal axis represents time (seconds), the vertical axis represents sensor output (mV, mixed signal), and the time change of sensor output (mV, mixed signal) when there is breathing is shown. FIG. 31 (b) shows time (seconds) on the horizontal axis and sensor output (mV, mixed signal) on the vertical axis, and the absolute value of the sensor output (mV, mixed signal) when there is breathing. It is the figure which showed the time change.
FIG. 31 (c) shows time (seconds) on the horizontal axis, sensor output (mV, mixed signal) on the vertical axis, and time change of sensor output (mV, mixed signal) in the case of apnea. FIG. 31 (d) shows time (seconds) on the horizontal axis, sensor output (mV, mixed signal) on the vertical axis, and absolute value of sensor output (mV, mixed signal) in the case of apnea. It is the figure which showed the time change.
The sampling data is obtained from the mixed signal, for example, every 0.01 seconds, and 1000 pieces of data can be obtained within the predetermined period (for example, 10 seconds). It is.

  Next, the process proceeds to step S203, and the maximum value of the absolute value data is obtained. Next, the process proceeds to step S204, and the measurement number counter is reset. In step S205, the data extraction position is reset from the absolute value data. Next, the process proceeds to step S206, and the count counter is reset. Next, the process proceeds to step S207, and the data of the extraction position of the absolute value data is extracted.

  Next, the process proceeds to step S208, where the data is a reference value determined based on the maximum value (for example, 0.3 times the maximum value, provided that 0.3 times the maximum value is greater than 0.5V). In this case, it is determined whether or not it is 0.5V or higher. If it is determined in step S208 that the data is greater than or equal to a reference value determined based on the maximum value (for example, 0.3 times the maximum value), the process proceeds to step S209. In step S209, 1 is added to the count counter. Next, the process proceeds to step S210, and it is determined whether or not the extraction position has reached the end of the sampling data. If it is determined in step S210 that the extraction position has not reached the end of the sampling data, the process proceeds to step S211 and after moving the data extraction position, the process returns to step S207 again and the same processing is repeated. .

  If it is determined in step S210 that the extraction position has reached the end of the sampling data, the process proceeds to step S212, and it is determined whether or not the count counter is equal to or less than a predetermined number (for example, 500 times). If it is determined in step S212 that the count counter is equal to or less than a predetermined number (for example, 500 times), the process proceeds to step S213. In step S213, 1 is added to the measurement number counter. In the next step S214, it is determined whether or not the measurement number counter is greater than a predetermined number (for example, three times). If it is determined in step S214 that the measurement number counter is greater than a predetermined number (for example, three times), the process proceeds to the next step S215. If it is determined in step S214 that the measurement number counter is not greater than a predetermined number (for example, three times), the process returns to step S205 and the same process is repeated.

  In step S215, it is determined that there is apnea, and the respiration rate is processed as 0 times regardless of the respiration rate measurement result obtained by the respiration measurement process shown in FIG. Thereafter, the process returns to step S201 again and the same processing is repeated. If it is determined in step S212 that the count counter is not less than a predetermined number (for example, 500 times), the process proceeds to step S216. In step S216, it is determined that there is respiration. In this case, the measurement result of the respiration rate obtained by the respiration measurement process shown in FIG. 23 is directly processed as the respiration rate. Thereafter, the process returns to step S201 again and the same processing is repeated.

Next, according to the present embodiment, the following effects can be obtained.
First, even if the bed leaving sensors 11 _{1 to} 11 _n are “off”, it is determined that a predetermined bed leaving time (for example, 2 seconds) for preventing erroneous detection has elapsed, and the bed leaving is notified. Then, using the mixed signal obtained from the biological information collection sheet 13 as it is, the cardiopulmonary stop determination process and the body movement determination process are performed to notify important events such as death and seizure. Therefore, important events such as death and seizures can be detected quickly and alerted with few misjudgments.

Since priority is given to notifications in the order of getting out of bed, cardiopulmonary arrest abnormality, body movement abnormality, breathing and pulse abnormality, as described above, important events such as death and seizure are quickly detected and alerted. can do.
In addition, if it is determined that there is no significant event such as death or seizure in the presence of a bed, a predetermined signal processing is performed on the mixed signal to obtain information on breathing and pulse, and based on that, respiratory abnormality, Since the pulse abnormality is discriminated and alarmed, the monitoring accuracy can be increased thereby.

Also, apnea is determined by the apnea discrimination process, and when apnea is detected, the breath discrimination process is prioritized to improve the accuracy of the respiratory abnormality determination. be able to.
In particular, the apnea discrimination process is performed in the mixed signal within a predetermined time (for example, 10 seconds) with a predetermined threshold (0.3 times the maximum value, but limited to 0.5 V if greater than 0.5 V). ) Since it is performed on the basis of the frequency of appearance of a signal having the above amplitude (for example, whether or not it is 500 times or less), the accuracy of the apnea discrimination process can be improved. Moreover, since the state which satisfy | fills such conditions is discriminate | determined as apnea, for example, when it repeats 3 times, precision can be improved more.
Moreover, since it is also notified about abnormal bed leaving and continuous bed abnormalities, the monitoring accuracy can also be improved. In particular, it is possible to effectively monitor various cases by appropriately combining normal bed leaving, continuous bed leaving abnormality, and continuous bed lying abnormality.
Further, since the notification of getting out of bed can be selected in the case of notifying the continuous bed abnormalities, it is possible to increase the number of cases that can be dealt with.

In the vicinity of the bed ₃ 1 to 3 _n, since each control device ₁₅ 1 to 15 _n are installed, using this control device ₁₅ 1 to 15 _n, the vicinity of the user ₇ 1 to _7-n Can perform desired monitoring.
Further, since the host computer 19 is installed, the control devices 15 ₁ to 15 _n can be centrally managed by the host computer 19.
The control device 15 1 _{to 15 n,} on either side of the host computer 19, various settings, since various monitoring is configurable, depending on the situation, either one at various settings, various monitoring It is possible to cope with various types of usage such as performing various settings, performing both types of monitoring, and sharing roles.

In addition, the bed leaving sensors 11 _{1 to} 11 _n are installed in parallel between the plate-like members 81a and 81b, the support members 83a to 83e made of an elastic member, and the bed-like detection switches 85 installed between the plate-like members 81a and 81b. Therefore, it is possible to detect bed separation / bed presence with high sensitivity.

Further, since the bed leaving detection switch 85 is provided with a protrusion 97 that comes into contact with the plate member 81a, the bed leaving detection switch 85 is easily pressed by the plate member 81a, thereby increasing the sensitivity. Can do.
Further, when a slight space is positively provided between the plate-like member 81a and the projection 97, it is difficult to apply the load of the mattress 55 to the bed detection switch 85 at the time of bed leaving. Durability can be improved and false detection can be prevented.

In addition, the biological information collection sheets 13 _{1 to} 13 _n are provided as a plurality of (two in the case of the first embodiment) air chambers 105 and 105 and communicated with each other through a communication path 107 as a whole. Since the bag body 101 provided in a shape and the sensor module 111 provided in the air chamber 105 with the pyroelectric infrared sensor 121 and the amplifier circuit provided on the substrate 125, the user 7 ₁ to 7 _n biological information can be detected with high sensitivity.

Further, since the pyroelectric infrared sensor 121 is used in the sensor module 111, it is caused by the flow of air in the bag body 101 caused by a slight operation such as breathing of the users 7 _{1 to} 7 _n. From the temperature change around the sensor module 111, the biological information of the users 7 _{1 to} 7 _n can be detected with high sensitivity. In particular, since the pyroelectric infrared sensor 121 has high sensitivity in a low frequency region, it can detect biological information such as respiration, heartbeat, and pulse of the users 7 _{1 to} 7 _n with high sensitivity.

In addition to the pyroelectric infrared sensor 121, an amplification circuit that amplifies the output of the pyroelectric infrared sensor 121 is mounted on the substrate 125 of the sensor module 111. Therefore, the biological information collection sheet 13 is not easily affected by noise seen when the pyroelectric infrared sensor 121 and the amplifier circuit are installed apart from each other, and the respiration, heart rate, and the like of the users 7 _{1 to} 7 _n Biological information such as a pulse can be detected with high sensitivity.
In addition, since the sensor module 111 is enclosed in the air chamber 105, it is possible to suppress the generation of noise due to disturbance, and highly sensitive biological information such as breathing, heartbeat, and pulse of the care recipient. Can be detected.

Further, in the portion of the bag body 101 that is penetrated by the cable 135, the portion of the bag body 101 that is penetrated by the cable 135 includes sheet materials 103a and 103b, reinforcing sheets 141a and 141b, and the heat shrinkable tube 139. Since the adhesive layer and the cable 135 are heat welded together, air leakage at this portion can be completely prevented.
In particular, since the adhesive layer is provided inside the heat shrinkable tube 139, air leakage through the gap between the heat shrinkable tube 139 and the cable 135 can be completely prevented.

Also, as shown in FIG. 4B, the connecting portion of the cable 135 to the substrate 125, that is, the range from the exposed conductor 129 portion of each lead wire 127 to the covered tube 133 is covered by the adhesive 143. Since it is solidified, it is possible to prevent air leakage from the bag body 101 through the gap between the coated tube 133 of the cable 135 and the coated tube 131 of the lead wire 127.
Note that the bag body 101 itself is formed by, for example, heat-welding sheet materials 103a and 103b having a two-layer structure or a three-layer structure in which layers made of polyethylene or nylon (registered trademark) are stacked and having a three-layer structure. Of course, there is no air leakage.

Thus, by preventing air leakage from the inside of the bag body 101, the function of generating an air flow in the air chamber 105 by the slight operation of the users 7 _{1 to} 7 _n as described above, The function of efficiently transmitting the air flow generated in one air chamber 105 to the other air chamber 105 is ensured, and the biometric information collection sheet 13 can be detected in a wide range with high sensitivity. Can do.
Further, by preventing air leakage from the bag body 101, the function and performance of the biological information collection sheet 13 can be maintained over a long period of time without refilling the bag body 101 with air.

  Next, a second embodiment of the present invention will be described with reference to FIG. In the case of the first embodiment, regarding the notification of getting out of bed / being present and the notifications below it, that is, notification of abnormalities in cardiopulmonary arrest, abnormal body motion, respiratory and pulse abnormalities, step S2 in FIG. Priorities are given by processing, and regarding priorities among cardiopulmonary arrest abnormalities, body movement abnormalities, respiratory and pulse abnormalities, priority is given by setting the processing time required for each determination to an appropriate value. It was. On the other hand, in the case of this second embodiment, priority is given to the priority among the cardiopulmonary abnormalities, abnormal body movements, respiratory and pulse abnormalities by the process of suppressing the lower level abnormality notification. Like to do. Hereinafter, this will be described in detail with reference to FIG.

  First, in step S221, it is determined whether or not the cardiopulmonary stop abnormality is notified. When it is determined that the notification is cardiopulmonary stop abnormality notification, the process proceeds to step S222, and processing for suppressing body motion abnormality notification and breathing and pulse abnormality notification is performed. Next, the process proceeds to step S223, and it is determined whether or not the cardiopulmonary stop abnormality notification is suppressed. Here, when it is determined that the suppression of the cardiopulmonary stop abnormality notification is not suppressed, the process proceeds to step S224, and the cardiopulmonary stop abnormality notification is performed. On the other hand, if it is determined that the cardiopulmonary stop abnormality notification is suppressed, the process is terminated as it is.

  If it is determined in step S221 that the cardiopulmonary stop abnormality is not notified, the process proceeds to step S225. In this step S225, it is determined whether or not the body movement abnormality is notified. If it is determined in step S225 that the body movement abnormality has been notified, the process proceeds to step S226. In step S226, processing for suppressing breathing and abnormal pulse notification is performed. Next, the process proceeds to step S227, where it is determined whether or not body motion abnormality notification is suppressed. If it is determined that body motion abnormality notification is not suppressed, the process proceeds to step S228. In step S228, a body movement abnormality notification is performed. If it is determined in step S227 that there is body motion abnormality notification suppression, the process ends as it is.

If it is determined in step S225 that the body movement abnormality is not notified, the process proceeds to step S229. In step S229, it is determined whether or not there is respiratory / pulse abnormality notification. If it is determined that there is a respiratory / pulse abnormality notification, the process proceeds to step S230. In step S230, it is determined whether or not the breathing / pulse abnormality notification is suppressed, and if it is determined that the breathing / pulse abnormality notification is not suppressed, the process proceeds to step S231 to execute the breathing / pulse abnormality notification. If it is determined in step S229 that there is no respiratory / pulse abnormality notification, or if it is determined in step S230 that there is suppression of respiratory / pulse abnormality notification, the process ends without performing any respiratory / pulse abnormality notification.
Note that the priority order between the notification of getting out of bed and other abnormality notifications, that is, cardiopulmonary arrest abnormality, body movement abnormality, breathing and pulse abnormality is the same as that shown in FIG.

  As described above, also in the case of the second embodiment, the same effects as in the case of the first embodiment can be obtained.

Next, a third embodiment of the present invention will be described with reference to FIG. 31 and FIG.
In the third embodiment, biological information collection sheets 301 _{1 to} 301 _n as shown in FIGS. 31 and 32 are used. The living body information collecting sheet ₃₀₁ 1 to 301 _n, the first and second embodiments of the living body information collecting sheet ₁₃ 1 to 13 _n and has substantially the same configuration, FIG. 31 of the bag body 101, FIG. 32 A plate-like pressing member 303 is installed on the middle upper side. The biological information collection sheets 301 _{1 to} 301 _n are installed with the pressing member 303 side facing the users 7 _{1 to} 7 _n , and the bag body 101 is pressed via the pressing member 303. ing.
In this case, in addition to the same operations and effects as in the first and second embodiments, vibration from the user is transmitted to the biological information collection sheets 301 _{1 to} 301 _n via the pressing member 303. Since it becomes easy, there also exists an effect | action and effect that a sensitivity can be improved.

Next, the fourth embodiment of the present invention will be described with reference to FIG. In the third embodiment, biological information collection sheets 401 _{1 to} 401 _n as shown in FIG. 33 are used. The biometric information collection sheets 401 _{1 to} 401 _n have substantially the same configuration as the biometric information collection sheets 301 _{1 to} 301 _n of the third embodiment, but instead of the press member 303, three press members 403a, The difference is that 403b and 403c are installed.
Also in this case, the same actions and effects as in the first to third embodiments are obtained.
Further, three pressing members 403a, 403b, because 403c is installed, the user _{7 1,} can have the position of the living body information collecting sheet ₄₀₁ 1 to 401 _n throat, to collect high sensitivity biological information it can.

The present invention is not limited to the first to fourth embodiments.
First, it is arbitrary whether the setting work, signal processing, abnormality determination processing, or the like is performed by the host computer or the control device. For example, the control device does not perform signal processing and abnormality determination processing from the control device. It is also conceivable that the mixed signal of the biological information collecting sheet and the signal of the bed leaving sensor are transmitted to the host computer, and signal processing and abnormality determination processing are performed on the host computer side.
In addition, there are cases where signal processing and abnormality determination are shared between the control device and the host computer, and various other cases are conceivable.
Further, there may be a case where no host computer is installed. This is effective, for example, when it is used individually in an individual's house, home care or nursing facility, etc., and you want to be notified by telephone or nurse call when there is an abnormality in the condition. This is effective when installing multiple beds in a room.
It is also possible to consolidate all the signals from the bed sensor and the biological information collection sheet in the host computer without installing a control device, and to perform all bed / bed presence determination processing and bed movement determination processing by the host computer. It is done.
It is also conceivable to configure the biological information monitoring system according to the present invention using cloud computing.

Various cases can be considered for the material of the sheet materials 103a and 103b constituting the bag body 101, the bonding method, and the like. It is also conceivable that the reinforcing sheets 141a and 141b are not provided.
Various types of sensors used in the sensor module 111 can be considered. For example, it is possible to use a piezoelectric sensor or a microphone. It is also conceivable to provide a filter circuit separately from the sensor module 111.
In addition, for example, a configuration in which a circuit or a battery that performs wireless communication is built in the sensor module 111 may be considered. In this case, the cable 135 is unnecessary, and the sealing process of the bag body 101 and the sensor module 111 is also unnecessary.
Further, in the case of the first to fourth embodiments, an example in which one bed sensor is used has been described. However, if two of these sensors are used and one of them is “ON”, the current sensor is present. A configuration is also possible in which the floor is left when both are “off”.
In addition, the illustrated configuration is merely an example.

  The present invention, for example, is a biological information monitoring system that collects biological information such as breathing, heartbeat, and pulse of a user who is placed under a mattress in a nursing bed and lies on the mattress and notifies when an abnormality is detected. It is particularly suitable for a biological information monitoring system installed in a care bed, for example, with regard to a device designed to quickly detect important events such as death and seizure.

1 biological information monitoring system 7 ₁ to _7-n users 11 ₁ to 11 _n lifting sensor 13 ₁ to 13 _n biometric information collection sheet 15 ₁ to 15 _n control device 19 the host computer 81a-shaped member 81b shaped member 83a~83e support Member 85 bed leaving detection switch 97 protrusion 101 bag body 105 air chamber 111 sensor module 121 pyroelectric infrared sensor 123 electronic component (amplifier circuit)

Claims (21)

A bed sensor installed under the mattress where the user lies,
A biological information collecting sheet installed under the mattress;
A monitoring device that monitors the user's bed / bed and biological information based on the signal from the bed sensor and the signal from the biological information collection sheet;
In the biological information monitoring system consisting of
The monitoring device determines whether the user is getting out of bed / being present based on a signal from the bed leaving sensor, determines whether there is an important event based on a mixed signal from the biological information collection sheet, A biological information monitoring system for notifying various biological information obtained by performing arithmetic processing on a mixed signal from the biological information collection sheet when it is determined that there is no important event. The biological information monitoring system according to claim 1,
The determination of getting out of bed / being in bed is made when the getting out detection time for detecting the off signal out of the on / off signals of the getting out sensor exceeds the predetermined false detection prevention time. A biometric information monitoring system. In the biological information monitoring system according to claim 1 or 2,
The determination of the presence or absence of the important event is cardiopulmonary arrest determination and body movement determination, and the cardiopulmonary arrest determination is such that a state where the threshold value set in the mixed signal is counted only a predetermined number of times within a predetermined time continues for a predetermined time. The body movement determination is performed by detecting that a state in which the threshold value set in the mixed signal is counted a predetermined number of times within a predetermined time continues for a predetermined time. A biological information monitoring system characterized by being. In the biological information monitoring system according to any one of claims 1 to 3,
When it is determined that there is no significant event in the bed, the monitoring device obtains a respiratory waveform by filtering the mixed signal from the biological information collection sheet, calculates and calculates the respiratory rate from the respiratory waveform, If the respiration rate is within a predetermined normal respiration range, the respiration rate is notified, and if the respiration rate is outside the normal respiration rate range, it is determined that there is a respiratory abnormality,
Filtering the mixed signal from the biological information sheet to obtain a pulse waveform, calculating and calculating the pulse rate from the pulse waveform, and reporting the pulse rate if the pulse rate is within a predetermined normal pulse rate range A biological information monitoring system, characterized in that if it is outside the normal pulse rate range, it is determined that the pulse is abnormal. In the biological information monitoring system according to any one of claims 1 to 4,
The monitoring device outputs abnormal alarms in the order of bed leaving / bedping, cardiopulmonary arrest, body movement, breathing and pulse based on the judgment of bed leaving / bedding, cardiopulmonary arrest, body movement, breathing, and pulse. A biological information monitoring system characterized by not outputting a subordinate alarm when an alarm is output. The biological monitoring system according to claim 5, wherein
A biological information monitor characterized in that, when the above-mentioned alarm of getting out of bed / bed is performed, a lower level alarm is output by performing a process of suppressing a lower level alarm. system. The biological information monitoring system according to claim 6,
In the above-mentioned cardiopulmonary arrest, body movement, breathing, and pulse alarm, the processing time is set to a predetermined value so that the upper alarm is not output when the upper alarm is output. Biological information monitoring system. In the biological information monitoring system according to any one of claims 1 to 7,
The biological information monitoring system, wherein the monitoring device further performs apnea discrimination. The biological information monitoring system according to claim 8, wherein
The biological information monitoring system, wherein the apnea determination is performed based on a frequency at which a signal having an amplitude greater than or equal to a predetermined threshold appears in the mixed signal within a predetermined time. The biological information monitoring system according to any one of claims 1 to 9,
The determination of getting out of bed / being in bed is made by determining the off signal without determining to get out of the bed even when the detection time of detection of detecting the off signal exceeds a predetermined false detection prevention time. A biological information monitoring system, characterized in that when a bed leaving detection time during which a bed is detected exceeds a predetermined continuous bed leaving time, it is determined that there is a continuous bed leaving abnormality. The biological information monitoring system according to any one of claims 1 to 9,
The determination of bed leaving / flooding is to determine bed leaving when the bed detection time during which the off signal is detected out of the on / off signal of the bed sensor exceeds a predetermined false detection prevention time, Biological information monitoring characterized in that it is determined that there is a continuous bed abnormality when the bed detection time during which the on signal of the bed sensor on / off signal is detected exceeds a predetermined continuous bed time. system. The biological information monitoring system according to any one of claims 1 to 9,
The determination of getting out of bed / being in bed is made by determining the off signal without determining to get out of the bed even when the detection time of detection of detecting the off signal exceeds a predetermined false detection prevention time. The bed detection time for detecting an ON signal of the ON / OFF signal of the bed sensor when the bed detection time during which the bed detection exceeds a predetermined continuous bed time is determined A biological information monitoring system, characterized in that when a predetermined continuous bedtime exceeds a predetermined continuous bedtime time, it is determined that there is a continuous bedtime abnormality. The biological information monitoring system according to claim 11,
A biological information monitoring system configured to be able to select presence / absence of notification regarding the bed leaving determination. The biological information monitoring system according to any one of claims 1 to 13,
The biological information monitoring system, wherein the monitoring device is a control device installed in the vicinity of the mattress and / or a remote host computer. The biological information monitoring system according to claim 14, wherein
There are a plurality of the mattresses, and the control device is installed for each mattress.
A biological information monitoring system in which all of these control devices are connected to a remote host computer. The biological information monitoring system according to claim 15,
The biometric information is obtained and notified by the control device, and a summary display of various biometric information in the control devices and various biologics in a specific control device are performed by the remote host computer. A biological information monitoring system characterized by switching between detailed display of information. The biological information monitoring system according to any one of claims 1 to 16,
The bed leaving sensor includes a pair of plate-like members installed in parallel, an elastic support member provided between the pair of plate-like members, and the pair of plate-like members installed between the pair of plate-like members. A biological information monitoring system comprising: a bed leaving detection switch that is selectively pressed through a member. The biological information monitoring system according to claim 17,
The biological information monitoring system, wherein the bed detection switch is provided with a protrusion that contacts the plate-like member. The biological information monitoring system according to claim 17,
A biological information monitoring system, wherein a predetermined gap is provided between the protrusion of the bed leaving switch and the plate member. The biological information monitoring system according to any one of claims 1 to 19,
The biometric information collection sheet includes a bag body provided with a plurality of air chambers, the inside communicating with each other, and a sheet-like shape as a whole, a sensor provided in the air chamber and a circuit for amplifying a signal from the sensor. A biological information monitoring system comprising a sensor module provided on a substrate. The biological information monitoring system according to claim 20,
A biological information monitoring system, wherein a plate-like pressing member is installed on a user-side surface of the biological information collection sheet.

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