JP5791156B2 - Intelligent bed and bed prediction sensor system - Google Patents

Description

  The present invention relates to welfare and medical equipment for reducing the burden of nursing care in elderly care and medical facilities, etc., and enables caregivers and the like to remotely recognize a patient's getting out of bed and getting out of bed using a quantitative method. It is aimed at the technical field for providing such devices and programs. It also has functions as a biometric sensor and an emergency communication system.

  In the field of medical care and welfare, it is a big social problem that a patient gets up from a bed or a futon without hesitation and an accident such as a fall or fall occurs in a patient with weak muscle strength or an elderly person with dementia. ing. In addition, it is extremely difficult for nurses and caregivers who are extremely busy to monitor the actions of many patients. In addition, it is difficult for a welfare person or medical staff to check a large number of health conditions and living conditions from a remote place for the elderly living alone at home.

In current hospitals, a general method is to place a mat using a foot-type switch at the exit of the bed and issue a warning when the patient steps on it with a foot, or report to a remote nurse station, etc. Has been taken.
However, in this method, there is a case where the patient is already standing up and a dangerous situation has occurred. Therefore, even if the caregiver rushes, it may be too late.

  As another method, the weight change of the patient is recognized from the sensor position where the load recognition sensor mat is placed under the bed mat and the mattress, and the prediction of bed leaving and the confirmation of bed leaving are performed. However, in this system, malfunctions occur due to the patient turning over or posture during sleep, and further, the electrical wiring and the like inside the mat frequently cause disconnection and poor contact due to plastic deformation due to repeated bending.

  On the other hand, when a pressure-type touch sensor or a biological sensor using infrared rays or ultrasonic waves is used for the handrail around the bed, a malfunction or a nurse or doctor that touches the sensor even if the patient himself / herself is not willing to get out of bed. Problems such as alarm activation due to sensor recognition at the time of round visits have accumulated.

Japanese Patent Laid-Open No. 11-076178 Japanese Patent Laid-Open No. 10-094525

  When using a mat-type load recognition sensor, it is required to solve the deterioration of reliability due to disconnection and contact failure caused by malfunction due to rolling over and the like and repeated plastic deformation. The frequency problem is difficult to solve. Moreover, although it is calculated | required to improve the QOL for removing the discomfort of the sensor mat used when the patient is sleeping and the troublesomeness of the power cord, etc., it is difficult with the current measurement method.

  In the sensor for getting out of bed, caregivers are strongly required to report at the time of getting out of bed rather than reporting after getting out of the patient, so the use of multiple sensors and microcomputers tends to make the system complicated and expensive. is there.

  In the case of using a biometric recognition sensor recognition sensor using infrared rays or ultrasonic waves, the presence of a human body or a caregiver in the vicinity of the patient is recognized and reported. In order to solve this malfunction, it is difficult to solve the problem even if the installation position of the sensor is changed or a cooperative recognition technique with a touch sensor or the like is used.

  Therefore, the present invention provides a low-cost “get-off” and “get-off prediction” system for the purpose of improving the patient's QOL and preventing the malfunction as compared with the prior art. Furthermore, it is possible to provide a system having an emergency communication function and a life monitoring sensor for an elderly person living alone in a remote place.

In order to solve the problems of the prior art, in the present invention, the bed on which the user lies, the bed upper part located on the user's head side, the bed lower part located on the user's foot side, the bed upper part and the bed lower part And a load recognition sensor arranged at the center of the bed between the head and the pillow body on which the user puts his head on the bed to recognize the movement of the center of gravity of the user's head and output a voltage IT intelligent pillow sensor, load recognition sensor input voltage and frequency response detection results, IT intelligent pillow sensor input voltage and frequency response detection results, the user is off bed or the user is in bed An intelligent bed and bed leaving prediction system comprising a judgment means for judging bed leaving prediction from above, wherein the load recognition sensor is a flexible bed whose longitudinal direction corresponds to the width direction length of the bed. A flexible bar made of a hollow hollow pipe, a piezo cable provided inside the longitudinal direction of the flexible bar at both ends in the longitudinal direction of the flexible bar and outputting a voltage according to deformation, and provided between the piezo cables Wire that deforms by applying a load to the piezo cable by deformation of the flexible bar that is elastically deformed by the load of the user on the bed by connecting the piezo cable provided at both ends of the flexible bar in a state stretched in the longitudinal direction of the flexible bar The determination means is configured such that the input voltage output from the IT intelligent pillow sensor is smaller than a preset set value, and the frequency response from the IT intelligent pillow sensor and the load recognition sensor is smaller than a preset set value. If the user has left the bed, it is determined that the user has left the bed, and the IT intelligent pillow sensor Bed prediction that predicts that the user will get off the bed when the input voltage applied is smaller than the preset value and the frequency response from the IT intelligent pillow sensor and the load recognition sensor is greater than the preset value. Judging.

With regard to the criteria for getting out of the microcomputer, for example, when other load recognition sensors are used mainly for the determination of the IT intelligent pillow sensor, if the two types of sensor outputs are within the values set for the bed leaving level, to decide.

  Regarding the criteria for the prediction of getting out of the microcomputer, it is a necessary condition for information transmission that the output from the head measurement sensor inserted in the pillow is at the getting-off level and the output from the upper body load sensor is also at the getting-off level, and the patient When the setting condition that the output from the load recognition sensor does not reach the bed leaving level is determined, a warning for bed leaving is issued by the microcomputer.

  In the system of the present invention, the judgment of “getting out of bed” or “getting out of bed” by a microcomputer is issued by an alarm based on intelligent judgment of information from a plurality of sensors by the logic of the program, so that there are few malfunctions.

  In the present invention, a touch sensor attached to a handrail of a bed for determination of “getting out of bed” or “prediction of getting out of bed”, a foot switch type mat installed at a bed exit, or a biometric recognition sensor using infrared rays, ultrasonic waves, or the like Is not used as in the prior art, and it prevents the malfunction of alarms generated by recognizing caregivers and visitors other than patients.

  In the present invention, the sensor body is not installed in a visible place like a conventional sensor for improving the patient's QOL or dementia patient, and is attached to the inside of the pillow, the cover of the comforter, etc. There is little discomfort given to the patient without conspicuous, and the power cords and the power supply are designed to have as little discomfort as possible.

  Since a mobile phone or a wireless / wired LAN system is used, it is possible to simultaneously monitor a plurality of beds and patients simultaneously.

  According to the present invention, prediction of a bed on a bed or bedding and bed leaving can be achieved by an intelligent technology using a microcomputer and a control program based on logic that positions and prioritizes each sensor using a plurality of sensors simultaneously. It is possible to report the situation to a caregiver or a nurse accurately in real time.

  It is possible to contribute to prevention of falls / falls, prevention of wrinkles, etc. by the nurse and caregiver recognizing the prediction of bed leaving and the bed leaving situation of a patient who needs a resting state by using this bed leaving sensor system.

  When the present invention is used for a monitoring sensor such as an elderly person living alone, only information set by selecting information set in real time by a program in a microcomputer in the system is notified to an administrator or a caregiver.

  If an elderly person living in a distant place needs help urgently, if an IT intelligence pillow is shaken greatly in the specified direction, it will be sent to the manager or caregiver as an emergency call, and at the same time a resident in the neighborhood In addition, it is possible to call for help by displaying an outdoor diffuse warning light so that the situation can be grasped.

It is explanatory drawing which shows the structure of the IT intelligent pillow of the intelligent bed-and-bed prediction sensor system which is one embodiment of this invention. It is explanatory drawing which shows the structure of the top sensor of the intelligent bed leaving and bed leaving prediction sensor system which is one embodiment of this invention. It is explanatory drawing which shows the structure of the load recognition sensor of the intelligent bed-and-bed prediction sensor system which is one embodiment of this invention. BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a human body load distribution diagram and a sensor installation diagram related to an intelligent bed leaving and bed leaving prediction sensor system according to an embodiment of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a system configuration diagram of an intelligent bed leaving and bed leaving prediction sensor system according to an embodiment of the present invention. It is a flowchart which shows the judgment method of the acceleration sensor input in the microcomputer of the intelligent bed-and-bed prediction sensor system which is one embodiment of this invention. It is a microcomputer block diagram of the pillow sensor of the intelligent bed removal / bed bed prediction sensor system according to an embodiment of the present invention. It is a flowchart which shows the determination method of the sensor input in the integrated microcomputer of the intelligent bed-and-bed prediction sensor system which is one embodiment of this invention. It is a determination block diagram of the integrated microcomputer of the intelligent bed leaving and bed leaving prediction sensor system according to the embodiment of the present invention.

  FIG. 1A is a detailed view of the IT intelligent pillow sensor. Since the control capsule of 2 is fixed to the metal fitting of the pillow body with 4 fixing wires, when the patient uses the pillow, the control capsule of 2 greatly vibrates due to vibration or load. At this time, the center material of the six pillow bodies uses urethane to make the inside hollow, thereby enabling the movement of the two control capsules. Other materials for the pillow part can be used freely as appropriate, such as feathers, buckwheat husks, cotton, and plastic materials. FIG. 1B is a cross-sectional view of the inside of the control capsule 2. The accelerometer unit base 7 can be used for one axis, two axes, and three axes, and can perform measurement according to its performance. The output voltage by measurement is connected to 8 microcomputers, and when a voltage higher than the set value is output, the use confirmation of the patient is confirmed by the 8 microcomputer control program. However, if the output voltage of the accelerometer 7 is equal to or lower than the set value, it is determined that the patient is not in use, a signal is sent to the 9 transmission unit, and information is sent to the 28 general microcomputers.

  FIG. 2 is a detailed view of the top sensor. This is a flexible film sensor having a rectangular shape of about 25 cm × 45 cm × 0.3 cm. At four corners, eleven fasteners such as hook-and-loop fasteners and fasteners can be attached to the duvet cover and blanket cover. Inside the sensor, 15 strip-shaped piezofilms are in a state of cloth folding, and each strip-shaped piezofilm is connected by a lead wire, and a voltage of about 0.5 V is generated due to plastic deformation of the sensor due to patient movement. Further, in order to prevent damage to the 15 piezo film, 15 piezo films are provided on 16 thin cloths and further covered with 14 protective films such as polyethylene. The output of the 13-up sensor is transmitted in real time to the 28 central microcomputers via the 10 microcomputer connectors, with the voltage values generated from the 15 piezoelectric films regarding the movement in the X and Y directions depending on the usage state of the patient.

FIG. 3 is a detailed view of the load recognition sensor. FIG. 3 (1) is an internal situation diagram in which the central part is vertically divided. The material of 20 flexible bars uses a flexible hollow square pipe such as polyethylene and vinyl chloride. The length in the longitudinal direction corresponds to the width of the bed. Inside this, 17 tension adjusting brackets are fixed to both sides. Since the tension fitting is used in a pair with 22 adjustment nuts and is threaded, the tension of the 19 wires is increased when the 22 adjustment nuts are tightened. This adjusts the slack of the wire. The 18 piezo cables are looped through the upper end of the 27 mounting brackets as shown in FIG. 3 (2) details of the hanging brackets, and then tightened so as not to come off with the 26 crimping brackets. 24 fixing nuts are fixed to 17 tension adjusting brackets, and 25 flexible joints serve to prevent twisting of the 18 piezo cable. The 19 wires and the 18 piezo cables are fixed in the same manner as in the case of the 27 mounting brackets by looping them together with 26 caulking brackets (refer to the fastening detail drawing).
In use, one using the load sensor three is placed in the bed upper back portion, the other two are installed as respectively at right angles and the bed frame to the waist and bed bottom of the bed the center.
When the user is on the bed, an output voltage is input to 28 general microcomputers via 21 microcomputer connectors by elastic deformation of 20 flexible bars.

  FIG. 4 (1) shows the situation when the human body lies on the bedding. When the load distribution is measured, it is proved that the weight distribution of the human body is loaded on the bedding as well as the sleeping position as shown in the mesh diagram of FIG. Based on this result, the load recognition sensor shown in FIG. 3 is installed at three places, the upper part of the bed, the central part of the bed, and the lower part of the bed as shown in FIG. 4 (3). The load changes due to weight shift. As a result, it becomes possible to infer the patient's situation from the set value and sensor input position of the sensor input in the 28 integrated microcomputers at the time of getting out of bed.

FIG. 5 is a system configuration diagram of the present invention. (1) of FIG. 5 is a system configuration diagram assuming a case where a plurality of beds and hospital beds are managed. The reason why only the pillow is composed of 7 accelerometer units, 8 microcomputers, and 9 transmission units is usually when the usage of the pillow is expected to be used quite messy and the patient's head is not placed Assuming that, the pillow is made intelligent and judgment is made so that the movement of the patient due to slight contact can be predicted and the judgment of getting out can be made. In addition, it is possible to predict the sense of alienation and various troubles by using wired information, and to transfer wireless information directly to the server. For the same reason, the power source used has a charging function simultaneously with the supply from the 100V home appliance outlet. The outputs from other load recognition sensors and 13 top sensors are judged to be the bed leaving level while being always compared with the set voltage that is directly input to the 28 general microcomputer and processed by the CPU in the microcomputer and written in the main program. If it is done, it is recognized as getting out of bed or getting out of bed comparing with the output status with other sensors. This result is transmitted to 31 receivers via wireless and wired LAN systems in 45 transmission units (2). These data are transmitted to 29 display monitors (servers) via 30 hubs in real time. However, when measuring using only the IT intelligent pillow sensor at the time of system organization, send it directly to the 29 display monitor (server) via the 31 receivers and 30 hubs without using the 28 integrated microcomputers. It is possible.
(2) of FIG. 5 is a system configuration diagram using a wide area network. The main purpose is to manage individual houses for disabled persons living alone and elderly people living alone. Similarly to the above, data transmission from 29 general microcomputers and pillow sensors is performed via 33 Internets via 32 routers in 45 transmission units (2), and 29 display monitors via 39 routers (2). (Server). However, when measuring using only the IT intelligent pillow sensor at the time of system configuration, do not use 28 general microcomputers, but directly 32 routers, 33 routers via the Internet, 39 routers (2), 29 display monitors It is possible to transmit to (server). Further, when the patient wants to make an emergency call, it also has a function as an emergency signal transmission device by adding a predetermined number of amplitudes in a predetermined direction.

FIG. 6 shows a method for determining the input of the 7 accelerometer unit in the microcomputer. The operation of the IT intelligent pillow sensor shown in FIG. 7, that is, the detection method for getting out of bed and getting out of bed according to the present invention will be described.
In addition, the set value (SA) of the voltage of the 7 accelerometer unit and the set value (SHz) of the frequency response of the 7 accelerometer unit are stored in advance in the storage unit 37. The 35 comparator compares the input voltage (measured in step S1 in FIG. 6) and the frequency response from the 7 accelerometer unit with the set values (SA) and (SHz). The input measured by the 7 accelerometer unit to be compared with the set value (SA) of the voltage of the 7 accelerometer unit and the set value of frequency response (SHz) of the 7 accelerometer unit, which the 35 comparison unit stores in advance in the 37 storage unit The voltage is (V1), and the frequency response measured by the 7 accelerometer unit is (Hz1). After the 7 accelerometer units measure the input voltage (V1) in step S1, the input voltage (V1) and the set value (SA) are compared in step S2.
In step S2, when the input voltage (V1) is greater than the set value (SA), that is, in step S2, if the input voltage (V1) is determined not to be smaller than the set value (SA), the patient (user) is determined. Since it is on the bed, it is determined that there is no problem, and the process returns to step S1 and the measurement is performed again.
However, when the input voltage (V1) is smaller than the set value (SA), that is, when YES is determined in step S2, there is a possibility that the target patient does not exist on the bed.
Here, in Step S3, “the bed warning 1 is transmitted.”
Next, in step S4, the frequency response (Hz1) is compared with the set value (SHz).
In step S4, when the frequency response (Hz1) is equal to or lower than the set value (SHz), the determination is YES, and it is determined that the patient is not on the bed, that is, “gets out of bed”, and the alarm 1 is ended.
However, after determining that the input voltage (V1) is smaller than the set value (SA) in step S2, when the frequency response (Hz1) is larger than the set value (SHz) in step S4, that is, in step S4, the frequency response (Hz1 ) Is not smaller than the set value (SHz), it is predicted that the patient's movement is activated on the bed and is corrected by sending an alarm 2 in step S5 as “an expectation of getting out of bed”. To do.
The difference between the alarm 1 and the alarm 2 is distinguished by, for example, a flashing display or a lighting display on the display board of the server. On the other hand, it is possible to distinguish between colors to be displayed and to give a warning by voice.

FIG. 7 is a block diagram showing a method of determining acceleration bed input and bed prediction in 38 pillow microcomputers used in the IT intelligent pillow sensor. The 38 pillow microcomputers operated by a battery or a charging power source have 34 input CHs, 37 storage units, 35 comparison units, and 36 output units. The 34-input CH, 35 comparison unit, and 36 output unit are composed of a CPU and its control program. The 7 accelerometer unit is connected to one of 34 input CHs, and measures the voltage output from the sensor in real time. Nine transmission units are connected to the 36 output unit. On the other hand, the comparing unit 35, 7 a voltage value is stored as the set value S A at a certain time when the patient in the storage unit of the input value and advance 37 of the accelerometer unit is on the bed, the set value S A When the measured voltage at a certain time is smaller than the set value by comparison with the above, a warning 1 is transmitted. When the patient is not on the bed, the output voltage is very close to 0, and when the frequency response per minute is small, it is determined that the person is getting out of bed. Further, when the input voltage (V1) from the 7 accelerometer unit is small and the frequency response (Hz1) fluctuates greatly in one minute, it is judged as “predicted bed leaving” and the alarm is switched to 2. The output unit of 36 holds the operation of 9 transmission units until it is reset by the administrator of the 29 display monitor (server). In the present invention, it is possible to distinguish between “premature bed prediction” and “getting out bed”, so that one person manages a plurality of beds, and even if an abnormal situation occurs at the same time, a caregiver or nurse promptly takes care of the patient. It is possible to determine the priority to be performed.

FIG. 8 shows a sensor input determination method in the general microcomputer. The operation of the decision block diagram of the general microcomputer shown in FIG. 9, that is, the method for detecting bed leaving and bed prediction according to the present invention will be described.
In addition, the voltage setting value (SV) of the 7 accelerometer unit and the frequency response setting value (SHz) of the 7 accelerometer unit are stored in advance in the storage unit (2) 41.
Also, the sensor inputs (V1, V2, V3, V4) of the 46 load recognition sensor (1), 47 load recognition sensor (2), 48 top sensor (2), 49 and other sensors detected in step S1. Similarly, the set values (SB), (SC), (SD), and (SE) are similarly stored in the 41 storage unit (2).
42 storage unit (2) uses the determination result from 7 accelerometer units (V <SV in step 2) as the first priority input, and sets the voltages at the other sensor inputs V1 to V4 as the respective set values (SB), ( When two or more types of sensor responses are compatible with the logic of the CPU program of the microcomputer compared to (SC), (SD), (SE), that is, in step S2, the input voltage (V ) Is smaller than the set value (SV) and the input voltages (V1, V2, V3, V4) of the other sensors are smaller than the set values (SB, SC, SD, SE), 50 alarm transmission units in step S3 Alert 1 is issued.
If this condition is not satisfied for each sensor, the process returns to step S1 again to measure the input voltages V and V1 to V4.
However, if this voltage to the voltage of two or more sensors set value in the measurement (SV, SB, SC, SD , SE) less than is to trigger an alarm 1 at step S3, 7 accelerometer at step S4 comparison of the frequency response of the measurement result of the unit (AHZ) and the frequency response of the set value (SHZ), measurement results (BHz~EHz) and the set value of the frequency response of the frequency response of other sensors and (Hz2~Hz5) Is compared in the 42 comparison section (2).
When the measurement result (AHz to EHz) is larger than the set value (SHz, Hz2 to Hz5) in two or more types of sensors, that is, the frequency response AHz to EHz of the measurement result is the set value SHz, in step S4. If it is not lower than Hz2 to Hz5, the alarm 2 is issued from the 50 alarm transmission unit in step S6 in consideration of other sensor comparison results with the information of the 7 accelerometer unit as the first priority. In step S4, when the frequency responses AHz to EHz of the measurement result are set values SHz and Hz2 to Hz5 or less, a YES determination is made, and step S5 is executed.
Evaluation of the final result and error correction are determined by the following logic. When the input voltage (V, V1, V2, V3, V4) of each sensor is larger than the set value (SV, SB, SC, SD, SE), the patient is on the bed, so there is no problem, and the measurement is repeated after step S1. To do.
However, when the input voltage (V, V1, V2, V3, V4) of each sensor is smaller than the set value (SV, SB, SC, SD, SE), there is a possibility that the target patient does not exist on the bed. is there.
Here, “send bed warning 1 is transmitted.” Next, when the frequency response (AHz) of the 7 accelerometer unit is also smaller than the set value (SHz), it is determined as “get out of bed” and the process ends with warning 1.
However, after determining that the input voltage (V) of the 7 accelerometer unit is smaller than the set value (SV) in step S2, if the frequency response (AHz) is larger than the set value (SHz) in step S4, the patient's movement Is predicted to be activated on the bed, and the warning 2 is transmitted as “an expectation of getting out of bed” to autonomously correct and end.
The difference between the alarm 1 and the alarm 2 is distinguished by the difference between the blinking display and the lighting display on the display board of the server. On the other hand, it is possible to distinguish between colors to be displayed and to enable warning by voice.

FIG. 9 is a block diagram illustrating the bed leaving and bed leaving prediction system using the plurality of sensors illustrated in FIGS. 1 to 3. The 7 accelerometer unit is directly connected to the 42 comparison section (2), and the determination result output from the 38 pillow microcomputer is input as the first priority information. In addition, the 40 inputs CH (2) can be input with voltages of outputs of a 46 load recognition sensor (1), a 47 load recognition sensor (2), a 48 overlay sensor (2), and 49 other sensors . 2 The 8 microcomputers operate from the battery and the power supply for home appliances. The 40-input CH (2), 41 storage unit (2), 42 comparison unit (2), and 43 end determination unit are composed of a CPU and its control program. The 40 inputs CH (2) are supplied with voltages according to measurement conditions from the sensors 46, 47, 48, and 49 as V1, V2, V3, and V4. As shown in FIG. 8, when the input voltages V, V1 to V4 are equal to or higher than the set values SV, SB, SC, SD, SE , the output from the 44 output unit (2) is not repeated and another sensor is used again. Compare input to setpoint.
However, when the input voltages V, V1 to V4 are the same as or lower than the set values SV, SB, SC, SD, SE , the result is stored in the 41 storage unit (2) and set values SV of other sensors. , SB, SC, SD, SE wait for sensor input results that are the same or less. 7 acceleration by the five sensor inputs results prioritizes two or more sensors results set value SV, SB, SC, SD, SE equal or if it is less, immediately program logic, An alarm corresponding to the result of comparison with the determination result of the meter sensor is issued from the 50 alarm transmission unit. In the comparison of the set values SV, SB, SC, SD, SE and the input voltages V, V1 to V4 from the sensors, the 42 comparison unit (2) determines the measured voltage when there are two or more types of sensors determined as above. Is smaller than the set values SV, SB, SC, SD, SE, a warning 1 is transmitted. When the patient is not on the bed, the output voltage is very close to 0, and when the frequency response per minute is small, it is determined that the person is getting out of bed. Further, when the input voltage (V) from the 7 accelerometer unit is smaller than the set value (SV) and the frequency response (SHz) fluctuates greatly in one minute, it is determined as “prediction of getting out of bed” and switched to alarm 2. The 44 output unit (2) holds the operation of the 50 alarm transmission unit until it is reset by the administrator of the 29 display monitor (server).
In the present invention, because of the determination by the comparison method using many sensors, it is possible to more accurately determine the judgment distinction between “getting out of bed” and “getting out of bed”. Even if this occurs, the caregiver or nurse can determine the priority order for the patient to be dispatched.

DESCRIPTION OF SYMBOLS 1 Power supply connector 2 Control capsule 3 Charging unit 4 Fixing wire 5 Fastening bracket 6 Pillow body 7 Accelerometer unit 8 Microcomputer 9 Transmission unit 10 Microcomputer connector 11 Surface fastener 12 Lead wire 13 Overlay sensor 14 Protective film 15 Piezo film 16 Thin cloth 17 Tension adjusting bracket 18 Piezo cable 19 Wire 20 Flexible bar 21 Microcomputer connector 22 Adjustment nut 23 Lifting bracket 24 Fixing nut 25 Flexible joint 26 Caulking bracket 27 Mounting bracket 28 General microcomputer 29 Display monitor (server)
30 Hub 31 Receiver 32 Router 33 Internet 34 Input CH
35 Comparison Unit 36 Output Unit 37 Storage Unit 38 Pillow Microcomputer 39 Router (2)
40 Input CH (2)
41 Storage unit (2)
42 Comparison part (2)
43 End determination unit 44 Output unit (2)
45 Transmission unit (2)
46 Load recognition sensor (1)
47 Load recognition sensor (2)
48 Top sensor (2)
49 Other sensors 50 Alarm transmission unit

Claims (3)

A bed on which the user lies,
The bed upper part located on the user's head side, the bed lower part located on the user's foot side, the load recognition sensors respectively disposed in the bed center part between the bed upper part and the bed lower part,
An IT intelligent pillow sensor that is provided in a pillow body on which the user places a head on the bed and recognizes the movement of the center of gravity of the user's head and outputs a voltage;
Based on the detection result of the input voltage and frequency response of the load recognition sensor , and the detection result of the input voltage and frequency response of the IT intelligent pillow sensor, the user leaves the bed or the user moves from the bed. An intelligent bed leaving and bed leaving prediction system comprising a judgment means for judging bed leaving prediction.
The load recognition sensor includes a flexible bar made of a flexible hollow square pipe whose longitudinal direction corresponds to the width direction length of the bed, and is provided at both ends in the longitudinal direction of the flexible bar along the longitudinal direction of the flexible bar. A piezo cable that outputs a voltage according to deformation, and a piezo cable that is provided between the piezo cables and stretched in the longitudinal direction of the flexible bar, and is connected to the flexible bar on the bed. The wire is deformed by applying a load to the piezo cable by deformation of a flexible bar that is elastically deformed by the user's load,
In the case where the input voltage output from the IT intelligent pillow sensor is smaller than a preset set value, and the frequency response from the IT intelligent pillow sensor and the load recognition sensor is smaller than a preset set value It is determined that the user has left the bed,
When the input voltage output from the IT intelligent pillow sensor is smaller than a preset set value and the frequency response from the IT intelligent pillow sensor and the load recognition sensor is larger than the preset set value, the user Intelligent bed and bed prediction sensor system characterized by determining bed prediction that predicts bed removal from above.
If the determination means determines that the input voltage from the IT intelligent pillow sensor is smaller than a preset value, the determination means determines that the user's head does not exist on the IT intelligent pillow sensor and transmits an alarm. The intelligent bed leaving and bed leaving sensor system according to claim 1. The determination means determines that the input voltage from the intelligent pillow sensor is smaller than a preset set value and the frequency response from the IT intelligent pillow sensor and the load recognition sensor is greater than a preset set value. The intelligent bed removal / bed bed prediction sensor system according to claim 2, wherein an alarm predicting that the bed is to bed is transmitted from the bed.

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