JPH08317909A - Sleeping state judging device - Google Patents

Abstract

PURPOSE: To enable the reporting corresponding to the degree of quietness by judging, from the pulse rate, breathing rate and corporal motion, whether a living body in bed is in a quiet state. CONSTITUTION: This device is composed of a vibration detecting means 3 which detects information about the vibration of a body lying on a mattress, a feature analyzing means 5 which analyzes the feature of an output signal from the vibration detecting means 3, a memory means 6 which stores, in advance, the feature of a quiet state, a judging means 7 which determines the degree of quietness by comparing the feature stored in the memory means 6 with the feature analyzed by the feature analyzing means 5, and a reporting means 8 which gives the report, based on the result of determination by the judging means 7.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a sleeping state determining apparatus for grasping the rest level of a sleeping person in a hospital, an insurance facility for the aged, etc.

[0002]

2. Description of the Related Art In a conventional apparatus of this type, as shown in FIG. 13, a body movement detecting means 20 is arranged on a bed 22 such as a mattress of a bed 21, and an amplifier 23 and a recorder 24 are provided. When a person enters the bed 22, the body movement detecting means 20
Then, it detects a small vibration signal of the body caused by a large body movement such as turning over, entering the bed, leaving the bed, or a pulsation of the heart at rest or a respiratory movement, and amplifies the signal by the amplifier 23,
The body motion of a person is detected by recording with the recorder 24 (for example, Japanese Patent Laid-Open No. 3-272744).

[0003]

However, it is important to know whether or not a severely ill patient who is forced to rest is in a resting state. For example, the physical movement of the body when waking up from anesthesia can be an index of the effect of anesthesia, and the artificial respiration and the drip can be disengaged due to the excessive physical movement for the patient receiving the artificial ventilation and the intravenous drip. It is necessary to know the dangerous state. Although it is possible to monitor the precise physiological condition with a measuring device such as an electrocardiogram, these devices simultaneously measure the total movement or partial movement of the body to determine rest and sleep levels. I couldn't do that.

[0004] The first purpose is to determine whether or not the living body in bed is in a bed in a resting state and to determine whether the living activity of the living body, for example,
A sleeping state determination device that detects vibration signals caused by heart beats, respiratory movements, other visceral movements, rolling over, limb movements, etc., analyzes the characteristics of the signals, and determines the rest level for notification. To provide.

A second object of the present invention is to provide a sleeping state determining apparatus which can determine the rest level by using the same device even if the living body to be used or the use condition changes.

[0006] A third object is to detect whether or not the living body is in bed at rest and to detect whether or not the vibration signal caused by the pulsating motion of the heart, among the vibrations caused by the life activity of the living body. Thus, a sleeping state determination device is provided that analyzes the characteristics of the signal, determines the rest level, and notifies the rest level.

A fourth object is to detect whether or not the living body in bed is in bed in a resting state by detecting a vibration signal caused by a respiratory motion, among vibrations generated by the life activity of the living body, The present invention is to provide a sleeping state determination device that performs a feature analysis of the above, determines the rest level, and notifies the rest level.

A fifth object is to detect whether or not the living body in bed is in bed in a resting state by detecting a vibration signal caused by the whole body movement among the vibrations caused by the life activity of the living body, The present invention is to provide a sleeping state determination device that performs a feature analysis of the above, determines the rest level, and notifies the rest level.

[0009] A sixth object is to detect whether or not the living body is in bed at rest, by detecting a partial movement of the body among the vibrations caused by the life activity of the living body,
It is an object of the present invention to provide a sleeping state determination device that analyzes the characteristics of signals to determine the rest level and informs the rest level.

[0010]

In order to achieve the first object, a vibration detecting means for detecting vibration information of a living body on a bedding, and a characteristic analyzing means for analyzing characteristic information of an output signal of the vibration detecting means. Storage means for storing characteristic information in a rest state in advance, determination means for comparing the characteristic information analyzed by the characteristic analysis means with the characteristic information stored in the storage means, and determining the rest degree; And a notifying means for notifying according to the determination result of the means.

In order to achieve the second object, the storage means is provided with a changing means for changing the stored contents.

In order to achieve the third object, the feature analysis means is characterized by including heartbeat signal processing means for extracting a heartbeat signal from the output signal of the vibration detection means and performing waveform analysis processing.

In order to achieve the fourth object, the feature analyzing means is characterized in that it is provided with a respiratory signal processing means for extracting a respiratory signal from the output signal of the vibration detecting means and performing a waveform analyzing process.

In order to achieve the fifth object, the feature analysis means is characterized by including body movement signal processing means for extracting a body movement signal from the output signal of the vibration detection means and performing waveform analysis processing. .

In order to achieve the sixth object, a feature is that a plurality of vibration detecting means for independently detecting vibration information for each specific area are provided.

[0016]

When the living body lies on the bedding, the vibration detecting means detects a vibration signal from the living body due to the life activity. The characteristic analysis means analyzes the characteristic of the vibration signal, for example, characteristic information such as frequency structure, periodicity of a predetermined frequency band, amplitude, waveform and the like. The feature information stored in advance in the storage means and the feature information analyzed by the feature analysis means are compared by the determination means to determine the rest level. The notification means gives notification according to the determination result.

The changing means provided in the storage means changes the resting characteristic information stored in advance.

The heartbeat signal processing means provided in the feature analysis means extracts the heartbeat component from the vibration signal detected by the vibration detection means, analyzes the waveform, and determines the rest degree from the state of the cardiovascular system. Signal processing for.

The breathing signal processing means provided in the feature analyzing means extracts the breathing component from the vibration signal detected by the vibration detecting means, analyzes the waveform, and determines the rest degree from the state of the respiratory system. Signal processing of.

The body movement signal processing means provided in the feature analysis means detects the occurrence of body movement in the vibration signal detected by the vibration detection means, and performs signal processing for determining rest based on the movement state of the whole body. I do.

The plurality of vibration detecting means detect the body movement of each part of the body in order to judge the rest level by paying attention to the body movement of each part of the body.

[0022]

EXAMPLE A first example of the present invention will be described below. FIG.
The block diagram of the sleeping state determination apparatus of the 1st Example of this invention is shown in FIG.

In FIG. 1, reference numeral 1 is a human body, 2 is a mattress, and 3 is vibration detecting means attached to the mattress 2. Reference numeral 4 is a signal processing unit, 5 is a characteristic analysis unit, 6 is a storage unit for storing the characteristic information in a resting state, 7 is a determination unit, and 8 is a notification unit. The notifying means 8 is a monitor device placed in a nurse center together with a monitor device for other measuring instruments, and is installed in a place close to a nurse or a caregiver.

The operation of the above configuration will be described below. The piezoelectric element used here as the vibration detecting means 3 is formed into a tape shape or a coaxial cable shape by forming a thin film of a polymeric piezoelectric material such as polyvinylidene fluoride (PVDF) and attaching flexible electrode films to both surfaces. It is a thing. It is sewn into a piece of cloth and is arranged under the top cover of the layered structure of the mattress 2. From the appearance and the sense of touch, the human body 1 has a structure in which the vibration detecting means 3 is not recognized.

When a person comes to bed on the mattress 2, the vibration detecting means 3 is at the boundary between the mattress 2 and the human body 1,
The vibration signal resulting from the life activity of the human body 1 is detected. The detected signal is sent to the signal processing unit 4, where it is amplified and filtered. The signal output from the signal processing unit 4 includes a signal caused by a heartbeat and a signal caused by respiration when the person is in a resting state, that is, when he / she is lying on his back and does not move his / her body somewhere. ) Shows a waveform like. The characteristic information of the signal waveform in the rest state is stored in the storage means 6,
The feature analysis means 5 analyzes the input waveform pattern,
Extract characteristic components. As the characteristic component, the amplitude of the waveform,
Occupancy rate of each waveform component of heartbeat and respiration, frequency of peak waveform, etc. The determination means 7 performs pattern recognition by comparing with the analysis result of the characteristic analysis means 5 based on the characteristic information of the resting waveform pattern stored in the storage means 6. The waveform pattern that is the closest to the stored waveform pattern is extracted, and the rest degree of the waveform pattern is determined as the rest degree of the input signal. For example, in the storage means 6, FIG.
The respective characteristic information of the resting waveform as shown in (b) to (f) is stored. FIG. 2B shows the rest level No.
The waveform is ordered as 008. (C) is No. 0
34, (d) is No. 275 (e) is No. The rest level is getting worse at 596. (F) is No. This is an example of a waveform in which a regular waveform such as a heartbeat or respiration that occurs at rest due to a large body movement such as turning over in 999 is not seen, and analysis cannot be extracted by the feature analysis unit 5. The characteristic analysis unit 5 analyzes characteristic components such as the waveform amplitude, the heartbeat, and the occupancy ratio of each waveform component of respiration with respect to all waveforms, and the frequency of the peak waveform, and the determination unit 7 stores the characteristic components in the storage unit 6 ( It is compared with each characteristic component of the waveform pattern represented by (b) to (f). Now, in the judging means 7, the waveform pattern (a) of the detected vibration signal is the rest degree No. Since it most closely resembles No. 008, the rest level is No. 008. It is determined to be 008.

When the resting degree is determined by the judging means 7, the notifying means 8 has a table for notifying as shown in FIG. 4, and according to the resting degree, if the "resting area" is set, the green lamp is turned on. Yellow lamp lights up in "Caution area", "Alarm area"
The red lamp is turned on. Rest level N
o. Since 008 is in the rest area, the notification means turns on the green lamp. In the present embodiment, the notification method of the notification means 8 is the lamp lighting in the monitor device, but a notification method suitable for the site, such as a voice notification, may be used. Also,
As the format of the notification means 8, a pager format carried by a nurse or a caregiver by radio can be used.

It should be noted that the vibration detecting means 3 may use a structure in which the vibration of the human body 1 is derived from the output signals of other sensors such as temperature, infrared rays and visible images, instead of the piezoelectric element. The detection target of the vibration detection means 3 may be an animal such as a dog or a cat.

With the above operation, the following effects can be obtained. Unlike the electrocardiogram, sphygmomanometer, respirometer, etc., the human body 1 is non-invasive, detects a vibration signal that changes depending on the posture, etc. to determine the resting state and informs it. Anesthesia recovery can be grasped easily and without burdening the sleeping person.

Next, a second embodiment will be described. FIG.
The block diagram of the sleeping state determination apparatus of the second embodiment is shown in FIG. In FIG. 4, 1 is a human body, 2 is a mattress, 3 is a vibration detection means, 4 is a signal processing section, 5 is a characteristic analysis means, 6 is a storage means, 7 is a determination means, and 8 is a notification means. The feature extraction means 5 is provided with a heartbeat signal analysis means 9.
The heartbeat signal processing means 9 includes a first filter 10 for extracting a heartbeat component, a waveform analysis unit 11 for performing waveform analysis, and a calculation unit 12.

The operation of the above configuration will be described below. When the human body 1 is placed on the mattress 2, the vibration detecting means 3 arranged on the mattress 2 detects a body movement signal resulting from the life activity of the living body. When the signal processing unit 4 amplifies and filters,
It is input to the heartbeat signal processing means 9 provided in the feature analysis means 5, and only the signal in the heartbeat signal band is filtered by the first filter 10. FIG. 5A shows the signal after being processed by the signal processing unit. This signal passes through the first filter 10 and is converted into a signal in the frequency band used as the heartbeat signal, as shown in (b). F in the waveform analysis unit 11
When the configuration is such that FT processing is performed, frequency analysis is performed by FFT, and the frequency showing the highest power among the power values for each frequency is regarded as the heartbeat component. The frequency analysis result is converted into a heart rate by the calculation unit 12 and sent to the determination means 7. The storage means 6 stores a table in which the degree of rest can be determined using the heart rate as an index, and the determination means 7 refers to this table to determine the degree of rest of the input heart rate. This table has, for example, a heart rate of 5
The table corresponds to "rest area" when 0 or more and less than 80, "attention area" when 80 or more and less than 100, and "alarm area" when 100 or more or less than 50. As shown in FIG. 6, when it is determined to be the "rest area", "rest" is notified, and when it is determined to be the "attention area", "attention" is notified. Then, when the heart rate is too high or too low to reach a resting state or a dangerous state, the heart rate is determined to be the "alarm region", and the alarm means 8 outputs an alarm.

Further, in the heartbeat signal processing means 9,
A waveform analysis as described below may be performed. Figure 5
The waveform of the heartbeat component as shown in (b) is extracted by the first filter 10, and a part of this waveform is extracted in (c).
In (c), a signal for two beats is shown. Of these, the amplitude value 1 of the waveform having the largest amplitude and the generation interval t of this waveform are calculated, respectively, and the waveform analysis unit 11 displays them as shown in (d). Convert to time series data. In the calculation unit 12, time series data t1, t2 ,. ． ． ． ． With respect to the above, the variation is calculated, and the variation amount of the occurrence interval is output to the determination means 7. The storage means 6 may be stored with a table capable of determining the degree of rest regarding the variation amount of the occurrence interval. As the calculation in the calculation unit 12 calculates chaos, the storage unit 6 may be provided with a table in which the degree of rest is good if the change is chaotic, and the degree of rest is low if the change is chaotic. Also,
The waveform analysis unit 11 may perform an analysis to calculate the presence / absence of periodicity, and the arithmetic unit 12 may calculate the degree of periodicity and output it to the determination unit 7. In the case of the waveform shown in FIG. 5D, the coefficient of variation of the value of t for a certain period of time is calculated to obtain the periodicity, and the storage unit 6 is provided with a table indicating the rest state based on the presence or absence of the periodicity of the coefficient of variation. The determination means 7 determines the rest level. Further, regarding the calculation of the heart rate, the number of times of generation of waves such as the amplitudes l1 and l2 generated within a fixed time may be counted.

With the above operation, the following effects can be obtained. Since the heartbeat signal processing means 9 is provided, the heartbeat signal of the biological signal is extracted, the resting state is determined by paying attention to the state of the cardiovascular system, and the heart rate is increased or decreased, stopped, or arrhythmia is detected. Since the resting state is determined by detecting the disturbance of the resting state, the determination accuracy can be further improved and the resting state of the cardiovascular system can be known.

Actually, in a restless sleeping situation that requires alarm notification, changes in the heart rate such as rise / decrease, sudden rise / decrease, periodicity changes such as arrhythmia, and clear heartbeat signal cannot be detected. It is possible that the posture is broken. The above processing may be provided according to the definition of the resting state.

Next, a third embodiment will be described. Figure 7
The block diagram of the sleeping state determination apparatus of the third embodiment is shown in FIG. In FIG. 7, 1 is a human body, 2 is a mattress, 3 is a vibration detection means, 4 is a signal processing section, 5 is a characteristic analysis means, 6 is a storage means, 7 is a determination means, and 8 is a notification means. The feature extraction means 5 is provided with a respiratory signal analysis means 13. The breathing signal processing means 13 includes a second filter 14 for extracting a breathing component, a second waveform analyzing section 15 for performing waveform analysis, and a second calculating section 16.

Among the operations of the above configuration, the processing mainly by the feature analysis means 5 will be described below. When the human body 1 comes to bed on the mattress, the vibration detecting means 3 arranged on the mattress 2 detects a body movement signal due to the life activity of the human body. When the signal processing unit 4 amplifies and filters, it is input to the respiratory signal processing unit 13 provided in the feature analysis unit 5, and the second filter 15 filters only the signal in the respiratory signal band. The second waveform analysis unit 15 performs FFT processing and analyzes the frequency. The frequency analysis result is converted into the breathing rate per minute by the second calculation unit 16 and sent to the determination means 7.

The storage means 6 stores a table in which the resting rate can be determined using the respiratory rate as an index, and the determining means 7 refers to this table to determine the resting degree of the input respiratory rate. As shown in FIG. 8, when it is determined to be the "rest area", "rest" is notified, and when it is determined to be the "attention area", "attention" is notified. When the breathing rate is too low to reach a resting state or a dangerous state, the "alarm area" is determined, and the alarming unit 8 outputs an alarm. Regarding breathing, the second aspect of the present invention
You may perform the same process as shown in the said Example.

With the above operation, the following effects can be obtained. Since the respiratory signal processing means 13 is provided, the heartbeat signal of the biological signal is extracted, the resting state is determined by paying attention to the state of the respiratory system, and the respiratory rate is increased or decreased, stopped, apnea or the like. Since the resting state is determined by detecting the disturbance of the resting state, the determination accuracy can be further improved and the resting state of the respiratory system can be known.

Next, a fourth embodiment will be described. Figure 9
The block diagram of the sleeping state determination apparatus of the fourth embodiment is shown in FIG. In FIG. 9, 1 is a human body, 2 is a mattress, 3 is a vibration detection means, 4 is a signal processing section, 5 is a characteristic analysis means, 6 is a storage means, 7 is a determination means, and 8 is a notification means. The feature extraction means 5 is provided with a body movement signal analysis means 17, which has an integrator 18 built therein.

Among the operations of the above configuration, the processing mainly by the feature analysis means 5 will be described below. When the human body 1 comes to bed on the mattress, the vibration detecting means 3 arranged on the mattress 2 detects a body movement signal due to the life activity of the human body. After being amplified and filtered by the signal processing unit 4, it is input to the body movement signal processing unit 17 provided in the feature analysis unit 5, the body movement signal is integrated by the integrator 18, and the integrated value is sent to the determination unit 7. Is output. This integrated value indicates the amount of body movement. The storage means 6 stores a table in which the rest level can be determined by using the body movement amount as an index, and the determination means 7 refers to this table to determine the rest degree of the input body movement amount. FIG.
As shown in 0, when it is determined to be the "rest area", "rest" is notified, and when it is determined to be the "attention area", "attention" is notified. And because the amount of body movement is too small,
When the heart rate reaches a state where the user is not resting or is in a dangerous state, it is determined to be in the "alarm area", and the alarm means 8 outputs an alarm. Further, the rest level may be determined from a body movement generation pattern such as the frequency of body movement or the time period of occurrence.

With the above operation, the following effects can be obtained. Since the body movement signal processing means 17 is provided, the resting state is determined by paying attention to the body movement amount in the biological signal, and the resting state is detected by detecting the seizure, convulsions, and disturbance of the resting state due to the absence of rolling over. Since the determination is performed, the determination accuracy is further increased, and the resting state regarding the whole body exercise can be known. Sleeping situations that require an alarm to inform you about body movements include large body movements that cannot occur in a resting state, body movements that are awake but awake, and a certain frequency during normal times. In the case where there is no rolling over that should have occurred in 1), the whole body's exercise state can be mentioned. With the above configuration, it can be determined that these states are not resting.

Next, a fifth embodiment will be described. FIG.
FIG. 1 shows a block diagram of the sleeping state determination device of the embodiment of FIG. A plurality of vibration detecting means 3a to 3f are prepared and arranged in a bedding in a matrix shape so as to correspond to each part of the human body. In FIG. 11, 1 is a human body, 2 is a mattress,
Reference numeral 4 is a signal processing unit, 5 is a characteristic analysis unit, 6 is a storage unit, and 7 is a storage unit.
Is a determination means, and 8 is a notification means. The storage means 6 is provided with a changing means 19. The feature extraction means 5 is provided with a body movement signal analysis means 17, which has an integrator 18 built therein.

The operation of the above configuration will be described below. Since the vibration detecting means 3a to 3f are arranged on the bedding in a matrix, the body movement can be measured for each part of the body. When the body on the right side of the human body 1 causes body movement, the vibration detection means 3a to 3c detect the vibration caused by the body movement, and the vibrations are integrated by the integrator 18 of the body movement signal processing means 17 and independent for each part. The amount of body movement is calculated as the amount of body movement. With this configuration, the appearance feature of the partial body movement of each body in the resting state is stored in the storage unit 6. However, since the patient receiving the drip in the right hand must pay attention to the movement of the body movement of the right side body, the change means 19 is used to change the normal resting state feature from
The resting state characteristic dedicated to this patient, for example, the value of the body movement amount stored as the right side resting body movement is changed. A slight motion of the body on the right side causes a situation in which the drip injection needle is expected to move. Then, a signal is input from the characteristic analysis means 5 that analyzes the appearance of the body movement on the right side of the body, and in the determination means 7, the rest degree based on the body movement of each body part changed by the changing means 19 is stored in the storage means 6. Since a table for determination is stored, the rest level is determined with reference to this and the notification means 8 notifies it.

The following effects can be obtained by the above operation. Since a plurality of vibration detecting means 3a to 3f are provided and the body movement of a part of the body of the living body is focused on and the body movement that affects the resting state is detected to determine the resting state, The accuracy of the determination can be further improved, and the resting state can be known regarding the partial movement of the body.

Further, by changing the resting state characteristic information stored in the storage means 6 by using the changing means 19, even if the sleeping person or the sleeping condition changes, the contents tailored to each sleeping person,
In addition, the degree of rest can be widely determined because it can be changed according to the change of the medical condition. Further, when used by a healthy person, it can be applied to determine the degree of sleep.

When the information on the heartbeat, respiration and body movement can be measured at the same time, as shown in FIG. 12, the decision means 7 makes a decision by combining the information on the body movement, the heart rate and the respiration rate. It is also possible to improve the accuracy of the determination.

In the present invention, what kind of sleeping state should be rested, the definition of the resting state and the characteristic information stored in the storage means 6 as its characteristic information are related to the effect of the invention.

[0047]

As described above, the state determination device of the present invention is capable of determining whether or not a sleeping person is in bed in a resting state by a minute vibration caused by the life activity of the living body which changes depending on the posture. A signal, for example, a heart pulsation, a respiratory movement, or other visceral movement is detected, a characteristic analysis of the signal output is performed, and a resting state is determined and notified. Unlike electrocardiograms, blood pressure monitors, and respirometers, it is possible to easily monitor the resting state and recovery of anesthesia of a seriously ill patient while the sleeping person is non-invasive and without burdening the sleeping person.

Since the stored contents of the characteristic information of the storage means can be changed by the changing means, even if the sleeping person or the sleeping condition is changed, the contents can be changed according to each sleeping person or the contents according to the change of the medical condition. , Versatile.

Since the heartbeat signal processing means is provided, the heartbeat signal is extracted, the resting state is determined by paying attention to the state of the cardiovascular system, and the resting state due to symptoms such as increase or decrease in heart rate, stoppage, and arrhythmia is detected. Since the resting state is determined by detecting the interference, the determination accuracy can be improved and the resting state of the cardiovascular system can be known.

Since the respiration signal processing means is provided, the respiration signal is extracted, the resting state is determined by paying attention to the state of the respiratory system, and the respiratory rate is increased or decreased, apnea, irregular breathing, etc. Since the resting state is determined by detecting the disturbance of the resting state, the determination accuracy can be further improved and the resting state of the respiratory system can be known. .

Since the body movement signal processing means is provided, the body movement signal is extracted, the resting state is determined by paying attention to the state of the whole body movement, and the resting state is disturbed by seizures, convulsions, and lack of rolling over. Is detected and the resting state is determined,
The accuracy of determination can be further improved, and the resting state regarding the whole body exercise can be known. .

A plurality of vibration detecting means for detecting vibration information is provided for each specific area, and the body movements that affect the resting state are detected by paying attention to the motor function of each body part of the living body. Since the resting state is determined based on the above, the accuracy of the determination can be further improved, and the resting state can be known regarding the partial movement of the body.

[Brief description of drawings]

FIG. 1 is a block diagram of a sleeping state determination device according to a first embodiment of the present invention.

FIG. 2 is an explanatory diagram of a waveform detected by a vibration detecting unit of the device.

FIG. 3 is an explanatory view of rest determination of the device.

FIG. 4 is a block diagram of a sleeping state determination device according to a second embodiment of the present invention.

FIG. 5 is an explanatory diagram of signal processing of heartbeat signal processing means of the device.

FIG. 6 is an explanatory diagram of rest degree determination when calculating the heart rate of the device.

FIG. 7 is a block diagram of a sleeping state determination device according to a third embodiment of the present invention.

FIG. 8 is an explanatory diagram of rest degree determination when calculating the respiratory rate of the device.

FIG. 9 is a block diagram of a sleeping state determination device according to a fourth embodiment of the present invention.

FIG. 10 is an explanatory diagram of rest degree determination when calculating the amount of body movement of the device.

FIG. 11 is a block diagram of a sleeping state determination device according to a fifth embodiment of the present invention.

FIG. 12 is an explanatory diagram of rest degree determination in another embodiment of the present invention.

FIG. 13 is an explanatory diagram of a conventional body movement detecting device.

[Explanation of symbols]

 3a, 3b, 3c, 3d, 3e, 3f Vibration detection means 5 Characteristic analysis means 6 Storage means 7 Judgment means 8 Notification means 9 Heartbeat signal processing means 13 Respiration signal processing means Manual 17 Body movement signal processing means Manual 19 Change means

Claims (6)

[Claims] 1. A vibration detecting means for detecting vibration information of a living body on bedding, a characteristic analyzing means for analyzing characteristic information of an output signal of the vibration detecting means, and a storing means for storing characteristic information of a resting state in advance. From the determination means for comparing the characteristic information analyzed by the characteristic analysis means and the characteristic information stored in the storage means to determine the degree of rest, and the notification means for notifying based on the determination result of the determination means Sleeping state determination device. 2. The sleeping state determination device according to claim 1, further comprising a changing unit that changes the stored contents of the storing unit. 3. The sleeping state determination according to claim 1 or 2, wherein the characteristic analysis means includes a heartbeat signal processing means for extracting a heartbeat signal from the output signal of the vibration detection means and performing a waveform analysis process. apparatus. 4. The sleeping state determination according to claim 1 or 2, wherein the characteristic analyzing means includes respiratory signal processing means for extracting a respiratory signal from the output signal of the vibration detecting means and performing waveform analysis processing. apparatus. 5. The sleep according to claim 1 or 2, wherein the feature analysis means includes a body movement signal processing means for extracting a body movement signal from an output signal of the vibration detection means and performing a waveform analysis process. State determination device. 6. The sleeping state determination device according to claim 1, further comprising a plurality of vibration detection means for independently detecting vibration information for each specific area.