JP2010273831A - Body movement detector, sleep condition measuring device, method and program for detecting quantity of body movement - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a body movement detector for measuring a person's sleep conditions by detecting major body movements during the person's sleep with the simple construction of the detector. <P>SOLUTION: The body movement detector includes a temperature sensor to detect temperature within a bed, a humidity sensor to detect humidity within the bed, a vibration sensor to detect the vibrations of body movements within the bed, a change quantity calculation means to calculate environmental change quantity in the bed, output values from the vibration sensor, and a body movement quantity calculation means to calculate the body movement quantity on the basis of the environmental change quantity calculated by the change quantity calculation means. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a body motion detection device, a sleep state measurement device, a body motion amount detection method, and a body motion amount detection program for measuring a sleep state by detecting body motion of a human body during sleep.

  Conventionally, in order to accurately determine the sleep state of a sleeper, a hierarchical neural circuit in which a number of layers composed of a plurality of neural elements are combined based on the output of a body motion detecting means for detecting body motion of a human body It has a neural network schematic means that has multiple coupling weight coefficients inside a fixed neural network that estimates the sleep state obtained by a network-simulating method, even if there is inter-individual variation or intra-individual variation There is known a sleep state determination device that can accurately determine a sleep state (see, for example, Patent Document 1).

Japanese Patent No. 2718302

  However, when detecting body movements of a human body during sleep using piezoelectric or air mat type sensors, signal changes due to large body movements during sleep such as turning over are not as good as other biological signals. Since it greatly exceeds the detection range of the A / D conversion circuit, it is difficult to detect a large body movement such as turning over, and there is a problem that it is not possible to easily estimate the sleep state. Moreover, in the apparatus of patent document 1, since it is necessary to arrange | position a sensor etc. on the surface of a mattress, a sensor may contact a human body and may disturb sleep. Further, when the mattress is processed to prevent contact between the sensor and the body, there is a problem that not only the original effect of the mattress is reduced but also the processing cost is increased.

  The present invention has been made in view of such circumstances, and with a simple configuration, by detecting a large body motion of a human body during sleep, a body motion detection device, a sleep state measurement device, which measures a sleep state, It is an object to provide a body movement amount detection method and a body movement amount detection program.

  The present invention relates to a temperature sensor that detects the temperature in the bed, a humidity sensor that detects humidity in the bed, a vibration sensor that detects vibration due to body movement in the bed, the temperature sensor, and the humidity sensor. Based on the output value, a change amount calculating means for calculating the amount of environmental change in the bed, a body movement amount is calculated based on the output value of the vibration sensor and the environment change amount calculated by the change amount calculating means. And a body movement amount calculating means.

  The present invention is characterized in that the temperature sensor and the humidity sensor are mounted inside a comforter of the bed.

  The present invention is characterized in that the vibration sensor is mounted near the head of the human body from the center of the back side of the bedding.

  The present invention is characterized in that the vibration sensor is an air mat sensor.

  The present invention includes the body movement detection device according to any one of claims 1 to 4, wherein when the value of the body movement amount output from the body movement detection device is small, it is determined that the sleep is deep, and the value of the body movement amount is When it is large, it is determined that the sleep is shallow.

  The present invention relates to a body movement amount in a body movement detection device including a temperature sensor that detects a temperature in the bed, a humidity sensor that detects humidity in the bed, and a vibration sensor that detects vibration caused by body movement in the bed. A detection method comprising: a change amount calculating step of calculating an environmental change amount in the bed based on output values of the temperature sensor and the humidity sensor; an output value of the vibration sensor; and a change amount calculating means. A body motion amount calculating step for calculating a body motion amount based on the calculated environmental change amount.

  The present invention operates on a body motion detection apparatus including a temperature sensor that detects a temperature in the bed, a humidity sensor that detects humidity in the bed, and a vibration sensor that detects vibration due to body motion in the bed. A body movement amount detection program for calculating a change amount of an environment in the bed based on output values of the temperature sensor and the humidity sensor, an output value of the vibration sensor, and the change amount The computer is caused to perform a body motion amount calculating step for calculating a body motion amount based on the environmental change amount calculated by the calculating means.

  According to the present invention, attention is paid to the fact that a large change occurs in the temperature and humidity in the bed during a large body movement such as turning over, and the amount of environmental change in the bed is calculated based on the output values of the temperature sensor and the humidity sensor. Since the body movement amount is calculated based on the output value of the vibration sensor and the environmental change amount, the body movement amount can be obtained with a simple configuration without being affected by a small difference in the frequency of occurrence of body movement for each individual. be able to. Moreover, since the sleep state is determined based on the amount of body movement, an effect that the sleep state can be measured with a simple configuration is obtained.

It is a block diagram which shows the structure of one Embodiment of this invention. It is explanatory drawing which shows the state which mounted | wore the temperature sensor 2 and the humidity sensor 3 shown in FIG. 1 in the futon. It is a figure which shows the result of having measured the temperature and humidity in a bed with the temperature sensor 2 and the humidity sensor 3 which are shown in FIG. It is a figure which shows the time change of a body movement signal. It is a figure which shows the time change of the output value of the integral process part 16, the variation calculation part 13, the integral process part 14, and the body movement amount calculation part 17 which are shown in FIG. It is a figure which shows the time change of the parameter | index (LF / HF) of a sympathetic nerve function.

  Hereinafter, a body movement detection device and a sleep state measurement device according to an embodiment of the present invention will be described with reference to the drawings. FIG. 1 is a block diagram showing the configuration of the embodiment. In this figure, the code | symbol 1 is a body movement detection apparatus which detects the body movement of the human body which is sleeping. Reference numeral 2 denotes a temperature sensor that detects the temperature in the bed. Reference numeral 3 denotes a humidity sensor that detects the humidity in the bed. As the temperature sensor 2 and the humidity sensor 3, it is desirable to use a small temperature / humidity data logger. Reference numeral 4 denotes a vibration sensor that detects vibration generated by body movement, and is constituted by an air mat type sensor (air dynamic pressure sensor). Reference numeral 5 denotes a sleep state determination device that inputs a body motion amount output from the body motion detection device 1 and determines a sleep state based on the input value of the body motion amount, and is configured by a computer device such as a personal computer. Reference numeral 6 denotes a body motion amount storage unit that stores the body motion amount value output by the body motion detection device 1 in association with the time.

  The code | symbol 7 is a bed which the human body of the object which measures a sleep state sleeps. Reference numeral 8 denotes a mattress placed on the bed 7, and an air mat type vibration sensor 4 is disposed between the mattress 8 and the bed 7. The vibration sensor 4 is disposed near the head of the human body from approximately the center of the mattress 8 so that the vibration sensor 4 is disposed from the waist of the human body to the chest while the human body is lying down. Reference numeral 9 denotes a comforter, and the temperature sensor 2 and the humidity sensor are mounted on the inner side (human body side). The temperature sensor 2 and the humidity sensor 3 are arranged near the head of the human body from the center of the comforter 9 so as to be arranged around the chest of the human body when the human body is lying down. As shown in FIG. 2, the temperature sensor 2 and the humidity sensor 3 are housed in a cover that is ironed to the inner surface (human body side) of the comforter 9.

  Reference numeral 11 denotes a differentiation processing unit that inputs the output of the temperature sensor 2 and outputs the result of differentiation processing, and is configured by a differentiation circuit. Reference numeral 12 denotes a differentiation processing unit that receives the output of the humidity sensor 3 and outputs the result of differentiation processing, and is configured by a differentiation circuit. Reference numeral 13 denotes a change amount calculation unit that calculates a change amount (environment change amount in the bed) by multiplying the outputs of the two differential processing units 11 and 12, and is configured by a multiplication circuit. Reference numeral 14 denotes an integration processing unit that accumulates and outputs the value of the change amount output from the change amount calculation unit 13, and is configured by an integration circuit. Reference numeral 15 denotes a frequency separation unit that cuts and outputs a low-frequency component (10 Hz or less) of the output value of the vibration sensor 4, and is configured by a high-pass filter. Reference numeral 16 denotes an integration processing unit that accumulates and outputs the output values output from the frequency separation unit 15, and is configured by an integration circuit. Reference numeral 17 denotes a body movement amount calculation unit that calculates a body movement amount by multiplying the output values of the two integration processing units 14 and 16, and is configured by a multiplication circuit. Reference numeral 18 denotes a body movement amount output unit that outputs the value of the body movement amount output from the body movement amount calculation unit 17 to the sleep state determination device 5 via a communication unit such as a LAN (Local Area Network). Reference numeral 19 denotes a timer that outputs time information.

  In addition, between the temperature sensor 2 and the humidity sensor 3, and the body movement detection apparatus 1, you may make it transmit the detected temperature and humidity to the body movement detection apparatus 1 from a sensor using a wireless communication means. In this way, since the wiring between the temperature sensor 2 and the humidity sensor 3 and the body movement detection device 1 can be eliminated, it is possible to prevent the sleeping human body from giving a sense of incongruity. In addition, the sleep determination device can be easily installed.

  Next, operations of the body movement detection device 1 and the sleep state determination device 5 shown in FIG. 1 will be described with reference to FIG. First, the temperature sensor 2 and the humidity sensor 3 measure and output the temperature and humidity in the bed. FIG. 3 shows an example of temporal changes in temperature and humidity in the bed from bedtime to waking up. The detection signals shown in FIG. 3 are input to the two differential processing units 11 and 12. The differential processing unit 11 performs differential processing on the output signal of the temperature sensor 2 and outputs it. In parallel with this, the differential processing unit 12 performs differential processing on the output signal of the humidity sensor 3 and outputs it.

  On the other hand, the vibration sensor 4 measures and outputs the vibration generated by the movement of the human body. The frequency separator 15 receives the output signal of the vibration sensor 4 and cuts and outputs a low frequency component of 10 Hz or less. FIG. 4 shows a time change of a vibration detection signal (body motion signal) due to body motion from sleeping to waking up. The frequency separation unit 15 outputs the body motion signal shown in FIG. The integration processing unit 16 receives a signal output from the frequency separation unit 15 and performs integration processing by accumulating the input signal for 10 minutes and outputs the result. FIG. 5A shows a change over time in the output value of the integration processing unit 16 from bedtime to waking up.

  On the other hand, the change amount calculation unit 13 receives the signals output from the two differentiation processing units 11 and 12, performs multiplication processing, and outputs the result. FIG. 5B shows a time change of the output value of the change amount calculation unit 13 from bedtime to waking up. The integration processing unit 14 receives the signal output from the change amount calculation unit 13 and performs integration processing by accumulating for 10 minutes and outputs the result. FIG. 5C shows a change over time in the output value of the integration processing unit 14 from sleeping to waking up.

  Next, the body motion amount calculation unit 17 receives the signals output from the two integration processing units 14 and 16, multiplies them, and outputs the result. The signal output from the body movement amount calculation unit 17 is a signal indicating the body movement amount. FIG. 5D shows a time change of the output value (body movement amount) of the body movement amount calculation unit 17 from bedtime to waking up.

  The body movement amount calculation unit 17 inputs the output signal to the body movement amount output unit 18, and the body movement amount output unit 18 associates the body movement amount signal with the time information output by the timer 19 and sleeps via communication means. It transmits to the state determination apparatus 5. The sleep state determination device 5 receives the signal indicating the amount of body movement and the time information and stores them in the body movement amount storage unit 6. The sleep state determination device 5 stores the body motion amount stored in the body motion amount storage unit 6 at the time when the value of the body motion amount at the time of sleeping once (from overnight sleeping to waking up) is stored in the body motion amount storage unit 6. The sleep state is determined based on whether or not the value of the amount of movement is greater than a predetermined threshold value. When the amount of body movement is greater than the threshold value, it is determined that there is a large amount of body movement such as turning over and shallow sleep, and when the amount of body movement is less than the threshold value, there is no significant body movement. Judged as a time of deep sleep. And the sleep state determination apparatus 5 outputs this determination result to a display apparatus etc. as a sleep state measurement result.

  The mark “●” shown in FIG. 5D indicates the actual turn-over timing, and the turn-over timing substantially coincides with the time zone exceeding the determination threshold. In addition, FIG. 6 shows temporal changes in the sympathetic nerve function index (LF / HF value) correlated with sleep depth. When the value of LF / HF is large, it is known that the activity of the sympathetic nerve is relatively increased, and when the value of LF / HF is large, it is said that sleep is shallow. It can be seen that even if the LF / HF value is compared with the value of the amount of body movement, the values almost coincide.

  Body movements during sleep include a variety of movements, from small ones where only the fingertips move, to large ones such as bending and stretching legs, and very large ones such as turning over. Since it is known that body movements that appear when sleep is shallow are large body movements such as turning over, if a large body movement such as turning over can be detected, the depth of sleep can be measured. Paying attention to the large changes in temperature and humidity in the bed during large body movements such as turning over, calculate the amount of environmental change in the bed based on the output values of the temperature sensor and humidity sensor, and output the vibration sensor Since the amount of body motion is calculated based on the value and the amount of environmental change, the amount of body motion can be calculated with a simple configuration without being affected by the small difference in the frequency of occurrence of body motion for each individual. In addition, since the sleep state is determined based on the amount of body movement, the sleep state can be measured with a simple configuration.

  In addition, an air dynamic pressure sensor is used as the vibration sensor 4, an air mat is installed under the mattress 8 to measure vibration due to body movement, and the temperature sensor 2 and the humidity sensor 3 in the bed are small temperature and humidity. Using a data logger, installed inside the comforter 9 and measuring the temperature and humidity in the bed during sleep, it is easy to measure body movement and temperature and humidity in the bed without disturbing sleep Can be attached to existing bedding.

  The sleep state determination apparatus 5 is connected to an illuminance sensor that measures the illuminance in the room, a temperature / humidity sensor that measures the temperature and humidity in the room, a volume sensor that measures the volume, and the sleep state and the measured values of these sensors. And the indoor device may be controlled based on the correlation value. For example, if the volume of the room and the sleep state are monitored and the sleep becomes shallow, the volume of the audio equipment is controlled to be reduced, the air conditioning temperature setting in the room and the sleep state are monitored, and the sleep level is adjusted. To control the air conditioning temperature. In this way, the sleeper can be led to deep sleep by controlling the operation of the device in the room according to the depth of sleep.

  In the above description, the change amount calculation unit 13 illustrated in FIG. 1 calculates the change amount by multiplying the outputs of the two differential processing units 11 and 12, but the change amount calculation unit 13 The amount of change may be calculated by adding the outputs of the two differential processing units 11 and 12. The body movement amount calculation unit 17 may also calculate the body movement amount by adding the outputs of the two integration processing units 14 and 16.

  Further, a program for realizing the function of the body motion detection device 1 shown in FIG. 1 is recorded on a computer-readable recording medium, and the program recorded on the recording medium is read into a computer system and executed. You may perform a body movement amount detection process. The “computer system” referred to here is not limited to those including OS and hardware such as peripheral devices, but may be embedded microcomputers. The “computer-readable recording medium” refers to a storage device such as a flexible medium, a magneto-optical disk, a portable medium such as a ROM and a CD-ROM, and a hard disk incorporated in a computer system. Further, the “computer-readable recording medium” refers to a volatile memory (RAM) in a computer system that becomes a server or a client when a program is transmitted via a network such as the Internet or a communication line such as a telephone line. In addition, those holding programs for a certain period of time are also included.

  The program may be transmitted from a computer system storing the program in a storage device or the like to another computer system via a transmission medium or by a transmission wave in the transmission medium. Here, the “transmission medium” for transmitting the program refers to a medium having a function of transmitting information, such as a network (communication network) such as the Internet or a communication line (communication line) such as a telephone line. The program may be for realizing a part of the functions described above. Furthermore, what can implement | achieve the function mentioned above in combination with the program already recorded on the computer system, what is called a difference file (difference program) may be sufficient.

  DESCRIPTION OF SYMBOLS 1 ... Body motion detection apparatus, 11, 12 ... Differential process part, 13 ... Change amount calculation part, 14, 16 ... Integration process part, 15 ... Frequency separation part, 17 ... Body motion amount calculation unit, 18 ... body motion amount output unit, 2 ... temperature sensor, 3 ... humidity sensor, 4 ... vibration sensor, 5 ... sleep state determination device, 6 ... body motion amount Storage unit, 7 ... bed, 8 ... mattress (bedclothes), 9 ... comforter

Claims (7)

A temperature sensor for detecting the temperature in the bed,
A humidity sensor for detecting the humidity in the bed;
A vibration sensor for detecting vibration caused by body movement in the bed;
Based on output values of the temperature sensor and the humidity sensor, a change amount calculating means for calculating an amount of change in the environment in the bed,
A body motion detecting device comprising: a body motion amount calculating means for calculating a body motion amount based on an output value of the vibration sensor and an environmental change amount calculated by the change amount calculating means.   The body temperature detecting device according to claim 1, wherein the temperature sensor and the humidity sensor are mounted inside a comforter of the bed.   The body motion detection device according to claim 1, wherein the vibration sensor is attached to the head of the human body from the center of the back side of the bedclothes.   The body motion detection device according to claim 3, wherein the vibration sensor is an air mat sensor.   5. The body motion detection device according to claim 1, wherein the body motion amount output from the body motion detection device is determined to be deep sleep when the body motion amount value is small, and shallow when the body motion amount value is large. A sleep state measuring apparatus characterized by determining sleep. A body movement amount detection method in a body movement detection apparatus comprising: a temperature sensor that detects a temperature in the bed; a humidity sensor that detects humidity in the bed; and a vibration sensor that detects vibration due to body movement in the bed. And
Based on output values of the temperature sensor and the humidity sensor, a change amount calculating step for calculating an amount of change in the environment in the bed;
A body movement amount detection method comprising: a body movement amount calculation step of calculating a body movement amount based on an output value of the vibration sensor and an environmental change amount calculated by the change amount calculation means. Body movement amount detection that operates on a body movement detection device comprising a temperature sensor that detects a temperature in the bed, a humidity sensor that detects humidity in the bed, and a vibration sensor that detects vibration due to body movement in the bed A program,
Based on output values of the temperature sensor and the humidity sensor, a change amount calculating step for calculating an amount of change in the environment in the bed;
A body movement amount detection program causing a computer to perform a body movement amount calculation step of calculating a body movement amount based on an output value of the vibration sensor and an environmental change amount calculated by the change amount calculation means.

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