JPWO2016190348A1 - Monitoring device - Google Patents

Abstract

The monitoring device (1) includes a moving body detection unit (11) for detecting the movement of the subject (P), a biological signal detection unit (21) for detecting a biological signal of the subject (P), Based on the information obtained from the moving body detection unit (11), the behavior determination unit (14) for determining the presence or absence of the subject (P) in the predetermined bed area (15a) and the biological signal detection unit (21) A biological signal discriminating unit (25) that discriminates the presence or absence of the biological signal of the subject (P) based on the information. The monitoring device (1) determines the presence / absence of the subject (P) in the bed area (15a) based on both the information determined by the behavior determining unit (14) and the determination by the biological signal determining unit (25).

Description

  The present invention relates to a monitoring device for detecting abnormalities in the health status of residents who spend at nursing care facilities and the like.

  In recent years, monitoring devices have been proposed for detecting abnormalities in the health status of residents living in nursing homes and hospitals. Residents spending in nursing homes, hospitals, etc. may be prone to abnormalities such as falling indoors, falling from bed, breathing and heartbeat. There are caregivers and nurses who support their lives in the facility, but there are relatively few people and they cannot always attend. In order to solve such problems, a monitoring apparatus has been proposed, and examples of related art related thereto are disclosed in Patent Documents 1 and 2.

  The image processing apparatus described in Patent Literature 1 includes an imaging camera for capturing an image of a room and an image processing unit for an image captured by the imaging camera. This image processing apparatus presets a floor area and a bed area in an indoor image taken by an imaging camera, detects a human body movement between the floor area and the bed area, and enters the subject's bed. Determine the floor and getting out of bed. Thereby, it is possible to accurately determine whether the subject enters or leaves the bed.

  The safety monitoring device described in Patent Document 2 acquires biological information related to body movement and breathing of a subject from reflected waves of radio waves radiated toward the subject, and the safety of the subject from the biological information. Is monitoring. This safety monitoring device uses a Doppler sensor that detects and outputs a deviation between a radiated wave using a microwave and a reflected wave thereof to acquire biological information of the subject. This makes it possible to correctly detect the body movement and breathing of the subject.

JP 2002-230533 A JP 2012-75861 A

  However, in the conventional technique described in Patent Document 1, there is a possibility that the apparatus reacts to disturbances such as a curtain that swings around the bed and a shadow caused by light inserted from a window. Thereby, there existed a subject that a misjudgment might arise in a subject's entering the bed and leaving the bed. Moreover, in the prior art described in Patent Document 2, no consideration is given to entering and leaving the subject's bed. Accordingly, there has been a problem that there is a possibility of falsely reporting that the subject is abnormal when the biological information cannot be acquired when the subject is getting out of bed.

  The present invention has been made in view of the above points, and is capable of accurately grasping the presence and biological information of a subject and preferably detecting abnormalities in the health state of the subject. An object is to provide an apparatus.

  In order to solve the above problems, a monitoring apparatus of the present invention includes a moving object detection unit for detecting a motion of a subject, a biological signal detection unit for detecting a biological signal of the subject, and the moving object detection. A behavior determination unit for determining the presence or absence of a subject in a predetermined area based on information obtained from the unit, and a biological signal for determining the presence or absence of a biological signal of the subject based on information obtained from the biological signal detection unit A determination unit, wherein the presence / absence of the subject in the predetermined region is determined based on both information of the determination by the behavior determination unit and the determination by the biological signal determination unit.

  According to this configuration, for example, whether or not the subject exists on the bed in the room of the facility is determined based on information on both the body movement and the biological signal of the subject. The accuracy is improved as compared with the case where the presence / absence of the subject is determined based on the information on one of the body movement and the biological signal of the subject.

  According to the present invention, for example, it is determined whether or not the subject exists in the bed of the living room of the facility based on the information on both the body movement and the biological signal of the subject. It is possible to suppress the influence of disturbance such as curtains. Furthermore, it is possible to clearly grasp the subject's entering and leaving the bed. And it becomes possible to find abnormality of the health condition of a subject suitably.

It is a block diagram which shows the example of application of the monitoring apparatus which concerns on 1st Embodiment of this invention. It is a block diagram of a monitoring device concerning a 1st embodiment of the present invention. It is explanatory drawing which shows the image of the moving body detection part of the monitoring apparatus which concerns on 1st Embodiment of this invention, and the state transition of a subject. It is a graph which shows the output (AD output value) of the biosignal by the biosignal detection part of the monitoring apparatus which concerns on 1st Embodiment of this invention. It is a graph which shows the output (power spectrum) of the biological signal by the biological signal detection part of the monitoring apparatus which concerns on 1st Embodiment of this invention. It is a graph which shows the output (AD output value) of the noise signal by the biological signal detection part of the monitoring apparatus which concerns on 1st Embodiment of this invention. It is a graph which shows the output (power spectrum) of the noise signal by the biological signal detection part of the monitoring apparatus which concerns on 1st Embodiment of this invention. It is a subject's state transition diagram used with the monitoring device concerning a 1st embodiment of the present invention. It is an image of the moving body detection part of the monitoring apparatus which concerns on 1st Embodiment of this invention, Comprising: The state transition to which a subject enters a bed is shown. FIG. 10 is a result image of moving object detection of the monitoring apparatus corresponding to the state transition of FIG. 9 and an output of the biological signal detection unit. It is an image of the moving body detection part of the monitoring apparatus which concerns on 1st Embodiment of this invention, Comprising: A subject leaves the bed and shows the state which the curtain at the time of a bed moved. FIG. 12 is a result image of moving object detection of the monitoring device corresponding to the state transition of FIG. 11 and an output of the biological signal detection unit. It is an image of the moving body detection part of the monitoring apparatus which concerns on 1st Embodiment of this invention, Comprising: A subject enters the bed and shows the state which the curtain at the time of a bed moved. FIG. 14 is a result image of moving object detection by the monitoring apparatus corresponding to the state transition of FIG. 13 and an output of the biological signal detection unit. It is explanatory drawing which shows the discrimination | determination method of the biological signal of the subject who is in the in-bed state by the monitoring apparatus which concerns on 1st Embodiment of this invention. It is explanatory drawing which shows the discrimination | determination method of the test subject's biosignal which transfers to the floor-entry state by the monitoring apparatus which concerns on 1st Embodiment of this invention. It is a block diagram of the monitoring apparatus which concerns on 2nd Embodiment of this invention. It is explanatory drawing which shows the determination method of the biological signal and body movement of a subject by the monitoring apparatus which concerns on 2nd Embodiment of this invention. It is a block diagram which shows the example of application of the monitoring apparatus which concerns on 4th Embodiment of this invention.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

<First Embodiment>
First, a schematic configuration of the monitoring apparatus according to the first embodiment of the present invention will be described with reference to FIG. FIG. 1 is a configuration diagram illustrating an application example of a monitoring apparatus.

  The monitoring device 1 is installed in a nursing facility as shown in FIG. The care facility includes, for example, a staff station 100, a living room 110, and a wired LAN (Local Area Network) 300. In addition, although the room 110 shown in FIG. 1 is two rooms, you may provide many more rooms.

  The staff station 100 is a so-called stuffing station for caregivers who support the lives of the cared people who spend at the care facilities.

  In the living room 110, a bed 111 used by a care recipient is installed. In addition, although one bed 111 is installed in the living room 110 shown in FIG. 1, when two or more care recipients move into the living room 110, a plurality of beds 111 corresponding to each of the care receivers are installed. Is done.

  The wired LAN 300 is installed for communication between the staff station 100 and the living room 110. A wireless LAN may be installed instead of the wired LAN 300.

  The staff station 100 is provided with a server apparatus 101 that is communicably connected to the wired LAN 300. The server device 101 receives various signals from the monitoring device 1 and performs signal processing thereof, and notifies the caregiver and nurse of the facility of the health status of the care recipient. The server apparatus 101 includes a display unit 102 as an example of a notification unit.

  The display unit 102 includes a display device used in a computer such as a display. The display unit 102 displays the room image of the living room 110 received from the monitoring device 1, the biological information of the care recipient, and the like. The display unit 102 may be a display device such as a portable terminal that is owned by a caregiver and linked to the server device 101.

  The monitoring device 1 is installed on the ceiling 110a of each living room 110 in association with the bed 111 of each living room 110, and is communicably connected to the wired LAN 300. In addition, when two or more care recipients (subjects P) move into the living room 110 and a plurality of beds 111 corresponding to each of them are installed, each of the caregivers (subjects P) corresponds individually. A plurality of monitoring devices 1 are installed.

  Next, a detailed configuration of the monitoring device 1 will be described with reference to FIGS. FIG. 2 is a block diagram of the monitoring device 1. FIG. 3 is an explanatory diagram illustrating an image of the moving object detection unit of the monitoring device 1 and a state transition of the subject. 4 and 5 are graphs showing the output of the biological signal (AD output value and power spectrum) by the biological signal detection unit of the monitoring device 1. 6 and 7 are graphs showing noise signal output (AD output value and power spectrum) by the biological signal detection unit of the monitoring device 1.

  As shown in FIG. 2, the monitoring device 1 includes a moving object detection unit 11, a video signal processing unit 12, a biological signal detection unit 21, a sensor signal processing unit 22, a comprehensive determination unit 31, a control unit 32, and time measurement for measuring various times. The unit 33 is provided.

  The moving object detection unit 11 is composed of a camera for detecting the movement and state of the subject by video. The moving object detection unit 11 is installed toward the bed 111 of each living room 110, and images the state of the subject entering the bed 111, getting out of bed, falling, and the like as an image. The moving body detection unit 11 includes a near-infrared light projecting unit (not shown) from which an IR cut filter is removed so that the state of the subject can be imaged even in a dark environment. Moreover, the camera of the moving body detection part 11 can image the whole living room by providing a wide-angle lens.

  The video signal processing unit 12 processes the video signal received from the moving object detection unit 11 and detects a state such as entering or leaving the subject from the video. The video signal processing unit 12 includes an image processing unit 13 and a behavior determination unit 14.

  The image processing unit 13 executes image processing for detecting a region where a motion is seen from an image captured by the moving object detection unit 11. As a moving object detection method by image processing, a method such as a background difference method, a time difference method, a template matching method, an optical flow method, or the like can be applied.

  The behavior discrimination unit 14 discriminates the motion of the moving object detected by the image processing performed by the image processing unit 13. FIG. 3 shows the entire image area 11a imaged by the moving object detection unit 11, and a bed area 15a as a predetermined area, and a boundary area 15b and an outside-bed area 15c as other areas are determined in advance. The bed area 15a as the predetermined area is set using an image of the living room 110 taken when no one is present. For the subject P moving as indicated by arrows in FIG. 3 with respect to the bed area 15a, the boundary area 15b, and the out-of-bed area 15c, the behavior determination unit 14 is obtained from the moving object detection unit 11 via the image processing unit 13. The presence or absence of the subject P in the bed area 15a is determined based on the information. The boundary area 15b between the bed area 15a and the out-of-bed area 15c may not be a wide area but may be a line.

  The biological signal detection unit 21 includes a microwave Doppler sensor for individually detecting a biological signal of a subject by emitting and receiving radio waves. The biological signal detection unit 21 includes a radiation unit and a reception unit (not shown), for example, radiates a microwave of 24 GHz toward the bed 111 of each room 110 and receives a Doppler-shifted reflected wave reflected by the subject. . The biological signal detector 21 detects the respiratory state and heart rate of the subject from the reflected wave.

  4 and 5 show an example of a biological signal detected by the biological signal detector 21. FIG. On the other hand, FIGS. 6 and 7 show examples of noise signals detected by the biological signal detection unit 21. 4 and 6 show output signal waveforms of the biological signal detector 21 when the horizontal axis is time and the vertical axis is AD output value. 5 and 7 show the output signal waveform of the biological signal detector 21 when the horizontal axis is the Doppler frequency and the vertical axis is the power spectrum after Fourier transform.

  The biological signal is a signal detected by the Doppler sensor in accordance with the movement of the body surface synchronized with respiration. Normal human breathing is generally about 15 to 25 times / minute, and a strong peak appears at about 0.3 Hz when the sensor output is subjected to frequency analysis. On the other hand, the noise signal of the Doppler sensor has weak power and little change, so that no clear peak appears. When these waveforms are compared, clearly different characteristics appear, so that the biological signal detection unit 21 can be used to detect the biological signal of the subject.

  The sensor signal processing unit 22 processes the sensor signal received from the biological signal detection unit 21 and detects the presence or abnormality of the subject from the signal data. The sensor signal processing unit 22 includes a signal cutout unit 23, a frequency analysis unit 24, and a biological signal determination unit 25.

  The signal cutout unit 23 cuts out digital data received continuously from the biological signal detection unit 21 in time series for a predetermined relatively short time. As a method for extracting data, for example, the STFT (Short Time Fourier Transform) method can be used. When looking at the presence or absence of breathing at about 0.3 Hz, it is desirable from the viewpoint of coexistence of frequency resolution and time resolution to set the extraction period between 10 seconds and 1 minute. The frequency analysis assumes a repetitive signal of infinite length, and for this purpose, it is common to perform a process of smoothing the end of the data section with a window function. In addition, it is possible to improve the time resolution by overlapping the cut data sections. The overlap is preferably between 1/2 and 1/4 of the data interval. The cutout interval is generally constant, but may be changed every time cutout is performed.

  The frequency analysis unit 24 performs an operation related to frequency analysis on the signal data cut out by the signal cutout unit 23. The calculation of the frequency analysis unit 24 can use an FFT (Fast Fourier Transform) method. Further, a DFT (Discrete Fourier Transform) method, a DCT (Discrete Cosine Transform) method, or a wavelet transform may be used.

  The biological signal discriminating unit 25 discriminates the presence / absence of a biomedical signal from the signal data subjected to the frequency analysis processing by the frequency analyzing unit 24 based on the peak value. The biological signal discriminating unit 25 finds a peak value having the strongest power within the normal frequency range of 0.2 to 0.5 Hz in the power spectrum after the FFT, and sets a preset threshold value (the position of the broken line in FIG. 5). To see if it is greater than When the peak value is larger than the threshold value, the biological signal determination unit 25 determines that there is a biological signal. In other cases, the biological signal determination unit 25 determines that there is no biological signal. For example, when there is no moving object, it is determined that there is no breathing because the power is equal to or lower than the threshold value. Further, when a movement other than a person, for example, only a fan continues to rotate, the power spectrum is distributed at a higher frequency. Thereby, since the peak value is not in the normal range of the respiration frequency, a peak equal to or higher than the threshold does not appear in the normal range of respiration of 0.2 to 0.5 Hz, and it is determined that there is no biological signal. As described above, the biological signal determination unit 25 determines the presence / absence of a biological signal depending on whether or not the peak value with the strongest power within the normal range of 0.2 to 0.5 Hz is greater than a preset threshold value. .

  The comprehensive determination unit 31 receives the respective determination results from the video signal processing unit 12 and the sensor signal processing unit 22, comprehensively determines and determines the state of the subject, and holds the state of the subject. . Furthermore, the comprehensive determination unit 31 generates various signals to be transmitted to the server apparatus 101 regarding the state of the subject.

  The control unit 32 includes a calculation unit, a storage unit, and other electronic components (not shown), and receives information from the moving object detection unit 11 and the biological signal detection unit 21 based on programs and data stored and input in advance in the storage unit. In addition, image processing and signal processing related to detection of the state of the subject are realized by controlling the operations of the components including them, the video signal processing unit 12, the sensor signal processing unit 22, and the comprehensive determination unit 31. Further, the control unit 32 exchanges information with the server apparatus 101.

  Next, a method for determining a state related to the presence or absence of the subject by the monitoring device 1 will be described with reference to FIGS. FIG. 8 is a state transition diagram of the subject used in the monitoring device 1. FIG. 9 and FIG. 10 are images of the moving object detection unit 11 showing the state transition of the subject entering the bed, results of moving object detection, and outputs of the biological signal detection unit 21. FIG. FIG. 11 and FIG. 12 are an image of the moving object detection unit 11, a moving object detection result image, and an output of the biological signal detection unit 21, showing a state where the subject has left the bed and the curtain at the bed moved. FIG. 13 and FIG. 14 are an image of the moving object detection unit 11, a moving object detection result image, and an output of the biological signal detection unit 21 showing a state in which the subject enters the bed and the curtain at the time of bed movement.

  With respect to the state transition of the subject shown in FIG. 8, when the subject P in a bed leaving state enters the boundary area 15 b (see FIG. 3) (see the upper side of FIG. 9), the behavior determination unit 14 is examined as the moving object M. The movement of the person P and the movement of the futon 112 are discriminated (see the upper left side of FIG. 10). After that, when the subject P enters the bed 111, the behavior determination unit 14 determines the entry of the moving object M into the bed area 15a, and the general determination unit 31 confirms that the moving object M is in the “in-bed state”. Determine. The “in-progress state” means an intermediate state in which the subject enters the bed area 15a from the boundary area 15b.

  When the subject P who has been determined that the behavior determination unit 14 is “in the middle of bed” goes to bed (see the lower side of FIG. 9), the movement decreases and the behavior determination unit 14 does not detect the moving object M (FIG. 10). See lower left).

  Here, regarding the discrimination of the biological signal discriminating unit 25, there is a change in response to various movements of each part of the body of the subject P during the movement of the subject P to the bed area 15a. A random signal having a large amplitude is detected (see the upper right side of FIG. 10). In this case, since a specific peak does not appear in a predetermined frequency band (for example, 0.2 to 0.5 Hz), the biological signal determination unit 25 determines that there is no biological signal.

  When the subject P enters the bed 111 and goes to bed, the biological signal determination unit 25 determines that there is a biological signal in response to relatively stable periodic body movements due to rest breathing. The determination result with the presence of the biological signal is received from the sensor signal processing unit 22, and the comprehensive determination unit 31 changes the state of the subject P (moving body M) from the “in-bed state” to the “bed-in state”. The “bed-in state” means that the subject P is sleeping at rest.

  When the biological signal discriminating unit 25 discriminates the disappearance of the biomedical signal in the “flooring state”, the comprehensive judging unit 31 determines that the subject P is in an abnormal state and notifies the server device 101 of the notification to be transmitted. Generate a signal. This notification signal is transmitted to the server apparatus 101, and the abnormality is notified using the display unit 102 or the like.

  11 and 12 show a state in which the curtain C on the bed moves when the subject P is getting out of the bed 111, and erroneously recognizes that the subject P has entered the floor when only the image is discriminated. An example that is easy to do is shown. When the curtain C on the bed moves and enters the bed area 15a (see the lower side in FIG. 11), the action determination unit 14 determines the movement of the curtain C as the moving body M (see the lower left side in FIG. 12). The determination unit 31 determines that the moving object M is in the “in-progress state”.

  However, since the sensor signal processing unit 22 does not detect a biological signal (see the lower right side of FIG. 12), the “in-bed state” is maintained and does not transition to the “in-bed state”. Thereafter, when a biological signal cannot be detected after a predetermined time has elapsed in the “mid-flooring state”, the comprehensive determination unit 31 transitions the state relating to the moving body M to the “leaving state”.

  If the biometric signal is not discriminated and only the video is discriminated, there is a risk that the bed C curtain C moves and enters the bed area 15a, so that it is judged that the user is in the floor, and there is no biosignal thereafter. It is highly possible that the subject P is erroneously notified that the subject P is in an abnormal state. However, in the present embodiment, it is possible to prevent the occurrence of false alarms by the above processing.

  13 and 14 show a state in which the curtain C on the bed moves while the subject P is in the bed 111, and the subject P is in the middle of getting out of the bed only in the image. An example is easily misreported. When the subject C sleeps at bedtime and the curtain C at the bed moves and enters the bed area 15a (see the lower side of FIG. 13), the action determination unit 14 determines the movement of the curtain C as the moving body M. (See the lower left side of FIG. 14), the comprehensive determination unit 31 determines that the moving object M is in the “middle bed leaving state”. “A state in the middle of getting out of bed” means an intermediate state in which the subject leaves the bed area 15a to the boundary area 15b.

  However, since the sensor signal processing unit 22 continues to detect the biological signal (see the lower right side in FIG. 14), the comprehensive determination unit 31 determines that the movement is not continued from the bed leaving the “middle bed leaving state” to “entering”. Return to "floor condition".

  If the biometric signal is not discriminated, and only the video is discriminated, when the curtain C at the bed moves and enters the bed area 15a, the subject P may be judged to be in the middle of getting out of bed, There is a high possibility of misreporting after that. However, in the present embodiment, it is possible to prevent the occurrence of false alarms by the above processing. The same process is performed when only the limb of the subject P enters the boundary area 15b during sleeping.

  In this way, the determination as to whether or not the subject P exists on the bed 111 is made based on information on both the body movement of the subject P and the biological signal. The accuracy is improved as compared with the case where the presence / absence of the subject P is determined based on the information on either the body movement or the biological signal of the subject P. Therefore, it is possible to accurately grasp the presence and biological information of the subject P, and to suitably find abnormalities in the health state of the subject P.

  Next, details of the method for discriminating the biological signal of the subject by the monitoring device 1 will be described with reference to FIGS. 15 and 16. FIG. 15 is an explanatory diagram showing a method for discriminating the biological signal of the subject who is in the flooring state by the monitoring device 1, and FIG. 16 is a method for discriminating the biological signal of the subject who is entering the flooring state by the monitoring device 1. It is explanatory drawing which shows.

  The abnormality in which the biological signal disappears means, for example, a case where the subject stops breathing while sleeping and no body movement can be seen. When detection of a state in which there is no movement of the subject is performed in a predetermined determination period (for example, 10 minutes), it is necessary to comprehensively determine the determination result of the presence or absence of a biological signal in the past 10 minutes. There is.

  There is a time lag until the determination result is finalized. Due to this time lag, there is a possibility that a malfunction may occur when the determination result of the presence / absence of the biological signal is directly linked to the entrance determination using the video by the action determination unit 14. Therefore, in this embodiment, this problem is addressed by the following method for determining the biological signal of the subject.

  The sensor signal processing unit 22 cuts out the sensor signal received from the biological signal detection unit 21 as described above and the frequency analysis unit 24 uses the frequency analysis unit 24 in order to determine the presence / absence of the biological signal in the biological signal determination unit 25. Perform analysis. The sensor signal processing unit 22 executes this series of processes by sequentially overlapping each 1/4.

  FIG. 15 shows a state in which the movement of the body of the subject in the flooring state stops. For example, as shown in FIG. 15, the sensor signal processing unit 22 cuts out a signal for 16 seconds from the sensor signal, and performs a frequency analysis every 4 seconds to obtain a biological signal. Then, the sensor signal processing unit 22 calculates the ratio of the period with the biological signal in a predetermined determination period (for example, 10 minutes) with respect to the biological signal obtained every 4 seconds. As a result, it is possible to make it less susceptible to discrimination errors in a short time. When the ratio of the period with a biological signal decreases and reaches, for example, 50%, the biological signal determination unit 25 determines the disappearance of the biological signal, and the comprehensive determination unit 31 determines that the subject P is in an abnormal state. Then, a notification signal is generated.

  FIG. 16 shows a state before and after the subject P enters the bed. According to FIG. 16, in the state where there is no biological signal before entering the floor (for example, the determination period set to 10 minutes), the generation of the notification signal related to the abnormality is turned on, but the generation of the notification permission signal is turned off. You can see that That is, the notification signal is not transmitted to the server apparatus 101 at this stage. Thus, in a state where there is no biological signal, the notification signal is turned on, and the notification signal related to the abnormality can be transmitted at any time. However, since it is impossible to determine whether the notification signal is due to the subject P being out of bed or the abnormal state of the subject P, the notification signal transmission is permitted. Control is based on the presence or absence of a signal.

  The entrance time is counted from the timing when the subject P enters the entrance state (the timing at which the ratio of the period with the biological signal starts to rise from around 0%). As described above, the ratio of the period with the biological signal in the predetermined discrimination period is calculated, and the sensor signal processing unit 22 executes this series of processes by sequentially overlapping each 1/4. Therefore, although it is 0% at the timing of entering the floor, the ratio of the period with the biological signal gradually increases as the flooring time elapses. When the ratio of the period with the biological signal reaches, for example, 50%, the generation of the notification signal is turned off. Furthermore, generation of the notification permission signal is turned on when the entrance time exceeds a predetermined threshold corresponding to the time when the ratio of the period with the biological signal is 100%. In this way, the threshold for the entry time is set to a value at which neither the notification signal nor the notification permission signal is turned on. In other words, after the notification signal is turned off, the control is performed in association with the threshold of the entrance time so that the notification permission signal is turned on. By controlling in this way, it is possible to suppress the occurrence of false alarms that determine that there is no biological signal immediately after the subject P enters the bed due to the time lag until the determination result is confirmed. . In addition, as shown in FIG. 15, when the ratio of the period with a biological signal becomes less than 50% after reaching 100%, a notification signal is transmitted to the server apparatus 101 as the subject P is in an abnormal state. .

Second Embodiment
Next, a monitoring device according to a second embodiment of the present invention will be described with reference to FIGS. 17 and 18. FIG. 17 is a block diagram of the monitoring device, and FIG. 18 is an explanatory diagram showing a method for discriminating the biological signal and body movement of the subject by the monitoring device. Since the basic configuration of this embodiment is the same as that of the first embodiment described above, the same components as those of the first embodiment are denoted by the same reference numerals and the description thereof is omitted. And

  The monitoring apparatus 1 of 2nd Embodiment is provided with the sensor signal processing part 42 shown in FIG. The sensor signal processing unit 42 includes a first signal cutout unit 43, a frequency analysis unit 24, a biological signal discrimination unit 25, a second signal cutout unit 44, a power analysis unit 45, and a body movement discrimination unit 46. Since the first signal cutout unit 43, the frequency analysis unit 24, and the biological signal determination unit 25 perform the same signal processing as in the first embodiment, the description thereof is omitted here.

  The second signal cutout unit 44 cuts out a signal at a time interval different from that of the first signal cutout unit 43 for detecting a biological signal. The power analysis unit 45 calculates the square sum of the amplitudes of the signals cut out by the second signal cutout unit 44. The body movement determination unit 46 determines that there is body movement when the output from the power analysis unit 45 exceeds a predetermined threshold value.

  In the monitoring apparatus 1 of the second embodiment, regarding the state transition of the subject shown in FIG. 8, when the subject P enters the bed 111, the sensor signal processing unit 42 moves to the bed area 15a based on the sensor signal. The entry of M is determined, and the overall determination unit 31 determines that the moving object M is in the “in-bed-in state”. Further, the video signal processing unit 12 determines the entry of the moving object M into the bed area 15a based on the video of the camera, and the comprehensive determination unit 31 changes the state of the subject P (moving object M) from “in-bed-in state”. Change to "bed-in state".

  As shown in FIG. 18, when the subject P enters the bed, a large body motion is involved, so the sensor signal changes from a state where nothing can be detected to a random waveform having a large power. The second signal cutout unit 44, the power analysis unit 45, and the body movement determination unit 46 detect a change accompanying this large body movement, and the sensor signal processing unit 42 determines the entrance of the subject P into the bed area 15a. Note that the same processing can be realized even when the subject leaves the bed.

  Since the body movement is an event that is shorter in time than a biological signal such as respiration, the time interval of signal extraction by the second signal extraction unit 44 is set to the time of signal extraction by the first signal extraction unit 43 in the case of a biological signal. It is desirable to increase the time responsiveness by setting it shorter than the time interval (see FIG. 18). In particular, since the determination of getting out of bed is an event with a high degree of urgency, it is even more effective to increase time responsiveness.

<Third Embodiment>
Next, a monitoring device according to a third embodiment of the present invention will be described. Since the basic configuration of this embodiment is the same as that of the first and second embodiments described above, the same components as those of the first embodiment are denoted by the same reference numerals and the description thereof is omitted. It shall be.

  The monitoring apparatus 1 of the third embodiment does not provide an order for the determination by the video signal processing unit 12 and the sensor signal processing unit 22 described in the first and second embodiments. In addition, intermediate states such as “intermediate entry state” and “intermediate exit state” may not be explicitly defined, and discrimination based on video and discrimination based on biological signals may be combined as transition conditions for entering and leaving the floor. .

<Fourth embodiment>
Next, a monitoring device according to a fourth embodiment of the present invention will be described with reference to FIG. FIG. 19 is a configuration diagram illustrating an application example of the monitoring apparatus. Since the basic configuration of this embodiment is the same as that of the first and second embodiments described above, the same components as those of the first embodiment are denoted by the same reference numerals and the description thereof is omitted. It shall be.

  In the monitoring device 1 of the fourth embodiment, the biological signal detection unit 21 is installed in the vicinity of the bed 111 independently from the main body of the monitoring device 1 as shown in FIG. For example, wireless communication is used for communication between the main body of the monitoring device 1 and the biological signal detection unit 21.

  Instead of the Doppler sensor, the biological signal detection unit 21 can use a sensor that can capture minute movements such as heartbeat and respiration. In particular, when the biological signal detection unit 21 is used while being fixed to the bed 111, various vibration sensors can be used.

  According to this configuration, since the biological signal detection unit 21 is installed in the vicinity of the bed 111, the biological signal of the subject P is specialized for an event around the bed 111 (for example, movement of the subject P or a futon). Therefore, it is possible to detect the presence / absence of the biological signal of the subject P with high accuracy.

  As in the first to fourth embodiments, the monitoring device 1 includes a moving body detection unit 11 for detecting the movement of the subject P and a biological signal detection unit for detecting the biological signal of the subject P. 21, based on the information obtained from the moving body detection unit 11, the behavior determination unit 14 for determining the presence or absence of the subject P in the predetermined bed area 15 a, and the subject P based on the information obtained from the biological signal detection unit 21 And a biological signal discriminating unit 25 for discriminating the presence or absence of the biological signal. And the monitoring apparatus 1 determines the presence or absence of the subject P in the bed area 15a based on both information of the determination by the action determination unit 14 and the determination by the biological signal determination unit 25.

  According to this configuration, whether or not the subject P exists on the bed 111 of the living room 110 is determined based on information on both the body movement and the biological signal of the subject P. The accuracy of determination can be improved as compared with the case where the presence or absence of the subject P is determined based on information on either the body movement or the biological signal of the subject P. Therefore, it is possible to accurately grasp the presence of the subject P.

  In addition, the monitoring device 1 includes a time measuring unit 33 that measures time, and after determining the presence of the subject P in the bed area 15a, the subject P is subjected to a predetermined determination period (for example, 10 minutes). When the biological signal cannot be detected, it is determined that the subject P is abnormal and a notification signal is output.

  According to this configuration, it is possible to suitably find an abnormality in the health condition of the subject P.

  Then, as in the first embodiment, the action determination unit 14 is an “intermediate state of entering the bed”, which is an intermediate state in which the subject P enters the bed area 15a from the outside, or from the bed area 15a to the outside. The monitoring apparatus 1 discriminates the intermediate state in which the subject P leaves, and the monitoring apparatus 1 discriminates the intermediate state by the behavior discriminating unit 14 and the biological signal of the subject P by the biological signal discriminating unit 25. Based on the presence / absence determination, the presence / absence of the subject P in the bed area 15a is determined.

  Further, as in the second embodiment, the biological signal discriminating unit 25 is in an intermediate state in which the subject P enters the inside from the outside of the bed area 15a, or the inside of the bed area 15a, or from the inside of the bed area 15a. The monitoring apparatus 1 discriminates the intermediate state in which the subject P is leaving in the middle, and the monitoring apparatus 1 discriminates the intermediate state by the biological signal discriminating unit 25 and the subject in the bed area 15a by the behavior discriminating unit 14. Based on the determination of the presence or absence of P, the presence or absence of the subject P in the bed area 15a is determined.

  According to these configurations, it is possible to distinguish between the transition state of entering / leaving by the subject P and the state in which only the curtain C at the bed and the limbs of the subject P are moved. Therefore, it becomes possible to grasp the presence of the subject P more accurately, and it is possible to suppress a false report that the subject P is in an abnormal state.

  The bed area 15a is an arrangement area for the bed 111 of the subject P.

  According to this configuration, it is possible to accurately grasp the entrance and leaving of the subject P with respect to the bed 111.

  The moving object detection unit 11 includes a camera that can capture an image of the bed area 15a.

  According to this configuration, it is possible to accurately detect the movement and state of the subject P with respect to the bed area 15a by the video.

  The biological signal detection unit 21 includes a Doppler sensor that emits and receives microwaves.

  According to this configuration, it is possible to accurately detect the biological signal of the subject P from a remote place by using the microwave.

  Although the embodiments of the present invention have been described above, the scope of the present invention is not limited to these embodiments, and various modifications can be made without departing from the spirit of the invention.

  For example, the camera constituting the moving body detection unit 11 shown in the above embodiment can employ any method as long as it can capture the movement of the subject's body, such as an optical imaging device, an infrared ray, and the like. A two-dimensional imaging device, a three-dimensional imaging device, or the like can be selected.

  INDUSTRIAL APPLICABILITY The present invention can be used in a monitoring device for detecting an abnormality or the like of the health condition of a person spending at a care facility.

DESCRIPTION OF SYMBOLS 1 Monitoring apparatus 11 Moving body detection part 12 Image | video signal processing part 13 Image processing part 14 Behavior discrimination | determination part 21 Biosignal detection part 22, 42 Sensor signal processing part 23 Signal cutout part 24 Frequency analysis part 25 Biological signal discrimination | determination part 31 Comprehensive determination part 32 Control unit 33 Timing unit 43 First signal cutout unit 44 Second signal cutout unit 45 Power analysis unit 46 Body movement determination unit

Claims (8)

A moving object detection unit for detecting the movement of the subject;
A biological signal detector for detecting a biological signal of the subject;
An action discriminating unit for discriminating the presence or absence of a subject in a predetermined area based on information obtained from the moving object detecting unit;
A biological signal discriminating unit that discriminates the presence or absence of a biological signal of the subject based on information obtained from the biological signal detecting unit;
With
A monitoring apparatus characterized in that the presence or absence of a subject in the predetermined region is determined based on both information of the determination by the behavior determination unit and the determination by the biological signal determination unit.   A time measuring unit for measuring time, and after confirming the presence of the subject in the predetermined region, the subject has an abnormality when the biological signal of the subject cannot be detected after a predetermined determination period has elapsed. The monitoring apparatus according to claim 1, wherein the monitoring apparatus determines that the information is present and outputs a notification signal.   The behavior determining unit determines an intermediate state in which the subject enters the inside from the outside of the predetermined region or an intermediate state in which the subject leaves the inside from the inside of the predetermined region, and the intermediate by the behavior determining unit 3. The presence or absence of the subject in the predetermined region is determined based on the determination of the state and the determination of the presence or absence of the biological signal of the subject by the biological signal determination unit. Monitoring device.   The biological signal discriminating unit discriminates an intermediate state in which the subject enters the inside from the outside of the predetermined region, or an intermediate state in which the subject leaves the inside from the inside of the predetermined region, and the biological signal discriminating unit The presence or absence of the subject in the predetermined region is determined based on the determination of the intermediate state and the determination of the presence or absence of the subject in the predetermined region by the behavior determination unit. The monitoring device described in 1.   The monitoring apparatus according to claim 1, wherein the predetermined area is an arrangement area of a bedding of a subject.   The monitoring apparatus according to claim 1, wherein the moving object detection unit includes a camera capable of imaging the predetermined area.   The monitoring apparatus according to claim 1, wherein the biological signal detection unit includes a Doppler sensor that emits and receives radio waves.   The monitoring apparatus according to claim 1, further comprising: a main body part; and the biological signal detection unit installed in the vicinity of the predetermined region independently of the main body part.

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