WO2016186067A1 - Dispositif et procédé de détection de position d'utilisateur - Google Patents

Dispositif et procédé de détection de position d'utilisateur Download PDF

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Publication number
WO2016186067A1
WO2016186067A1 PCT/JP2016/064436 JP2016064436W WO2016186067A1 WO 2016186067 A1 WO2016186067 A1 WO 2016186067A1 JP 2016064436 W JP2016064436 W JP 2016064436W WO 2016186067 A1 WO2016186067 A1 WO 2016186067A1
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WIPO (PCT)
Prior art keywords
user
bed
load
biological information
information data
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PCT/JP2016/064436
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English (en)
Japanese (ja)
Inventor
佳宜 石橋
宏暢 前澤
Original Assignee
パラマウントベッド株式会社
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Priority claimed from JP2016090916A external-priority patent/JP6706536B2/ja
Application filed by パラマウントベッド株式会社 filed Critical パラマウントベッド株式会社
Publication of WO2016186067A1 publication Critical patent/WO2016186067A1/fr

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb

Definitions

  • the present invention relates to a user position detecting device for detecting the position of a user on a bed in a hospital or a nursing facility.
  • Detecting the position of a user lying on a bed or a care recipient (elderly person) in a hospital or a nursing facility is that the user on the bed is at the end of the bed and is now getting out of bed. This is important in detecting whether or not the user is going to try, or whether he / she has already left the bed and is not on the bed.
  • the position of the user on the bed is detected by installing a load sensor such as a load cell on the pillars arranged at the four corners of the bed and determining the plane geometry of the load from the load applied to the pillar.
  • the center of gravity position is calculated based on the weight distribution, and the position of the user on the bed is detected as the center of gravity position (Patent Document 1 and Patent Document 2). Further, by detecting the position of the center of gravity over time, it is possible to detect the user's action history on the bed.
  • a load sensor may be installed on the actuator to detect this bed load. That is, the electric bed has a carriage frame and a bed frame installed on the carriage frame, and is movable by providing casters at four corners of the carriage frame.
  • a back bottom, a waist bottom, a knee bottom, and a foot bottom are arranged in this order in the longitudinal direction of the bed, and the back bottom moves up and down with the position of the waist bottom as a rotation fulcrum.
  • the knee bottom is configured such that the foot side moves up and down with the position of the waist bottom as the pivot point, and the back bottom and knee bottom can be driven to swing. .
  • the foot bottom moves up and down in conjunction with the swinging of the knee bottom.
  • the base ends of the two drive actuators are swingably supported on the bed frame, and the pistons of the two drive actuators move forward and backward to move the back bottom and knee bottom, respectively. Swing drive. Therefore, by installing a load sensor on the actuator and detecting the load on each bottom that changes depending on the user on the bed, the position of the user can be detected in the same manner as described above.
  • a sheet sensor which is a two-dimensional assembly of pressure sensors in a sheet shape
  • the strength of the pressure acting on the bed can be reduced on the bed.
  • the above-described conventional technology has the following problems.
  • the present invention has been made in view of such a problem, and the cost of equipment such as a sensor is low, and the user's position on the bed and the position of the user can be detected.
  • An object is to provide a detection device and the like.
  • a user position detecting device is installed at a plurality of positions on a bed bottom of a bed, and detects a load at each position as a load signal, and positions of the plurality of force sensors. Based on the load signal, a calculation unit that calculates a gravity center position of a load acting on the bed bottom, and a user detection unit that detects a position of the user on the bed based on the gravity center position; And a biological information data acquisition unit that performs frequency analysis on the load signals detected by the plurality of force sensors and acquires biological information data representing the biological information of the user.
  • the user position detection method is a method for detecting the position of the user by using a plurality of force sensors installed in accordance with the user's body shape at a plurality of positions on the bed bottom of the bed.
  • the plurality of force sensors detecting the load at the position as a load signal, and the load acting on the bed bottom based on the position of the plurality of force sensors and the load signal.
  • the equipment cost is low.
  • the load applied to the bed support is not measured, but the load applied to the bed bottom is measured in association with the measurement point, the load distribution can be measured with high accuracy. For this reason, it is possible to measure the position of the center of gravity indicating the position of the user (the position of the center of gravity of the load acting on the bottom) with high accuracy, and as a result, to detect the position of the user with high accuracy it can. Depending on the load value, it is detected that there is no user on the bed.
  • the load value input from each force sensor can acquire biological information data representing biological information such as a user's breathing or heartbeat on the bed by performing frequency analysis, for example, fast Fourier transform, on the load value. it can.
  • frequency analysis for example, fast Fourier transform
  • the position of multiple force sensors on the bottom can be easily changed and adjusted, so multiple force sensors can be installed at optimal positions according to the user's body shape to efficiently detect the load. it can.
  • the cost of equipment such as a sensor is low, and the presence or absence of the user on the bed and the position of the user can be detected.
  • FFT fast Fourier transform
  • FIG. 1 is an external view of a force sensor 1 used in the user position detection apparatus according to the first embodiment.
  • the sensing unit 8 is provided so as to protrude slightly upward from the sensor body, and the load detected by the sensing unit 8 is transmitted as a load signal to the control unit 10 described later by the four leads 9.
  • the force sensor 1 includes a sensor that measures strain caused by an elastic body, a sensor that measures electric charges generated by the piezoelectric effect, and the like. In any of these measurement principles, the relationship between the magnitude of the force acting on the sensing unit 8 and the output (for example, output voltage) of the force sensor 1 is calibrated in advance.
  • the force sensor 1 is an IC chip and has a lower unit price than a load cell and a pressure sensor sheet. The force sensor 1 has a low failure rate, high reliability, and is easily available.
  • four force sensors 1 are arranged in the vicinity of the four corners of the bed 100.
  • a carriage frame (not shown) is usually installed to make it movable, and a bed frame (not shown) is installed on the carriage frame. ing.
  • the bed frame on the carriage frame is driven up and down by an actuator (not shown).
  • a bed bottom including a back bottom 20, a waist bottom 21, a knee bottom 22, and a foot bottom 23 is arranged in this order in the longitudinal direction of the bed 100.
  • the back bottom 20 is driven to swing around the end on the waist bottom 21 side
  • the knee bottom 22 is driven to swing around the end on the waist bottom 21 side as the swing center.
  • the leg bottom 23 is connected to the knee bottom 22 at mutually adjacent ends, and swings in conjunction with the knee bottom 22.
  • the bottoms of the bed bottoms are not plate-like, and the members 20a (see FIG.
  • the position where the force sensor 1 can be attached is that the bed bottom structure is arranged with an opening between the members 20a extending in the width direction of the bed 100 as described above.
  • the structure of the bed bottom is not limited to the structure having an opening between the members 20a extending in the width direction of the bed 100 as described above, but, for example, the opening is formed in a single plate-like structure.
  • the force sensor 1 can be installed at an arbitrary position by using these openings.
  • the load signals of the force sensors 1a, 1b, 1c, and 1d are input to the input unit 2 of the external control unit 10 through appropriate wiring.
  • the force signal of the force sensor 1 input to the control unit 10 is output from the input unit 2 to the amplifiers 3a, 3b, 3c, and 3d, amplified by these amplifiers, and then input to the calculation unit 4.
  • the value (load value) of the load (the load applied to the force sensor 1) detected by the force sensor 1 is obtained as load data from the load signal of the force sensor 1.
  • the calculation unit 4 is set with calibration data of the signal intensity and the load value of each force sensor 1 (force sensors 1a, 1b, 1c, 1d), and for each force sensor 1, from the load signal, Load data (load value) is corrected. And in the calculating part 4, the position of the gravity center of the load which is acting on the bed bottom is calculated by the calculation method of the weighting of the load with respect to the normal distance.
  • the positions of the four force sensors 1a, 1b, 1c, and 1d on the bed 100 are expressed as XY coordinates (x1, y1), (x2, y2), (x3, y3), (x4, y4), and the load data (load values) are w1, w2, w3, and w4, respectively, the center of gravity position (x0, y0) is expressed by the following mathematical formula 1.
  • the user detection unit 5 grasps the position of the user on the bed 100 based on the position of the center of gravity (x0, y0) calculated by the calculation unit 4, and the position of the user is in the end sitting position of the bed 100. It is determined whether or not. When the average value of the load data w1, w2, w3, w4 (load value) calculated by the calculation unit 4 is smaller than a predetermined threshold (for example, 20 kg), the user detection unit 5 It is determined that the user is not positioned above and is getting out of bed.
  • a predetermined threshold for example, 20 kg
  • the load signal input to the calculation unit 4 is also input to the biological signal detection unit 6 (biological information data acquisition unit).
  • the biological signal detection unit 6 performs fast Fourier transform (FFT) on the load signal and performs frequency analysis.
  • FFT fast Fourier transform
  • FFT fast Fourier transform
  • biological information data representing biological information such as respiration and heartbeat of the living body (user) is obtained as a minute distance variation.
  • the user detection unit 5 has an average value of the load data w1, w2, w3, and w4 (load value) calculated by the calculation unit 4 equal to or greater than the threshold value, the user is present on the bed 100. Even when it is determined that the user is in the end sitting position of the bed 100 based on the center of gravity position (x0, y0) calculated by the calculation unit 4
  • the detection unit 6 does not detect biological information such as breathing and heartbeat as biological information data, there is no user on the bed bottom, and the force sensor 1 uses the load of the load as a load signal. You can see that it is detected.
  • the state of the user on the bed 100 (whether or not he / she is present) is increased. It can be determined with accuracy.
  • User detection information detected (determined) by the user detection unit 5 (whether the user is on the bed 100, whether the user is in the end sitting position of the bed 100, the user Position information (for example, center of gravity position (x0, y0))) and biological information data detected by the biological signal detection unit 6 are transmitted from the output unit 7 by wireless communication to the hospital server. Etc. (not shown) is transmitted to the receiving unit 11 and stored in this hospital server.
  • Etc. (not shown) is transmitted to the receiving unit 11 and stored in this hospital server.
  • the user's position is a predetermined monitoring area (for example, end sitting position), that is, the user transmitted from the user detection unit 5 to the reception unit 11 of the hospital server via the output unit 7.
  • the hospital server determines that the user on the bed 100 is about to leave the bed and asks the hospital server. Alarm is output.
  • position information on the user's bed 100 for example, the position of the center of gravity (x0, y0)
  • biological information data for example, the position of the center of gravity (x0, y0)
  • a monitor not shown connected to the hospital server. You can also.
  • the force sensors 1 (force sensors 1a, 1b, 1c, 1d) respectively installed at four locations on the bed bottom are applied to the positions.
  • the load is detected as a load signal.
  • the calculating part 4 acquires the load data w1, w2, w3, w4 showing a load value from the load signal from four force sensors 1 (force sensors 1a, 1b, 1c, 1d), and those loads.
  • the gravity center position (x0, y0) of the load acting on the bed bottom is calculated.
  • the user detection unit 5 detects the position of the user on the bed 100 based on the barycentric position (x0, y0), and determines whether or not the user is in the end sitting position. This determination result is based on the user detection information (whether the user is on the bed 100, whether the user is in the end sitting position of the bed 100, the position of the user on the bed 100).
  • the position information to be expressed (for example, the center of gravity position (x0, y0))) is output from the output unit 7 to the hospital server or the like. As a result, an alarm is issued to the nurse or caregiver.
  • load signals from force sensors 1 (force sensors 1a, 1b, 1c, and 1d) installed at four locations on the bed bottom are also input to the biological signal detection unit 6 via the calculation unit 4. Then, the biological signal detection unit 6 performs a fast Fourier transform on the load signals from the four force sensors 1 (force sensors 1a, 1b, 1c, and 1d) and performs frequency analysis, so that the minute signals included in those load signals are detected. From the vibration, biological information data representing biological information such as breathing and heartbeat of the user on the bed 100 can be acquired.
  • the average value of the load data w1, w2, w3, w4 (load value) has a specific threshold value (for example, 20 kg) in the state where the biological information data is detected (acquired) in the control unit 10 or in the hospital server. When it exceeds, it is determined that there is a living body (user) on the bed 100. In addition, when the average value of the load data w1, w2, w3, and w4 (load value) exceeds the threshold value, but the biological information data (respiration and heartbeat) cannot be acquired, the living body (user) is placed on the bed 100. It can be determined that an object such as a luggage is placed on the bed 100.
  • a specific threshold value for example, 20 kg
  • the force sensor 1 that is supplied as an IC chip and is easily available is used. Therefore, the sensor is inexpensive, the installation cost is low, and the force sensor 1 is placed at an arbitrary position on the bed bottom.
  • the number of sensors can be arbitrarily set according to the required detection accuracy, and the force sensor 1 can be installed at an arbitrary position according to the body shape (height, etc.) of the user. Therefore, the detection accuracy can be increased.
  • the position and the number of installed sensors can be set in accordance with the physical ability (ADL: Activity Daily Living) for each user on the bed 100, the detection accuracy can be similarly increased.
  • the center of gravity (x0, y0) can be detected with high accuracy, and the biological information data can also be acquired, so that the position of the user on the bed 100 can be determined. Whether it is in the end sitting position or the like can be detected with high accuracy, and in combination with biological information data, by determining the presence or absence of the user on the bed 100 with high accuracy without erroneous determination, Staying in bed or getting out of bed can be determined. Further, based on the position of the user on the bed 100 obtained from the center of gravity position (x0, y0) and the biological information data, not only the position of the user but also the sleeping posture on the bed 100 is roughly determined. can do.
  • the number of times of turning and the like can be determined based on the movement locus of the center of gravity (x0, y0) (history of the center of gravity (x0, y0)). Furthermore, based on the biological information data, it is possible to determine a medical condition or the like of a user who is a patient or a care recipient (elderly person), and stable monitoring is possible.
  • the force sensor 1 can detect the load by projecting only the sensing part 8 onto the bed bottom, so that the user lying on the mattress can feel uncomfortable or uncomfortable due to the sensor. There is no sense of incongruity.
  • the number of force sensors 1 is not limited to four, and may be arbitrarily set according to the required detection accuracy or detection purpose, such as three.
  • FIG. 6 is a diagram showing the load signal SG.
  • the load signal SG represents a signal level detected by the force sensor 1, and includes a signal SG1 of a component that does not change with time (DC component) and a signal SG2 of a component that changes with time (AC component).
  • the DC component signal SG1 represents the value (load value) of the load (the load applied to the force sensor 1) detected by the force sensor 1, and is represented by load data w1, w2, w3, w4 (hereinafter, load data in FIG. 6). D10).
  • the AC component signal SG2 corresponds to biological information data (hereinafter referred to as biological information data D20 in FIG. 6).
  • FIG. 7 is a diagram showing a spectrum distribution when the load signal SG of FIG. 6 is subjected to frequency analysis, for example, fast Fourier transform (FFT).
  • the spectral distribution includes a spectral component SC10 corresponding to the load data D10, a spectral component SC21 corresponding to respiration of the biological information data D20, and a spectral component SC22 corresponding to the heartbeat of the biological information data D20.
  • the spectral component SC10 represents the zero frequency and its neighboring components.
  • frequency analysis such as discrete Fourier transform (DFT) may be used in addition to the FFT.
  • FIG. 8 is a diagram showing an AC component signal SG2 of the load signal SG of FIG.
  • the AC component signal SG2 is obtained by cutting the spectral component SC10 (zero frequency) of FIG. 7 from the load signal SG of FIG. That is, the AC component signal SG2 is obtained by cutting the DC component signal SG1 from the load signal SG of FIG.
  • the DC component signal SG1 is usually a signal derived from a living body, but if there is no AC component signal SG2, it means that the DC component signal SG1 does not originate from a living body. That is, it means that the load applied to the force sensor 1 is not by the user, but is an object placed on the mattress on the bed bottom of the bed frame.
  • FIG. 9 is a diagram showing biometric information data D21 representing respiration (for example, the cycle is 10 to 30 times per minute) in the signal SG2 of the alternating current component of the load signal SG of FIG.
  • the biological information data D21 representing respiration is obtained by cutting the spectral component SC22 of FIG. 7 from the AC component signal SG2.
  • FIG. 10 is a diagram showing biological information data D22 representing a heartbeat (for example, a cycle of 20 to 200 times per minute) in the signal SG2 of the alternating current component of the load signal SG of FIG.
  • the biological information data D22 representing the heartbeat is obtained by cutting the spectral component SC21 of FIG. 7 from the AC component signal SG2.
  • the user position detection device is installed at a plurality of positions on the bed bottom of the bed 100 (for example, two positions on the bottoms 20 and 23, respectively), and loads at the positions are loaded.
  • a plurality of force sensors 1 force sensors 1a, 1b, 1c, 1d and positions (x1, y1), (x2, y2), (x3, y3) of the force sensors 1a, 1b, 1c, 1d) detected as the signal SG ), (X4, y4) and the load signal SG, based on the gravity center position (x0, y0) and the calculation unit 4 that calculates the gravity center position (x0, y0) of the load acting on the bed bottom.
  • the user detection unit 5 that detects the position of the user on the bed 100 and the load signal SG detected by the force sensors 1a, 1b, 1c, and 1d are frequency-analyzed to analyze the user's biological information.
  • the biometric information data acquisition unit 6 that acquires the biometric information data D20 representing the above-described structure
  • the cost of equipment such as a sensor is low. It is low, and the presence or absence of the user on the bed 100 and the position of the user can be detected.
  • the biological information data D20 is acquired from the load signal SG, but if the load data D10 cannot be acquired from the load signal SG, it is expected that the user is about to fall from the bed 100. Further, when the load data D10 is acquired from the load signal SG, but the biological information data D20 cannot be acquired from the load signal SG, a heavy load is placed on the bed 100. For this reason, in the user position detection apparatus according to the first embodiment, since a person is distinguished from an object, it is possible to prevent erroneous determination such as determining an object as a user.
  • the biometric information data acquisition unit ( The biological signal detection unit 6) acquires the biological information data D20 representing the biological information of the user, thereby confirming whether the user is present.
  • the biological information data D20 when the biological information data D20 is acquired, it means that the biological body (user) is on the bed 100. Therefore, in the user position detection device according to the second embodiment, when the biological information data D20 is acquired, the user detection unit detects the position of the user on the bed 100 based on the center of gravity position (x0, y0). Is detected.
  • FIG. 11 is a diagram for explaining the entire system to which the user position detection apparatus 200 according to the second embodiment is applied.
  • the user position detection device 200 according to the second embodiment is provided on the bed 100.
  • the bed 100 includes a carriage frame 101 for enabling movement, a bed frame 102, a bed bottom 103, a mattress 104, and support legs 105 and 106.
  • the bed frame 102 on the carriage frame 101 is driven up and down by an actuator (not shown).
  • One end and the other end of the carriage frame 101 are supported by support legs 105 and 106, respectively.
  • One end of the carriage frame 101 corresponds to the side (head side) of the user 300 facing the head when the user 300 is lying on the bed 100.
  • the other end of the carriage frame 101 corresponds to the side (foot side) on which the foot of the user 300 faces in the state where the user 300 lies on the bed 100.
  • the user position detection device 200 includes a main body 210 of the user position detection device 200 and a plurality of force sensors 301.
  • the plurality of force sensors 301 correspond to the force sensor 1 in the first embodiment.
  • the plurality of force sensors 301 are referred to as force sensors 301a, 301b, 301c, and 301d.
  • the force sensors 301a, 301b, 301c, and 301d are connected to the main body 210 of the user position detecting device 200 through signal lines.
  • the force sensors 301a, 301b, 301c, and 301d are sensors that can measure a load.
  • the force sensors 301a, 301b, 301c, and 301d are detachably attached to a plurality of positions of the bed bottom 103, and the force sensors 301a, 301b, 301c, and 301d, respectively, in the same manner as the force sensors 1a, 1b, 1c, and 1d in the first embodiment. It is installed according to the body shape.
  • the force sensors 301a, 301b, 301c, and 301d each detect the load at that position as a load signal SG (see FIG. 6).
  • the load signal SG includes a signal SG1 (see FIG. 6) of a component that does not change over time (DC component) (see FIG. 6) and a signal SG2 (see FIG. 6) of a component that changes over time (AC component).
  • the load signals SG detected by the force sensors 301a, 301b, 301c, and 301d are referred to as load signals SGa, SGb, SGc, and SGd, respectively.
  • the user position detection device 200 is connected to another device (output destination 400) via a network.
  • the output destination 400 corresponds to the receiving unit 11 such as a hospital server in the first embodiment.
  • examples of the output destination 400 include a terminal device 410 and a mobile terminal device 420.
  • the mobile terminal device 420 is connected to a network via an access point (AP) 430.
  • AP access point
  • the terminal device 410 is a terminal device provided in a nurse station or a management room. Even when the terminal device 410 is away from the user position detection device 200, it receives user detection information INF, which will be described later, from the user position detection device 200, so that the staff of the nurse station or management room (nurse, assistance staff, etc.) ) Can grasp the state of the user 300 (being out of bed or being in bed).
  • the mobile terminal device 420 is a terminal device that can be wirelessly connected to, for example, a LAN (Local Area Network). Even if the mobile terminal device 420 is separated from the user position detection device 200, the user (information nurse or assistant staff) who is not in the nurse station or the management room receives the user detection information INF from the user position detection device 200. Etc.) can grasp the state of the user 300 (being out of bed or being in bed).
  • the user 300 is provided with an operation unit (remote controller) (not shown).
  • the operation unit is used when the user 300 or a staff (such as a nurse or an assistance staff) adjusts the height of the bed frame 102 (the height of the bed on which the user 300 of the bed 100 sleeps).
  • FIG. 12 is a schematic diagram showing the arrangement of the force sensors 301a, 301b, 301c, and 301d on the bed 100 in the user position detection apparatus according to the second embodiment.
  • the bed 100 further includes a bedside rail 107.
  • the bedside rail 107 is a detachable fence for preventing the user 300 from falling.
  • the bedside rail 107 is installed at an end of the four ends of the carriage frame 101 where the support legs 105 and 106 are not provided.
  • the force sensor 301a, 301b, 301c, 301d are installed at coordinates (x1, y1), (x2, y2), (x3, y3), (x4, y4), respectively.
  • the X coordinate values x1, x2, x3, and x4 are different from each other, and the Y coordinate values y1, y2, y3, and y4 are different from each other.
  • FIG. 13 is a block diagram showing the configuration of the user position detection apparatus 200 according to the second embodiment.
  • the main body 210 of the user position detection device 200 includes a control unit 220, a storage unit 230, an input unit 240, a load data acquisition unit 250, a biological information data acquisition unit 260, a calculation unit 270, and a user detection. Part 280 and an output part 290.
  • the control unit 220 is a functional unit for controlling the entire user position detection device 200.
  • the control unit 220 implements various functions by reading and executing various computer programs (hereinafter referred to as programs) stored in the storage unit 230, and is configured by, for example, a CPU (Central Process Unit). ing.
  • programs stored in the storage unit 230, and is configured by, for example, a CPU (Central Process Unit). ing.
  • CPU Central Process Unit
  • the storage unit 230 is a functional unit in which various programs and various data necessary for the operation of the user position detection device 200 are stored.
  • the storage unit 230 includes, for example, a semiconductor memory, an HDD (Hard Disk Drive), or the like.
  • the storage unit 230 stores set load data D10th representing a predetermined threshold value.
  • the storage unit 230 stores a coordinate table 232.
  • FIG. 14 is a diagram showing a coordinate table 232 of the user position detection apparatus 200 according to the second embodiment.
  • the coordinate table 232 usable areas AR used by the user 300 on the bed 100 and force sensors 301a, 301b, 301c, and 301d are installed as plane coordinates of the bed bottom 103 when the bed 100 is viewed from above.
  • the data indicating the X coordinate and the Y coordinate are stored for each position and the monitoring area ARmt.
  • the usable area AR is associated with the minimum value “0” of the X coordinate, the maximum value “xmax” of the X coordinate, the minimum value “0” of the Y coordinate, and the maximum value “ymax” of the Y coordinate. It has been.
  • the force sensor 301a is associated with an X coordinate value “x1” and a Y coordinate value “y1” as the position of the force sensor 301a.
  • an X coordinate value “x2” and a Y coordinate value “y2” are associated with the force sensor 301b.
  • the X coordinate value “x2” is larger than the value “x1”
  • the Y coordinate value “y2” is larger than the value “y1”.
  • an X coordinate value “x3” and a Y coordinate value “y3” are associated with the force sensor 301c.
  • the value “x3” of the X coordinate is larger than the value “x1” and smaller than the value “x2”.
  • the Y coordinate value “y3” is greater than the value “y2”.
  • an X coordinate value “x4” and a Y coordinate value “y4” are associated with the force sensor 301d.
  • the X coordinate value “x4” is greater than the value “x2”
  • the Y coordinate value “y4” is greater than the value “y3”.
  • the monitoring area ARmt is associated with the minimum value “xmt” of the X coordinate, the maximum value “xmax” of the X coordinate, the minimum value “0” of the Y coordinate, and the maximum value “ymax” of the Y coordinate.
  • the value “xmt” of the X coordinate is larger than the value “x4”.
  • the monitoring area ARmt is an area representing the end seat of the bed 100 in the usable area AR.
  • the input unit 240 inputs load signals SGa, SGb, SGc, and SGd detected by the force sensors 301a, 301b, 301c, and 301d.
  • the input unit 240 corresponds to the input unit 2 and the amplifiers 3a, 3b, 3c, and 3d in the first embodiment.
  • the load data acquisition unit 250 uses, as load data D10 (see FIG. 6), a signal SG1 (see FIG. 6) of a component that does not change over time from the load signals SGa, SGb, SGc, and SGd input by the input unit 240. get.
  • the load data D10 acquired by the load data acquisition unit 250 from the load signals SGa, SGb, SGc, and SGd are referred to as load data w1, w2, w3, and w4, respectively.
  • the load data w1, w2, w3, and w4 may be directly acquired from the load signals SGa, SGb, SGc, and SGd instead of the DC component signal SG1.
  • the load data acquisition unit 250 outputs the load data w1, w2, w3, and w4 to the calculation unit 270 and the user detection unit 280.
  • the biological information data acquisition unit 260 corresponds to the biological signal detection unit 6 in the first embodiment.
  • the biological information data acquisition unit 260 converts the signal SG2 (see FIG. 6) of the time-varying component from the load signals SGa, SGb, SGc, and SGd input by the input unit 240 into the biological information data D20 (see FIG. 6). ) Get as.
  • the biological information data D20 acquired by the biological information data acquisition unit 260 from the load signals SGa, SGb, SGc, and SGd are referred to as biological information data b1, b2, b3, and b4, respectively.
  • the biological information data acquisition unit 260 outputs the biological information data b1, b2, b3, and b4 to the calculation unit 270 and the user detection unit 280.
  • the calculation unit 270 corresponds to the calculation unit 4 in the first embodiment.
  • the calculation unit 270 receives the load data w1, w2, w3, and w4 from the load data acquisition unit 250, and receives the biological information data b1, b2, b3, and b4 from the biological information data acquisition unit 260.
  • the calculation unit 270 recognizes that the biological information data b1, b2, b3, b4 has been acquired. That is, when the biometric information data b1, b2, b3, and b4 are acquired, it indicates that the living body (user 300) is present on the bed 100.
  • the calculation unit 270 uses the coordinates (x1, y1), (x2, y2) of the force sensors 301a, 301b, 301c, 301d registered in the coordinate table 232 as the positions of the force sensors 301a, 301b, 301c, 301d. ), (X3, y3), (x4, y4).
  • the calculation unit 270 includes the positions (x1, y1), (x2, y2), (x3, y3), (x4, y4) of the force sensors 301a, 301b, 301c, 301d and the load data w1, w2, w3, w4. Based on the above, the gravity center position (x0, y0) of the load acting on the bed bottom 103 is calculated.
  • the value “y0” of the Y coordinate of the gravity center position (x0, y0) is obtained by xy3 + w4 ⁇ y4) / 4.
  • the calculation unit 270 outputs data representing the gravity center position (x0, y0) to the calculation unit 270 and the user detection unit 280.
  • the user detection unit 280 corresponds to the user detection unit 5 in the first embodiment.
  • the user detection unit 280 receives the load data w1, w2, w3, and w4 from the load data acquisition unit 250, and receives the biological information data b1, b2, b3, and b4 from the biological information data acquisition unit 260.
  • the user detection unit 280 receives data representing the gravity center position (x0, y0) from the calculation unit 270.
  • the user detection unit 280 is on the bed 100. Is recognized as the user 300. That is, it recognizes that the user 300 is present on the bed 100.
  • the user detection unit 280 refers to the coordinates (xmt, y0), (xmax, y0), (xmt, ymax), (xmax, ymax) of the monitoring area ARmt registered in the coordinate table 232.
  • the position of the user 300 on the bed 100 is detected based on the barycentric position (x0, y0).
  • the user detection unit 280 determines whether or not the center of gravity position (x0, y0) is included in the monitoring area ARmt. As a result of the determination, when the center of gravity position (x0, y0) is included in the monitoring area ARmt, the user detection unit 280 indicates that the user 300 is in the end sitting position as the position of the user 300 on the bed 100. Is detected.
  • the user detection unit 280 outputs user detection information INF to the output unit 290.
  • the user detection information INF indicates whether or not the user 300 is present on the bed 100, whether or not the position of the user 300 is in the end sitting position of the bed 100, and the position of the user 300 on the bed 100.
  • the position information to be represented (for example, the center of gravity position (x0, y0)) is included.
  • the user detection information may include load data w1, w2, w3, and w4 and biological information data b1, b2, b3, and b4.
  • the output unit 290 corresponds to the output unit 7 in the first embodiment.
  • the output unit 290 receives user detection information INF from the user detection unit 280.
  • the output unit 290 outputs the user detection information INF to the output destination 400 (the terminal device 410 and the mobile terminal device 420).
  • the output destination 400 receives the user detection information INF from the user position detection device 200, the staff of the nurse station or the management room (nurse, assistance staff, etc.) It is possible to know whether or not the user 300 is on the floor 100, whether or not the position of the user 300 is in the end sitting position of the bed 100, and the like.
  • FIG. 15 is a flowchart showing the operation of the user position detection apparatus 200 according to the second embodiment.
  • the calculation unit 270 confirms whether the biological information data acquisition unit 260 has acquired the biological information data b1, b2, b3, b4. That is, it is confirmed whether or not a living body is present on the bed 100 (step S201).
  • step S201 is executed until the biological information data acquisition unit 260 acquires the biological information data b1, b2, b3, b4.
  • the biological information data acquisition unit 260 acquires the biological information data b1, b2, b3, and b4, the living body is on the bed 100 (step S201—Yes).
  • the arithmetic unit 270 receives the biometric information data b1, b2, b3, and b4 from the biometric information data acquisition unit 260, and receives the load data w1, w2, w3, and w4 from the load data acquisition unit 250.
  • the calculation unit 270 calculates the load data w1, w2, w3, w4 and the positions (x1, y1), (x2, y2), (x3, y3), (x4, y4) of the force sensors 301a, 301b, 301c, 301d. Based on the above, the gravity center position (x0, y0) of the load acting on the bed bottom 103 is calculated (step S202).
  • the user detection unit 280 receives the load data w1, w2, w3, w4 from the load data acquisition unit 250, receives the biological information data b1, b2, b3, b4 from the biological information data acquisition unit 260, and calculates the calculation unit. Data representing the centroid position (x0, y0) is received from 270.
  • the user detection unit 280 determines whether or not the average value D10av of the values (load values) represented by the load data w1, w2, w3, and w4 exceeds the value (threshold value) represented by the set load data D10th. To do. That is, it is confirmed whether or not the living body on the bed 100 is the user 300 (step S203).
  • the living body on the bed 100 is the user 300. It is not (Step S203-No). That is, the user 300 may be getting out of bed.
  • the user detection unit 280 determines that the user 300 has left the floor as the state of the user 300, and generates user detection information INF indicating that the user 300 has left the floor (step S205).
  • the output unit 290 outputs the user detection information INF (the bed leaving the user 300) to the output destination 400 (the terminal device 410, the mobile terminal device 420) (step S208).
  • the output unit 290 outputs the user detection information INF (leaving the user 300) to the terminal device 410 in the nurse station or the management room, thereby indicating that the user 300 is getting out of bed. Notify staff (nurses, assistance staff, etc.) at nurse stations and management rooms.
  • the output unit 290 outputs the user detection information INF (getting out of the user 300) to the mobile terminal device 420 to indicate that the user 300 is getting out of bed. Notify nurses and assistance staff). Thereafter, step S201 is executed.
  • step S203 determines whether the barycentric position (x0, y0) is included in the monitoring area ARmt (step S204).
  • the user detection unit 280 determines the presence of the user 300 as the state of the user 300, and generates user detection information INF indicating that the user 300 is present (step S206).
  • the output unit 290 outputs the user detection information INF (the presence of the user 300) to the output destination 400 (the terminal device 410, the mobile terminal device 420) (step S208).
  • the output unit 290 outputs the user detection information INF (the presence of the user 300) to the terminal device 410 in the nurse station or the management room, thereby indicating that the user 300 is present.
  • the output unit 290 outputs the user detection information INF (the presence of the user 300) to the mobile terminal device 420, so that the user 300 is not present in the nurse station or the management room. Notify staff (such as nurses and assistance staff). Thereafter, step S201 is executed.
  • the user detection unit 280 determines the end sitting position as the state of the user 300, and generates user detection information INF indicating that the user 300 is about to get out of the bed (step S207).
  • the output unit 290 outputs the user detection information INF (the end position of the user 300) to the output destination 400 (the terminal device 410, the portable terminal device 420) (step S208).
  • the output unit 290 outputs the user detection information INF (the end sitting position of the user 300) to the terminal device 410 in the nurse station or the management room, thereby indicating that the user 300 is about to leave the bed. , Notify the staff (nurses, assistance staff, etc.) in the nurse station and management room.
  • the output unit 290 outputs the user detection information INF (end sitting position of the user 300) to the mobile terminal device 420 to indicate that the user 300 is about to get out of bed, or a staff who is not in the nurse station or the management room. Notify (nurses, assistance staff, etc.). Thereafter, step S201 is executed.
  • the user position detection device is installed at each of the plurality of positions of the bed bottom 103 of the bed 100, and the load at that position is represented by the load signal SG (load signals SGa, SGb, SGc, Change over time from a plurality of force sensors 301 (force sensors 301a, 301b, 301c, 301d) detected as SGd) and load signals SGa, SGb, SGc, SGd detected by the force sensors 301a, 301b, 301c, 301d.
  • the load signal SG load signals SGa, SGb, SGc, Change over time from a plurality of force sensors 301 (force sensors 301a, 301b, 301c, 301d) detected as SGd) and load signals SGa, SGb, SGc, SGd detected by the force sensors 301a, 301b, 301c, 301d.
  • the load signal acquisition unit 250 that acquires the signal SG1 of the component not to be used as the load data D10 (load data w1, w2, w3, w4) and the load signals SGa, SGb, SGc detected by the force sensors 301a, 301b, 301c, 301d , SGd frequency analysis, load signal
  • a biological information data acquisition unit that acquires, as the biological information data D20 (biological information data b1, b2, b3, b4) representing the biological information of the user 300, the signal SG2 of the time-varying component from Ga, SGb, SGc, SGd.
  • the user detection unit 280 for detecting the position of the user 300 on the bed 100, and the detection result (user detection information INF) of the user detection unit 280.
  • An output unit 290 that outputs to the destination 400, which comprises a.
  • the user detection unit 280 includes the barycentric position (x0, y0) in the monitoring area ARmt representing the end seat of the bed 100 in the usable area AR used by the user 300 on the bed 100. If the user 300 is on the bed 100, it is detected that the user 300 is in the end sitting position. Thereby, in the user position detection apparatus according to the second embodiment, the cost of equipment such as sensors is low, and the presence or absence of the user 300 on the bed 100 (the presence of the user 300, the leaving of the bed, the end sitting position) ) And the position of the user 300 can be detected.
  • the biological information represented by the biological information data is breathing or heartbeat of the living body (user) (see FIGS. 6 to 10), but is not limited thereto, and may be body movement, for example.
  • the body movement represents the movement of all living bodies (users) when sleeping.
  • An example of the movement of the living body (user) when sleeping is turning over.
  • the biological information data is determined by the spectral component (frequency) representing the breathing and heartbeat of the living body (user) (see FIGS. 6 to 10), but is not limited thereto.
  • it may be the respiration of a living body (user) and the magnitude and strength of a heartbeat.
  • the size and strength are, for example, signal levels as shown in FIGS.
  • the signal level is represented by a voltage value.
  • the signal level represents biological information such as respiration and heartbeat of the living body (user).
  • the user detection unit 280 determines the end sitting position as the state of the user 300, and the user 300 leaves the bed.
  • User detection information INF indicating that it is going to be output is output to the output destination 400 (terminal device 410, portable terminal device 420) via the output unit 290, thereby notifying the staff (nurse, assistance staff, etc.)
  • the output unit 290 includes a speaker
  • the user detection unit 280 notifies the staff by outputting the user detection information INF to the output destination 400, and falls when the user 300 moves to the monitoring area ARmt.
  • the fact that there is a risk of falling may be output from a speaker by sound or voice.

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Physics & Mathematics (AREA)
  • Veterinary Medicine (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Public Health (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Physiology (AREA)
  • Dentistry (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Invalid Beds And Related Equipment (AREA)

Abstract

L'invention concerne un dispositif de détection de position d'utilisateur, pourvu : d'une pluralité de capteurs de force disposés au niveau d'une pluralité de positions sur le fond d'un lit pour détecter des charges au niveau des positions respectives en tant que signaux de charge ; une unité de calcul qui calcule la position du centre de gravité des charges agissant sur le fond du lit, sur base des positions des capteurs de force et des signaux de charge ; une unité d'acquisition de données d'informations biologiques, qui soumet les signaux de charge détectés par les capteurs de force à une analyse de fréquence pour acquérir des données d'informations biologiques représentant des informations biologiques d'un utilisateur ; et une unité de détection d'utilisateur, qui détecte la position de l'utilisateur sur le lit sur base de la position du centre de gravité lorsque les données d'informations biologiques ont été acquises. Il est ainsi possible de détecter si l'utilisateur est présent sur le lit ou non et la position de l'utilisateur sur le lit à un faible coût d'équipement, tel que des capteurs.
PCT/JP2016/064436 2015-05-19 2016-05-16 Dispositif et procédé de détection de position d'utilisateur WO2016186067A1 (fr)

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JP2015-102242 2015-05-19
JP2015102242 2015-05-19
JP2016-090916 2016-04-28
JP2016090916A JP6706536B2 (ja) 2015-05-19 2016-04-28 使用者位置検出装置及び方法

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2020114292A (ja) * 2019-01-17 2020-07-30 株式会社Ｔａｏｓ研究所 行動状態判定システムおよび行動状態判定方法
CN112542028A (zh) * 2019-09-23 2021-03-23 株式会社喜健 床跌落预防系统

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2004043249A1 (fr) * 2002-11-14 2004-05-27 Advanced Medical Inc. Dispositif de detection de donnees d'organisme
US20070191742A1 (en) * 2005-02-17 2007-08-16 Park Kwang-Suk Apparatus for analyzing a sleep structure according to non-constrained weight detection
JP2012011174A (ja) * 2010-06-01 2012-01-19 Aisin Seiki Co Ltd 在床状態判定装置
JP5070701B2 (ja) * 2006-01-10 2012-11-14 株式会社デンソー 寝具に加わる被験者の荷重変化により得られる呼吸信号の解析方法および装置
JP2014524792A (ja) * 2011-07-01 2014-09-25 コンプライアント・コンツェプト・アクチエンゲゼルシャフト ベッドの中の人の位置の変化を検出するための測定装置
JP2014180432A (ja) * 2013-03-19 2014-09-29 Aisin Seiki Co Ltd 動作検出装置

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2004043249A1 (fr) * 2002-11-14 2004-05-27 Advanced Medical Inc. Dispositif de detection de donnees d'organisme
US20070191742A1 (en) * 2005-02-17 2007-08-16 Park Kwang-Suk Apparatus for analyzing a sleep structure according to non-constrained weight detection
JP5070701B2 (ja) * 2006-01-10 2012-11-14 株式会社デンソー 寝具に加わる被験者の荷重変化により得られる呼吸信号の解析方法および装置
JP2012011174A (ja) * 2010-06-01 2012-01-19 Aisin Seiki Co Ltd 在床状態判定装置
JP2014524792A (ja) * 2011-07-01 2014-09-25 コンプライアント・コンツェプト・アクチエンゲゼルシャフト ベッドの中の人の位置の変化を検出するための測定装置
JP2014180432A (ja) * 2013-03-19 2014-09-29 Aisin Seiki Co Ltd 動作検出装置

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2020114292A (ja) * 2019-01-17 2020-07-30 株式会社Ｔａｏｓ研究所 行動状態判定システムおよび行動状態判定方法
CN112542028A (zh) * 2019-09-23 2021-03-23 株式会社喜健 床跌落预防系统

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