Motion discrimination device

The motion discrimination device uses torso-mounted sensors to generate respiratory and heartbeat frequency signals, enabling early detection of sitting up on the bed and reducing fall risks by anticipating user movements.

JP2025116481AActive Publication Date: 2025-08-08SUMITOMO RIKO CO LTD
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Patent Information

Application Number
JP2024010929
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2024-01-29
Publication Date
2025-08-08
Estimated Expiration
2044-01-29

AI Technical Summary

Technical Problem

Existing bed exit sensors detect a user's exit from the bed only after they have completely exited, failing to anticipate the movement at an earlier stage, such as sitting up, which increases the risk of falls or trips.

Method used

A motion discrimination device with a sensor placed at the user's torso on the bed to detect changes in load, processing the signals to generate respiratory and heartbeat frequency signals, allowing early detection of sitting up by analyzing these signals.

Benefits of technology

Enables the detection of a user sitting up on the bed before exiting, reducing the risk of falls or trips by anticipating the movement.

✦ Generated by Eureka AI based on patent content.

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Abstract

To provide a motion discrimination device capable of detecting a state that a user raises his or her upper body on a bed.SOLUTION: A motion discrimination device 10 for discriminating a motion of a user U on a bed 20 includes: a sensor 30 arranged at a position corresponding to the body of the user U; and a processing device 40 for receiving and processing an output signal output by the sensor 30. The sensor 30 detects a change in a load that the user U applies to the sensor 30. The processing device 40 includes an arithmetic device 41 and a discrimination device 42. The arithmetic device 41 generates a respiration frequency signal including a frequency component corresponding to the respiration of the user U on the basis of the output signal, and generates a heartbeat frequency signal including a frequency component corresponding to the heartbeat of the user U on the basis of the output signal. The discrimination device 42 discriminates a raised state in which the user U raises his or her upper body on the bed 20 on the basis of at least one of the respiration frequency signal and the heartbeat frequency signal.SELECTED DRAWING: Figure 1
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Description

[Technical Field]

[0001] The present invention relates to a motion discrimination device. [Background technology]

[0002] Conventionally, in hospitals, nursing homes, etc., when a care recipient, such as a physically disabled patient or elderly person, who is in bed and tries to get out of bed on his or her own, there is a risk of falling or tripping over. Therefore, a bed exit sensor that detects when the care recipient leaves the bed and notifies the caregiver when the bed exit sensor detects that the care recipient has left the bed has been considered to assist the care recipient in getting out of bed.

[0003] Japanese Patent Publication No. 2012-29871 (Patent Document 1) discloses a bed exit sensor such as the one described above, in which a pressure sensor is placed on the bed and determines that the user has exited bed when the user's body pressure detected by the pressure sensor falls below a predetermined value.

[0004] In addition, Japanese Patent Application Laid-Open Publication No. 2012-11174 (Patent Document 2) proposes a bed exit sensor that is provided with a load sensor on each leg of the bed and determines that the patient has exited the bed when the amount of movement of the load center of gravity detected by the load sensors falls below a predetermined value. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Japanese Patent Application Laid-Open No. 2012-29871 [Patent Document 2] Japanese Patent Application Laid-Open No. 2012-11174 Summary of the Invention [Problem to be solved by the invention]

[0006] However, the bed exit sensors described in Patent Documents 1 and 2 detect the user's exit from the bed after the user has completely exited the bed. Therefore, it is necessary to detect the user's movement at an earlier stage than when the user exits the bed.

[0007] The present invention has been made in view of the above background, and aims to provide a movement detection device that detects when a user sits up in bed. [Means for solving the problem]

[0008] One aspect of the present invention is A motion determination device for determining the motion of a bed user, a sensor disposed at a position corresponding to a trunk of the user in a state where the user is lying on the bed; a processing device that receives and processes an output signal output by the sensor, The sensor detects a change in a load applied to the sensor by the user; the processing device includes an arithmetic unit and a discrimination unit; The computing device generating a respiration frequency signal based on the output signal, the respiration frequency signal including a frequency component corresponding to the user's respiration; generating a heartbeat frequency signal including a frequency component corresponding to the heartbeat of the user based on the output signal; The discrimination device is The motion discrimination device discriminates whether the user has sat up on the bed based on at least one of the respiratory frequency signal and the heartbeat frequency signal. [Effects of the Invention]

[0009] According to one aspect of the present invention, it is possible to detect a state in which the user has raised his / her upper body on the bed before it is determined that the user is in a state of getting out of bed. [Brief explanation of the drawings]

[0010] [Figure 1]1 is a block diagram showing a motion discrimination device according to a first embodiment. [Figure 2] 2 is a cross-sectional view of the bed according to the first embodiment taken along line II-II in FIG. 1. FIG. [Figure 3] 1 is a plan view showing the bed according to the first embodiment with the mattress removed. FIG. [Figure 4] 1 is a cross-sectional view showing a sensor according to a first embodiment. [Figure 5] 1 is a diagram showing signals generated by the motion discrimination device according to embodiment 1, where (a) is an output signal, (b) is a heartbeat frequency signal, (c) is a heartbeat amplitude signal, (d) is a respiratory frequency signal, (e) is a respiratory amplitude signal, (f) is a signal indicating the user's condition, (g) is a bed presence signal, (h) is an active signal, (i) is a getting-up signal, and (j) is a getting-out signal. [Figure 6] FIG. 1 is a diagram for explaining a bed-sitting state (resting state) in the first embodiment. [Figure 7] FIG. 1 is a diagram for explaining an in-bed state (active state) in the first embodiment. [Figure 8] FIG. 10 is a diagram for explaining a standing state in the first embodiment. [Figure 9] FIG. 10 is a diagram for explaining an end-seated state in the first embodiment. [Figure 10] FIG. 10 is a diagram for explaining the bed exit state in the first embodiment. [Figure 11] 3 is a diagram for explaining the state of a user and the status of the motion discrimination device according to the first embodiment. FIG. [Figure 12] 4 is a flowchart showing the operation of the movement determination device in the presence-in-bed state according to the first embodiment. [Figure 13] 4 is a flowchart showing the operation of the movement determination device in the first embodiment in a standing-up state. [Figure 14] 4 is a flowchart showing the operation of the movement determination device in the bed-exit state according to the first embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0011] (Embodiment 1) 1. Overview of the motion detection device An embodiment in which the present invention is applied to a motion discrimination device will be described below. The motion discrimination device according to this embodiment is placed on a bed and discriminates the motion of a bed user. The bed user can be in various states, such as a bed-in-bed state in which the user lies quietly on the bed, an active state in which the user turns over in bed, a sitting-up state in which the user sits up on the bed, and an out-of-bed state in which the user leaves the bed.

[0012] If a user is physically disabled or elderly, there is a risk that the user may fall or trip from the bed when trying to leave the bed. Therefore, it is desirable to detect the user's attempt to leave the bed as early as possible. The movement determination device according to this embodiment can determine the movement of the user sitting up on the bed when starting to leave the bed.

[0013] 2. Configuration of the movement discrimination device 10 The movement determination device 10 of this embodiment will be described below with reference to Figs. 1 to 4. The movement determination device 10 of this embodiment is placed on a bed 20. The bed 20 is formed into a shape that is long in the longitudinal direction as a whole. The bed 20 includes a headboard 21, a footboard 22, a frame 23, a floorboard 24, a mattress 25 (an example of bedding), and handrails 26. In the following description, when multiple identical components are used, only some of the components will be assigned reference numerals, and the reference numerals may be omitted for other components.

[0014] As shown in FIGS. 1 and 2, the bed 20 is provided with a headboard 21 extending vertically at one end in the longitudinal direction, and a footboard 22 extending vertically at the other end in the longitudinal direction. The materials for the headboard 21 and the footboard 22 are not particularly limited and may be made of wood or metal. The headboard 21 and the footboard 22 are connected by a pair of frames 23 that are long in the longitudinal direction. The frames 23 are arranged at each end in the shorter direction of the bed 20. The material for the frames 23 is not particularly limited, but metal is preferable in order to support the weight of the user U. However, the bed 20 may be configured with a frame-shaped frame and legs extending downward from the four corners of the frame.

[0015] As shown in FIG. 3, a plurality of (seven in this embodiment) floorboards 24 extending in the short direction of the bed 20 are arranged between the pair of frames 23 so as to span the pair of frames 23. There are no particular limitations on the material from which the floorboards 24 are made, and any material such as wood, resin, or metal can be selected. There are no particular limitations on the number of floorboards 24, and the number may be one, or two to six, or eight or more. Adjacent floorboards 24 are arranged with a gap between them. However, adjacent floorboards 24 may also be arranged in contact with each other.

[0016] As shown in Fig. 2, a mattress 25 is placed on the floorboard 24. However, other examples of bedding such as a mattress or a blanket may be placed on the floorboard 24. The mattress 25 is formed in a rectangular shape that is long in the longitudinal direction when viewed from above. The mattress 25 is arranged so as to cover the floorboard 24 in the vertical direction. However, a user U is omitted from Fig. 2.

[0017] As shown in FIG. 1, the bed 20 is provided with handrails 26 on at least both sides (both sides in the short direction) where the torso of the user U is located. The torso is the part of the body of the user U excluding the head, neck, and limbs. The handrails 26 are arranged to protrude above the upper surface of the mattress 25. The handrails 26 are arranged to support the user U when he or she stands up from the bed 20 and to prevent the user U from falling from the bed 20. The material constituting the handrails 26 is not particularly limited and can be selected appropriately from wood, resin, metal, etc. The handrails 26 in this embodiment are made of metal.

[0018] Because the handrail 26 is provided, when the user U gets off the bed 20, he or she leaves the bed 20 from an area of the bed 20 where the handrail 26 is not located. In this way, in this embodiment, the area from which the user U can get off the bed 20 is set to an area in the longitudinal direction of the bed 20 where the handrail 26 is not located. This allows the user U to leave the bed 20 only from the foot side in the longitudinal direction. As a result, the range of movement of the user U is restricted, which improves the accuracy of detecting the movement of the user U.

[0019] As shown in Fig. 1, the sensor 30 is disposed on the bed 20 in an area where movement in the short side direction is restricted by the handrail 26. More specifically, the sensor 30 is disposed on the bed 20 at a position corresponding to the torso of the user U when the user U is lying on the bed 20. The sensor 30 is preferably disposed at a position on the torso of the user U that corresponds to the area between the shoulders and waist. Furthermore, disposing the sensor 30 at a position on the torso of the user U that corresponds to the area between the armpits and navel is more preferable because it allows for accurate detection of the movements of the user U, and disposing the sensor at a position that corresponds to the solar plexus is even more preferable.

[0020] 3, the sensor 30 is disposed on the upper surface of the bed board 24. The sensor 30 is formed to be elongated in the short-side direction of the bed 20. The length dimension of the sensor 30 in the short-side direction of the bed 20 is formed to be slightly shorter than the length dimension of the bed board 24 in the short-side direction of the bed 20.

[0021] When the user U lies on the bed 20, the torso of the user U extends in the longitudinal direction of the bed 20. The width dimension of the sensor 30 in the longitudinal direction of the bed 20 is set to be shorter than the length of the torso of the user U lying on the bed 20. The sensor 30 is placed on one of the floorboards 24 and fixed to the floorboard 24 by one or more restraining members. In this embodiment, both ends of the sensor 30 in the shorter direction of the bed 20 are fixed to the floorboard 24 by restraining members 27. The number of restraining members 27 that fix the sensor 30 to the floorboard 24 may be three or more.

[0022] The restraining member 27 can be selected from any suitable restraining member 27 such as a belt, a hook-and-loop fastener, tape, double-sided tape, a cable tie, etc. The sensor 30 may be attached to the floor board 24 by adhesive or screws.

[0023] The sensor 30 may also be fixed to the underside of the mattress 25. There are no particular limitations on the method of fixing the sensor 30 to the mattress 25, and the sensor 30 may be glued to the underside of the mattress 25 or sewn to the underside of the mattress 25. Alternatively, a pocket capable of accommodating the sensor 30 may be formed on the underside of the mattress 25, and the sensor 30 may be accommodated in this pocket.

[0024] However, the sensor 30 may be placed on the upper surface of the mattress 25. In this case, the sensor 30 can be prevented from coming into contact with the user U by covering the mattress 25 and the sensor 30 with a sheet.

[0025] The sensor 30 is configured to be able to absorb vibrations from the mattress 25.

[0026] As shown in FIG. 4, the sensor 30 includes a substrate 31, an elastic body 32, and a sensor 30 sheet.

[0027] The base material 31 is formed long in the short direction of the bed 20. The material constituting the base material 31 is not particularly limited, and any material can be appropriately selected, such as metals such as iron, stainless steel, aluminum, and aluminum alloys, or resin. The base material 31 according to this embodiment is made of metal.

[0028] An elastic body 32 having elasticity is fixed to the upper surface of the base material 31. There are no particular limitations on the material of the elastic body 32, and any material can be appropriately selected, such as rubbers such as styrene-butadiene rubber, nitrile rubber, and butyl rubber, and foamed resins such as polyurethane foam, polystyrene foam, and polyethylene foam. There are no particular limitations on the method for fixing the base material 31 and the elastic body 32, and they may be, for example, glued or heat-sealed.

[0029] A sensor sheet 33 is fixed to the upper surface of the elastic body 32. The sensor sheet 33 is composed of a piezoelectric sensor or an electrostatic sensor. In this embodiment, the sensor sheet 33 is formed in a sheet (membrane) shape. When the sensor sheet 33 receives pressure from the underside of the mattress 25, it can output a physical quantity corresponding to the received pressure. However, the elastic body 32 and the sensor sheet 33 may not be fixed to each other, and the sensor sheet 33 may be fixed to a member different from the elastic body 32, thereby maintaining the relative positions of the elastic body 32 and the sensor sheet 33.

[0030] When the sensor sheet 33 is a piezoelectric sensor, it includes a first electrode layer 33a, a second electrode layer 33b, and an intermediate layer 33c made of a piezoelectric material, which are laminated in this order: the first electrode layer 33a, the intermediate layer 33c, and the second electrode layer 33b.

[0031] In this embodiment, the first electrode layer 33a and the second electrode layer 33b are each formed of a single conductive sheet, so that the sensor sheet 33 outputs an output signal of one channel.

[0032] Alternatively, one of the first electrode layer 33a and the second electrode layer 33b may be composed of a single conductive sheet, while the other may be composed of multiple conductive sheets arranged at a distance from each other. Furthermore, the first electrode layer 33a and the second electrode layer 33b may each be composed of multiple conductive sheets. For example, the multiple conductive sheets constituting the first electrode layer 33a and the multiple conductive sheets constituting the second electrode layer 33b may be arranged in a line or in a matrix. According to the above configuration, the sensor sheet 33 can output output signals from multiple channels. This is preferable because the multiple output signals can complement each other and the detection accuracy can be improved by considering the relationship between the multiple output signals.

[0033] When the sensor sheet 33 is a piezoelectric sensor, the intermediate layer 33c is made of a piezoelectric material. When a compressive force is applied to the intermediate layer 33c, the intermediate layer 33c generates an electric power corresponding to the compressive force. This causes the sensor sheet 33 to output an output signal corresponding to the change in the load applied to the sensor sheet 33.

[0034] The sensor sheet 33 may be configured to use an electrostatic sensor. If the sensor sheet 33 is an electrostatic sensor, it includes an intermediate layer 33c made of a dielectric material. When a compressive force is applied to the intermediate layer 33c, the distance between the first electrode layer 33a and the second electrode layer 33b is shortened, thereby changing the electrostatic capacitance between the first electrode layer 33a and the second electrode layer 33b.

[0035] 1, the sensor 30 is electrically connected to the processing device 40 by wire or wirelessly. The sensor 30 transmits an output signal to the processing device 40. The processing device 40 includes an arithmetic unit 41, a discrimination unit 42, and a storage device 43.

[0036] The computing device 41 receives the output signal transmitted from the sensor 30 and processes the output signal to generate a signal different from the output signal. The computing device 41 generates a heart rate frequency signal, a heart rate amplitude signal, a respiration frequency signal, and a respiration amplitude signal.

[0037] The output signals and the signals generated by the arithmetic unit 41 will be described with reference to Figures 5(a) to 5(e). However, for the sake of convenience, the scale of the vertical axis of each graph in Figures 5(a) to 5(e) has been adjusted for each graph. Therefore, please note that it is not possible to compare the magnitude of the waveforms in each graph.

[0038] 5(a) shows an output signal. The output signal is a signal that the calculation device 41 receives from the sensor 30. The output signal is a single-channel signal that is output from the sensor 30. The output signal is a signal that corresponds to the amount of change in the load applied to the sensor 30. The output signal includes a signal caused by the body movement of the user U, a signal caused by the breathing of the user U, a signal caused by the heartbeat of the user U, a signal caused by the pulse of the user U, etc.

[0039] The heartbeat frequency signal is shown in Figure 5(b). The calculation device 41 generates the heartbeat frequency signal by applying a bandpass filter to the output signal, which passes frequency components corresponding to signals caused by the heartbeat of user U. The bandpass filter passes frequency components of 9 to 15 Hz. The frequency band of vibrations (ballistocardiograms) caused in the human body by heartbeats is said to be about several Hz to 20 Hz, and by passing the above-mentioned 9 to 15 Hz frequency components of the output signal, the signals caused by user U's heartbeat can be clearly detected.

[0040] 5(c) shows the heartbeat amplitude signal. The calculation device 41 generates the heartbeat amplitude signal from the heartbeat frequency signal. In detail, the calculation device 41 generates the heartbeat amplitude signal by taking the oscillation center of the heartbeat frequency signal as a baseline BL2 and folding back the waveform of the heartbeat frequency signal that is located below (in the negative direction) the baseline BL2 upward (in the positive direction). In other words, the calculation device 41 generates the heartbeat amplitude signal by calculating the absolute value of the heartbeat frequency signal, taking the oscillation center of the heartbeat frequency signal as 0. This allows the amplitude of the heartbeat to be detected in an emphasized manner.

[0041] FIG. 5(d) shows the respiratory frequency signal. The calculation device 41 generates the respiratory frequency signal by integrating the output signal with the oscillation center of the output signal set to a baseline BL1. Specifically, with the oscillation center of the output signal set to the baseline BL1, the portion above the baseline BL1 is integrated with a positive sign, and the portion below the baseline BL1 is integrated with a negative sign. Generally, the frequency band of signals caused by body movements such as turning over in bed is said to be approximately 2 Hz or less, which is closer to the frequency band of the respiratory component than the frequency band of the heartbeat frequency signal. Integration has a low-pass effect, allowing the respiratory component to be clearly captured. Alternatively, the calculation device 41 may generate the respiratory frequency signal by using a low-pass filter that passes components corresponding to signals caused by breathing.

[0042] The respiratory amplitude signal is shown in Figure 5(e). The calculation device 41 generates the respiratory amplitude signal from the respiratory frequency signal. In detail, the calculation device 41 generates the respiratory amplitude signal by taking the oscillation center of the respiratory frequency signal as a baseline BL3 and folding back the waveform of the respiratory frequency signal located below (in the negative direction) the baseline BL3 upward (in the positive direction). In other words, the calculation device 41 generates the respiratory amplitude signal by calculating the absolute value of the respiratory frequency signal, taking the oscillation center of the respiratory frequency signal as 0. This allows the amplitude of breathing to be detected in an emphasized manner.

[0043] The discrimination device 42 discriminates the actions of the user U by determining the signal generated by the calculation device 41, and determines the state of the user U. The states of the user U and the signals output by the discrimination device 42 for each state will be described later.

[0044] The memory device 43 stores an active breathing threshold ABT and a heart rate threshold HT (see FIG. 1), which will be described later.

[0045] The discrimination device 42 transmits a signal to a terminal device 45 or receives a signal from the terminal device 45 via a network 44 such as the Internet or an intranet. The terminal device 45 is not particularly limited and may be a display device such as a liquid crystal display, a tablet terminal, a smartphone, or a terminal device 45 dedicated to the motion discrimination device 10 of this embodiment. The terminal device 45 receives the signal from the discrimination device 42 and notifies the user U of the state of the user U. The means for notifying is not particularly limited and any means may be used, such as a screen display or audio notification.

[0046] 3. User U's actions Next, the movements of the user U will be described with reference to Figures 6 to 10. The classification of the movements of the user U in the following description is merely an example, and the movements of the user U are not limited to the following classification.

[0047] FIG. 6 shows a state in which a user U is lying on a bed 20. In the state in bed, the user U lies on the mattress 25 of the bed 20 with his / her head facing the headboard 21 and his / her feet facing the footboard 22. Furthermore, in FIG. 6, the user U is in a resting state, such as lying on the bed 20 while sleeping or lying on the bed 20 while awake and not moving. The resting state is included in the state in bed. In the state in bed, handrails 26 are arranged on both sides of the shorter side of the portion of the user U from the head to the waist. In this embodiment, a sensor 30 is arranged below the torso of the user U. In particular, from the viewpoint of improving detection accuracy, the position where the sensor 30 is arranged is preferably below the region between the armpits and waist of the user U, more preferably below the region between the armpits and navel, and even more preferably below the solar plexus.

[0048] When the user U is in bed, the sensor 30 detects pressure or vibration applied by the user U to the mattress 25 and outputs an output signal. In the bed-occupying state, examples of the pressure applied by the user U to the mattress 25 include pressure caused by the user U's breathing and pressure based on the user U's heartbeat.

[0049] The discrimination device 42 discriminates that the user U is in bed. The discrimination device 42 also notifies the terminal device 45 that the user U is in bed. However, the discrimination device 42 may or may not notify the terminal device 45 that the user U is in a resting state.

[0050] FIG. 7 shows an active state in which the user U is moving while lying on the bed 20. The active state includes states in which the user U turns over on the mattress 25 of the bed 20 or holds on to the handrail 26 as a preparatory action for sitting up. In the active state, the upper body of the user U is in contact with the mattress 25 of the bed 20. Since the user U in the active state is moving while lying on the bed 20, the active state is included in the in-bed state.

[0051] In the active state, examples of pressure applied by the user U to the mattress 25 include pressure due to the user U's body movements, pressure due to the user U's breathing, and pressure based on the user U's heartbeat.

[0052] The discrimination device 42 determines that the user U is in an active state. The discrimination device 42 according to this embodiment does not notify the terminal device 45 that the user U is in an active state. However, the discrimination device 42 may be configured to notify the terminal device 45 that the user U is in an active state.

[0053] 8 shows a state in which the user U sits upright on the bed 20. In the standing state, the user U sits upright on the mattress 25 of the bed 20. In the standing state, the user U's upper body is separated from the upper surface of the mattress 25.

[0054] In the standing up state, the pressure applied from the user U to the mattress 25 is, for example, pressure caused by the body movement of the user U. Pressure based on the breathing of the user U and pressure based on the heartbeat of the user U are not directly applied to the mattress 25. However, pressure based on the breathing of the user U and pressure based on the heartbeat of the user U may be indirectly applied to the mattress 25 from parts of the user U that come into contact with the mattress 25, such as the buttocks, feet, and hands.

[0055] The discrimination device 42 determines that the user U is in a standing up state. The discrimination device 42 also notifies the terminal device 45 that the user U is in a standing up state.

[0056] 9 shows a state in which the user U sits on the edge of the bed 20. In the edge-sitting state, the upper body of the user U is spaced apart from the top surface of the mattress 25.

[0057] When the user U is sitting on the edge of the mattress, the pressure exerted on the mattress 25 by the user U is, for example, pressure resulting from the user U's body movements. Furthermore, very little pressure based on the user U's breathing and pressure based on the user U's heartbeat are also exerted on the mattress 25. For this reason, the breathing signal or heartbeat may be determined as "not detected." On the other hand, when the user U is sitting on the edge of the mattress, if pressure is exerted on the mattress 25 by movements such as rocking the body, the breathing signal or heartbeat may be determined as "detected."

[0058] The discrimination device 42 according to this embodiment does not determine that the user U is sitting on the edge of the seat. Furthermore, the discrimination device 42 according to this embodiment does not notify the terminal device 45 that the user U is sitting on the edge of the seat. However, the discrimination device 42 may determine that the user U is sitting on the edge of the seat, or may notify the terminal device 45 that the user U is sitting on the edge of the seat.

[0059] 10 shows a state in which the user U has left the bed 20. In this state, the sensor 30 does not, in principle, detect pressure applied by the user U to the mattress 25. However, immediately after the user U leaves the bed 20, the mattress 25 may vibrate, applying pressure to the sensor 30 and causing the sensor 30 to output an output signal.

[0060] The discrimination device 42 determines that the user U is in a state of getting out of bed. The discrimination device 42 also notifies the terminal device 45 that the user U is in a state of getting out of bed.

[0061] 4. Signals Next, the signal generated by the discriminator 42 will be described with reference to FIG.

[0062] The discrimination device 42 acquires the heartbeat amplitude signal from the calculation device 41 and obtains a heartbeat maximum value, which is the maximum value of the heartbeat amplitude signal within a predetermined time interval t. Specifically, the discrimination device 42 acquires the maximum value within the predetermined time interval t among the peaks in the graph of the heartbeat amplitude signal peaks shown in FIG. 5(c). The predetermined time interval t is not particularly limited, but is preferably 0.5 to 4.0 seconds, more preferably 1.0 to 3.0 seconds, and even more preferably 1.5 to 2.5 seconds. In this embodiment, the predetermined time interval t is set to 2 seconds. Generally, the heartbeat frequency of a healthy person is 0.5 to 2 Hz. Therefore, if the user U is in a normal state, it is considered that at least one heartbeat will be detected within the predetermined time interval t.

[0063] The discrimination device 42 acquires the heart rate threshold HT stored in the storage device 43 and determines that a heart rate has been detected if the maximum heart rate value is equal to or greater than the heart rate threshold HT. Furthermore, if the discrimination device 42 determines that a heart rate has been detected for a predetermined continuous period of time, it determines that the user U is in bed and transmits a bed presence signal to the terminal device 45 (see FIG. 5(g)). The predetermined period of time is not particularly limited, and is preferably 2.5 to 10 seconds. In this embodiment, the discrimination device 42 determines that the user U is in bed if the discrimination device 42 determines that a heart rate has been detected for 2.5 continuous seconds. However, the discrimination device 42 may determine that a heart rate has been detected using a threshold different from the heart rate threshold HT and determine that the user U is in bed.

[0064] Furthermore, the discriminator 42 determines that a heartbeat has not been detected if the maximum heartbeat value is smaller than the heartbeat threshold value HT. However, the discriminator 42 may also determine that a heartbeat has not been detected if the heartbeat frequency signal is smaller than the heartbeat threshold value HT.

[0065] The value of the heart rate threshold HT is not particularly limited and can be set to any value. The heart rate threshold HT may be a preset value, or may be set based on the output signal detected by the sensor 30.

[0066] However, the discrimination device 42 may determine that the user U is in bed based on the respiratory frequency signal. Alternatively, the discrimination device 42 may determine that the user U is in bed based on either the respiratory frequency signal or the heart rate frequency signal.

[0067] The discrimination device 42 acquires the respiratory amplitude signal from the calculation device 41, acquires the active respiratory threshold ABT stored in the storage device 43, and determines that the user U is in an active state if the respiratory amplitude signal is greater than the active respiratory threshold ABT (see FIGS. 5(e) and 5(h)). However, the discrimination device may also determine that the user U is in an active state if the respiratory frequency signal is greater than the active respiratory threshold ABT.

[0068] The value of the active respiratory threshold ABT is not particularly limited and can be set to any value. The active respiratory threshold ABT may be a preset value or may be set based on the output signal detected by the sensor 30. For example, the active respiratory threshold ABT can be set based on a respiratory amplitude signal continuously measured for a predetermined period of time. The predetermined period is preferably any value between 100 and 300 seconds, more preferably any value between 150 and 250 seconds, and even more preferably any value between 180 and 220 seconds. In this embodiment, the predetermined period is set to 200 seconds. The value of the active respiratory threshold ABT may also be calculated based on the effective value of the measured respiratory amplitude signal, and is preferably 3 to 9 times the effective value of the respiratory amplitude signal. In this embodiment, the value of the active respiratory threshold ABT is set to 6 times the effective value of the measured respiratory amplitude signal.

[0069] By setting the active breathing threshold ABT based on a breathing amplitude signal that has been continuously measured for a predetermined period of time, it is possible to set the value of the active breathing threshold ABT for each user U. This is because the magnitude of the breathing amplitude signal in a stable state varies from person to person, and therefore, by setting the value of the active breathing threshold ABT individually for each user U, it is possible to accurately determine whether the user is in an active state.

[0070] Furthermore, the state of the user U may change while using the movement discrimination device 10. In such a case, the active breathing threshold ABT can be set based on a breathing amplitude signal measured continuously for a predetermined period of time, thereby responding to the change in the state of the user U. As a result, the active state can be accurately determined.

[0071] The discrimination device 42 determines that the user U is not in an active state when the respiration amplitude signal remains below the active respiration threshold ABT for a predetermined time. The predetermined time is preferably any value between 5 and 20 seconds. In this embodiment, the predetermined time is set to 10 seconds.

[0072] The discrimination device 42 also records that the user U has been in an active state for a predetermined period of time in the past. The predetermined period of time is preferably any value between 5 and 20 seconds. In this embodiment, the predetermined period of time is set to 10 seconds.

[0073] The discrimination device 42 discriminates whether the user U is in a sitting state in which the upper body of the user U is raised on the bed 20, based on the heartbeat frequency signal. The discrimination device 42 according to this embodiment discriminates that the user U is in a sitting state, on the condition that the user U has been discriminated to be in an active state at least once within a predetermined time in the past, and that the user U's heartbeat has not been detected (see FIGS. 5(c), 5(h), and 5(i)). The predetermined time in the past for discriminating whether the user U is in an active state is preferably any value between 5 and 20 seconds. In this embodiment, the predetermined time is set to 10 seconds.

[0074] For example, if the user U has been in an active state for the past 10 seconds and it is determined that the user U's heartbeat has not been detected in this active state, the user U is determined to be in a standing-up state.

[0075] Furthermore, for example, if it has been less than 10 seconds since the respiration amplitude signal was detected to be equal to or less than the active respiration threshold ABT, the discrimination device 42 continues to determine that the user U is in an active state. Therefore, if it has been less than 10 seconds since the respiration amplitude signal was detected to be equal to or less than the active respiration threshold ABT after it has been determined that the user U is in an active state for 10 consecutive seconds or more, and if it has been determined that the user U's heartbeat has not been detected, the user U is determined to be in a standing-up state.

[0076] Furthermore, the discrimination device 42 may determine that the user U is in the standing up state on the condition that the user U is determined to be in the active state and that the user U's heartbeat has not been detected.

[0077] However, the discriminator 42 may determine that the user U is in the standing up state on the condition that the heart rate amplitude signal is equal to or less than the heart rate threshold value HT.

[0078] Alternatively, the discriminator 42 may determine that the user U is in the standing state on the condition that the respiratory frequency signal is equal to or lower than a predetermined threshold different from the active respiratory threshold ABT. This is effective when the heartbeat frequency signal of the user U is relatively small and therefore difficult to detect by the sensor 30.

[0079] The discrimination device 42 determines that a heartbeat is not detected if the heartbeat amplitude signal is smaller than the heartbeat threshold HT, and further determines that the user U is in an out-of-bed state by leaving the bed 20 if it determines that a heartbeat is not detected for a predetermined continuous time (see FIGS. 5(c) and 5(g)). However, the discrimination device 42 may determine that a heartbeat is not detected using a threshold different from the heartbeat threshold HT, and further determine that a heartbeat is not detected for a predetermined continuous time.

[0080] The predetermined time is not particularly limited and can be set to any value as appropriate. A preferable predetermined time is, for example, 10 to 60 seconds. In this embodiment, the user U is determined to be out of bed if no heartbeat is detected for 20 consecutive seconds.

[0081] With reference to FIGS. 5 to 10, the reason why it is determined that the user U is in an out-of-bed state when it is determined that a heartbeat has not been detected for a predetermined period of time will be described.

[0082] In the graph shown in Figure 5(a), the output signal in region A shows a relatively regular waveform. In this state, user U is considered to be lying on bed 20 and in a resting state (see Figure 6). The regular waveforms shown in the graph of the output signal are considered to be signals caused by breathing and heartbeat.

[0083] In the graph shown in Figure 5(a), the output signal in region B has a larger amplitude and a more distorted waveform than the waveform in region A. In this state, user U is thought to be lying on bed 20 and turning over in his sleep or grabbing handrail 26 in an attempt to stand up (see Figure 7). The waveform shown in the graph of the output signal is thought to be a signal resulting from the movements of user U.

[0084] In the graph shown in FIG. 5(a), the output signal in region C shows one peak P at the boundary between region B and region C, and this peak P gradually attenuates to an amplitude of 0. It is considered that the user U in this state has sat up on the bed 20 and is in a standing state (see FIG. 8). The one peak P observed at the boundary between region B and region C is considered to be the pressure applied to the mattress 25 when the user U sat up. In addition, the gradual attenuation of peak P is considered to be due to the mattress 25 vibrating due to the applied pressure, and the vibrations gradually attenuating.

[0085] Now, the states corresponding to region C in FIG. 5(a) are assumed to be when the user U is in a sitting position as shown in FIG. 8 and when the user U is in a sitting position as shown in FIG. 9. In these cases, the user U is away from the mattress 25 of the bed 20. For this reason, the sensor 30 cannot directly detect the pressure based on the heartbeat and the pressure based on the breathing of the user U. However, the sensor 30 detects the pressure applied to the mattress 25 in accordance with the movement of the user U's body from the part of the user U's body that is in contact with the mattress 25 of the bed 20.

[0086] When the user U is in a sitting position or sitting on the edge of the bed 20, the pressure applied by the user U to the mattress 25 of the bed 20 causes the sensor 30 to output an output signal. This output signal may contain frequency components corresponding to signals caused by breathing and frequency components corresponding to signals caused by heartbeats.

[0087] As can be seen in FIG. 5(c), a slight heartbeat amplitude signal is observed even after peak P located between regions B and C in FIG. 5(a). This is thought to be due to the frequency component corresponding to the heartbeat being extracted from the signal in which peak P located between regions B and C in FIG. 5(a) decays. In this way, even when the user U has finished moving, if the mattress 25 vibrates due to the pressure applied to the mattress 25 by the user U, a frequency component corresponding to the heartbeat may be detected in the decaying part of this vibration. For this reason, when the discrimination device 42 determines that a heartbeat has not been detected for a predetermined period of time, it determines that the user U has left the bed 20 and is in an out-of-bed state (see FIG. 10).

[0088] In the graph shown in FIG. 5(d), a gentle waveform is also observed after peak P located between region B and region C in FIG. 5(a), for the same reason as above.

[0089] 5. Operation of the movement determination device 10 Next, the state of the user U, which is determined by the movement determination device 10 of this embodiment, will be described with reference to Fig. 11. The determination device 42 of the movement determination device 10 determines whether the user U is in a bed-sitting state (S1), a sitting-up state (S2), or an out-of-bed state (S3). The state of the user U is notified by the terminal device 45.

[0090] As shown in FIG. 11, the state of the user U transitions between a bed-sitting state (S1), a sitting-up state (S2), and a bed-leaving state (S3).

[0091] 11, the state of the user U may transition from a state in bed (S1) to a sitting-up state (S2) via route A. Also, the state of the user U may transition from a state in bed (S1) to a state out of bed (S3) via route D.

[0092] 11, the state of the user U may transition from the sitting up state (S2) to the in-bed state (S1) via route B. The state of the user U may transition from the sitting up state (S2) to the out-of-bed state (S3) via route C.

[0093] 11, the state of the user U may transition from the out-of-bed state (S3) via route E to the in-bed state (S1).

[0094] Next, the operation of the movement discrimination device 10 of this embodiment will be described with reference to Fig. 12 to Fig. 14. First, Fig. 12 is a flowchart showing the operation of the movement discrimination device 10 when the user U is in bed (S1 in Fig. 11).

[0095] When the user U is in bed (S1 in FIG. 11), the discriminator 42 determines whether the respiration amplitude signal is greater than the active respiration threshold ABT (S101).

[0096] If the respiration amplitude signal is greater than the active respiration threshold ABT (S101: Y), the discriminator 42 records the active state for a predetermined time in the past (S103). The discriminator 42 according to this embodiment records the active state for the past 10 seconds.

[0097] Next, the discriminator 42 determines whether or not a heartbeat has been detected (S104). That is, the discriminator 42 determines whether or not the maximum value of the heartbeat amplitude signal over two seconds is greater than the heartbeat threshold value HT.

[0098] If the heartbeat signal is not detected (S104: Y), the discriminator 42 determines whether the active state has occurred at least once within a predetermined time period in the past (S105).

[0099] If it is determined that the user U has been in the active state at least once within the past predetermined time period (S105: Y), the determination device 42 determines that the user U is in a standing-up state (S106). The determination device 42 transmits a standing-up signal to the terminal device 45. The terminal device 45 notifies the user U that the user U is in a standing-up state.

[0100] Next, the movement determination device 10 transitions to a movement in a standing-up state (corresponding to route A in FIG. 11).

[0101] On the other hand, in S101, if the respiration amplitude signal is not greater than the active respiration threshold ABT (S101: N), the discriminator 42 determines that the user U is not in an active state, and repeats the process of S101.

[0102] Furthermore, in S104, if the heartbeat is not undetected (S104: N), the discrimination device 42 determines that the user U is in bed, and maintains the status of the movement discrimination device 10 as the in-bed state (S109). That is, the discrimination device 42 maintains the display that the user U is in bed on the terminal device 45. Next, the discrimination device 42 executes the operations from S101 onwards.

[0103] Furthermore, in S105, if it has not been determined that the user U is in the active state at least once within the past predetermined time period (S105: N), the discrimination device 42 determines whether the state in which the heartbeat is not detected has continued for a predetermined time period (S110). If the state in which the heartbeat is not detected has continued for a predetermined time period (S110: Y), the discrimination device 42 determines that the user U is in an out-of-bed state, that is, has left the bed 20 (S111). The discrimination device 42 transmits an out-of-bed signal to the terminal device 45. The terminal device 45 displays that the user U is in an out-of-bed state.

[0104] Next, the movement determination device 10 transitions to a movement in the bed leaving state (corresponding to route D in FIG. 11).

[0105] Furthermore, in S110, if the state in which the heartbeat is not detected does not continue for a predetermined time (S110: N), the discrimination device 42 determines that the user U is in bed and maintains the status of the movement discrimination device 10 as the in-bed state (S109). That is, the discrimination device 42 maintains the display that the user U is in bed on the terminal device 45. Next, the discrimination device 42 executes the operations from S101 onwards.

[0106] This completes the process when the user U is in bed.

[0107] Next, the operation of the movement discrimination device 10 when the user U is in a standing-up state (S2 in FIG. 11) will be described with reference to Fig. 13. Fig. 13 is a flowchart showing the operation of the movement discrimination device 10 when the user U is in a standing-up state (S2 in FIG. 11).

[0108] When the user U is in a standing state (S2 in FIG. 11), the discriminator 42 determines whether a heartbeat has been detected (S201). That is, the discriminator 42 determines whether the maximum value of the heartbeat amplitude signal over two seconds is greater than the heartbeat threshold HT.

[0109] If the discrimination device detects a heartbeat (S201: Y), the discrimination device determines whether the heartbeat has been detected continuously for a predetermined time period (S202). If the heartbeat has been detected continuously for a predetermined time period (S202: Y), the discrimination device 42 determines that the user U is in bed, lying in bed 20 (S203). The discrimination device 42 transmits an in-bed signal to the terminal device. The terminal device 45 displays that the user U is in bed.

[0110] Next, the movement determination device 10 transitions to the movement in the in-bed state (corresponding to route B in FIG. 11).

[0111] Furthermore, in S201, if a heartbeat is not detected (S201: N), the discrimination device 42 determines whether or not the state in which a heartbeat is not detected has continued for a predetermined time (S206). If the state in which a heartbeat is not detected has continued for the predetermined time (S206: Y), the discrimination device 42 determines that the user U is in an out-of-bed state, that is, away from the bed 20 (S207). The discrimination device 42 transmits a bed-out signal to the terminal device. The terminal device 45 displays that the user U is in an out-of-bed state.

[0112] Next, the movement determination device 10 transitions to a movement in the bed leaving state (corresponding to route C in FIG. 11).

[0113] Furthermore, if it is determined in S202 that the state in which a heartbeat is detected has not continued for a predetermined time (S202: N), the discrimination device 42 determines that the user U is in a standing up state, and maintains the status of the movement discrimination device 10 as a standing up state (S205). That is, the discrimination device 42 maintains the display on the terminal device 45 that the user U is in a standing up state. Next, the discrimination device 42 executes the operations from S201 onwards.

[0114] Furthermore, if it is determined in S206 that the state in which a heartbeat is not detected has not continued for a predetermined time (S206: N), the discrimination device 42 determines that the user U is in a standing-up state, and maintains the status of the movement discrimination device 10 as the standing-up state (S205). That is, the discrimination device 42 maintains the display on the terminal device 45 that the user U is in a standing-up state. Next, the discrimination device 42 executes the operations from S201 onwards.

[0115] This completes the process when the user U is in a standing state.

[0116] Next, the operation of the movement discrimination device 10 when the user U is in a bed-out state (S3 in FIG. 11) will be described with reference to Fig. 14. Fig. 14 is a flowchart showing the operation of the movement discrimination device 10 when the user U is in a bed-out state (S3 in FIG. 11).

[0117] When the user U is in a state of getting out of bed (S3 in FIG. 11), the discriminator 42 determines whether or not a heartbeat has been detected (S301).

[0118] If the discrimination device 42 detects a heartbeat (S301: Y), the discrimination device determines whether the heartbeat has been detected continuously for a predetermined time period (S302). If the heartbeat has been detected continuously for a predetermined time period (S302: Y), the discrimination device 42 determines that the user U is in bed, lying in bed 20 (S303). The discrimination device 42 transmits an in-bed signal to the terminal device. The terminal device 45 displays that the user U is in bed.

[0119] Next, the movement determination device 10 transitions to a movement in the in-bed state (corresponding to route E in FIG. 11).

[0120] Furthermore, in S301, if a heartbeat is not detected (S301: N), the discrimination device 42 determines that the user U is in an out-of-bed state away from the bed 20, and maintains the status of the movement discrimination device 10 as the out-of-bed state (S305). That is, the discrimination device 42 maintains the display on the terminal device 45 that the user U is in an out-of-bed state. Next, the discrimination device 42 executes the operations from S301 onwards.

[0121] Furthermore, in S302, if a heartbeat is not detected for a predetermined period of time (S302: N), the discrimination device 42 determines that the user U is in an out-of-bed state away from the bed 20, and maintains the status of the movement discrimination device 10 as the out-of-bed state (S305). That is, the discrimination device 42 maintains the display on the terminal device 45 that the user U is in an out-of-bed state. Next, the discrimination device 42 executes the operations from S301 onwards.

[0122] This completes the process when the user U is out of bed.

[0123] 6. Effects of this form Next, the effects of this embodiment will be described. The movement discrimination device 10 according to this embodiment discriminates the movement of a user U on a bed 20, and includes a sensor 30 disposed at a position corresponding to the torso of the user U when the user U is lying on the bed 20, and a processing device 40 that receives and processes an output signal from the sensor 30. The sensor 30 detects changes in the load applied by the user U to the sensor 30. The processing device 40 includes a calculation device 41 and a discrimination device 42. The calculation device 41 generates a respiratory frequency signal including a frequency component corresponding to the user U's breathing based on the output signal, and generates a heartbeat frequency signal including a frequency component corresponding to the user U's heartbeat based on the output signal. The discrimination device 42 discriminates whether the user U has sat up in bed 20 based on at least one of the respiratory frequency signal and the heartbeat frequency signal.

[0124] According to this embodiment, it is possible to detect the user U's sitting up state in which the user U sits up on the bed 20 before it is determined that the user U is out of bed. Note that it is preferable to determine the sitting up state based on the heartbeat frequency signal (0.5 to 2 second cycle) because it is possible to determine the sitting up state earlier than when it is determined based on the respiratory frequency signal (up to 10 second cycle).

[0125] According to this embodiment, the sensor 30 detects vibrations of the mattress 25 placed on the bed 20. This makes it possible to detect the body movement of the user U even when the user U is not in direct contact with the sensor 30.

[0126] The processing device 40 according to this embodiment further includes a storage device 43. The discrimination device 42 determines that a heartbeat has not been detected if the heartbeat frequency signal is equal to or lower than a heartbeat threshold HT stored in the storage device 43, determines that the user U is in an active state in which the user U is moving on the bed 20 if the respiratory frequency signal is higher than an active respiratory threshold ABT stored in the storage device 43, and determines that the user U is in a sitting-up state if the user U has been in an active state at least once within a predetermined time period in the past and no heartbeat has been detected from the user U. This embodiment can improve the accuracy of discriminating between sitting-up states.

[0127] The processing device 40 according to this embodiment further includes a storage device 43. The discrimination device 42 acquires a heart rate maximum value, which is the maximum value of the amplitude of the heart rate frequency signal during a predetermined time interval t, and determines that a heart rate has not been detected if the heart rate maximum value is equal to or less than a heart rate threshold HT stored in the storage device 43. The discrimination device 42 determines that the user U is in an active state, moving on the bed 20, if a respiratory amplitude signal, which is the absolute value of the respiratory frequency signal, is greater than an active respiratory threshold ABT stored in the storage device 43. The discrimination device 42 determines that the user U is in a sitting-up state if the user U has been in an active state at least once within a predetermined time period in the past and no heart rate has been detected from the user U. This embodiment improves the accuracy of determining the sitting-up state.

[0128] Furthermore, according to this embodiment, the processing device 40 may further include a memory device 43, and the discrimination device 42 may determine that the user U is in a standing-up state on the condition that the heartbeat frequency signal is equal to or lower than the heartbeat threshold value HT stored in the memory device 43.

[0129] Furthermore, according to this embodiment, the processing device 40 may further include a memory device 43, and the discrimination device 42 may acquire a maximum heart rate value, which is the maximum value of the amplitude of the heart rate frequency signal over a predetermined time interval, and determine that the user U is in an upright state if the maximum heart rate value is equal to or less than the heart rate threshold value HT stored in the memory device 43.

[0130] Furthermore, the calculation device 41 according to this embodiment integrates the output signal by setting the oscillation center of the output signal at a baseline BL1, and integrating the portion above the baseline BL1 with a positive sign, and integrating the portion below the baseline BL1 with a negative sign. This allows a respiratory frequency signal to be generated. Furthermore, the calculation device 41 according to this embodiment can generate a respiratory frequency signal by using a low-pass filter on the output signal that passes frequency components corresponding to signals caused by the user U's breathing. Therefore, a signal caused by breathing or a signal with frequency components corresponding to breathing can be generated from the output signal.

[0131] Furthermore, the arithmetic device 41 according to this embodiment can generate a heartbeat frequency signal by using a bandpass filter that passes, in the output signal, a frequency component corresponding to a signal caused by the heartbeat of the user U. Therefore, a signal caused by the heartbeat or a signal with a frequency component corresponding to the heartbeat can be generated from the output signal.

[0132] Furthermore, the discrimination device 42 according to this embodiment discriminates the state of the user U lying on the bed 20 based on at least one of the respiratory frequency signal and the heartbeat frequency signal. This allows the state of the user U lying on the bed 20 to be determined.

[0133] The processing device 40 according to this embodiment further includes a storage device. The discrimination device 42 acquires a heart rate maximum value, which is the maximum value of the amplitude of the heart rate frequency signal, and determines that a heart rate has been detected if the heart rate maximum value is equal to or greater than a predetermined threshold value stored in the storage device 43. If the heart rate detection continues for a predetermined period of time, the discrimination device 42 determines that the user U is in bed. This improves the accuracy of determining that the user U is in bed, that is, lying on the bed 20.

[0134] Moreover, the processing device 40 according to this embodiment further includes a storage device 43. The discrimination device 42 acquires a maximum heart rate value, which is the maximum value of the amplitude of the heart rate frequency signal, and determines that a heart rate has not been detected if the maximum heart rate value is smaller than a predetermined threshold value stored in the storage device 43, and determines that the user U is in an out-of-bed state where the user U has left the bed 20 if it has been determined that a heart rate has not been detected for a predetermined period of time. This makes it possible to determine that the user U is in an out-of-bed state where the user U has left the bed 20.

[0135] The present invention is not limited to the above-described embodiments, and can be applied to various embodiments within the scope of the present invention. [Explanation of symbols]

[0136] 10: motion discrimination device, 20: bed, 30: sensor, 40: processing device, 41: calculation device, 42: discrimination device, 43: storage device, ABT: active respiratory threshold, HT: heart rate threshold, t: predetermined time interval, U: user

Claims

1. A motion determination device for determining the motion of a bed user, a sensor disposed at a position corresponding to a trunk of the user in a state where the user is lying on the bed; a processing device that receives and processes an output signal output by the sensor, The sensor detects a change in a load applied to the sensor by the user; the processing device includes an arithmetic unit and a discrimination unit; The computing device generating a respiration frequency signal based on the output signal, the respiration frequency signal including a frequency component corresponding to the user's respiration; generating a heartbeat frequency signal including a frequency component corresponding to the heartbeat of the user based on the output signal; The discrimination device is A motion discrimination device that discriminates whether the user has sat up on the bed based on at least one of the respiratory frequency signal and the heartbeat frequency signal.

2. The movement determination device according to claim 1 , wherein the sensor detects vibrations of bedding placed on the bed.

3. The processing device further comprises a storage device; The discrimination device is determining that a heartbeat has not been detected if the heartbeat frequency signal is equal to or less than a heartbeat threshold stored in the storage device; determining that the occupant is in an active state of moving on the bed if the respiratory frequency signal is greater than an active respiratory threshold stored in the memory device; 2. The motion determination device according to claim 1, wherein the user is determined to be in the standing-up state on the condition that the user has been in an active state at least once within a predetermined period of time in the past and that the user's heartbeat has not been detected.

4. The processing device further comprises a storage device; The discrimination device is obtaining a heartbeat maximum value, which is the maximum value of the amplitude of the heartbeat frequency signal in a predetermined time interval; determining that a heartbeat has not been detected on the condition that the maximum heartbeat value is equal to or less than the heartbeat threshold value stored in the storage device; determining that the user is in an active state where the user is moving on the bed, on the condition that a respiratory amplitude signal, which is the absolute value of the respiratory frequency signal, is greater than an active respiratory threshold value stored in the storage device; The movement determining device according to claim 1 , wherein the movement determining device determines that the user is in the standing-up state when the user is in the active state and the heartbeat of the user is not detected.

5. The processing device further comprises a storage device; The discrimination device is The movement determination device according to claim 1 , wherein the user is determined to be in the standing up state on the condition that the heartbeat frequency signal is equal to or lower than a heartbeat threshold value stored in the storage device.

6. The processing device further comprises a storage device; The discrimination device is obtaining a heartbeat maximum value, which is the maximum value of the amplitude of the heartbeat frequency signal in a predetermined time interval; The movement determination device according to claim 1 , wherein the user is determined to be in the standing-up state on the condition that the maximum heart rate value is equal to or less than a heart rate threshold value stored in the storage device.

7. 2. The movement discrimination device of claim 1, wherein the calculation device generates the respiratory frequency signal by integrating the output signal by using the vibration center of the output signal as a baseline, and integrating the portion above the baseline with a positive sign and integrating the portion below the baseline with a negative sign.

8. The movement discrimination device according to claim 1 , wherein the arithmetic unit generates the breathing frequency signal by applying a low-pass filter to the output signal, the low-pass filter passing a frequency component corresponding to a signal caused by the user's breathing.

9. 2. The movement determination device according to claim 1, wherein the arithmetic unit generates the heartbeat frequency signal by applying a bandpass filter to the output signal, the bandpass filter passing a frequency component corresponding to a signal caused by the user's heartbeat.

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