JP2012183199A5 - - Google Patents

Description

Intelligent bed and bed prediction sensor system

  The present invention relates to welfare and medical equipment for reducing the burden of nursing care in elderly care and medical facilities, etc., and enables caregivers and the like to remotely recognize a patient's getting out of bed and getting out of bed using a quantitative method. It is aimed at the technical field for providing such devices and programs. It also has functions as a biometric sensor and an emergency communication system.

  In the field of medical care and welfare, it is a big social problem that a patient gets up from a bed or a futon without hesitation and an accident such as a fall or fall occurs in a patient with weak muscle strength or an elderly person with dementia. ing. In addition, it is extremely difficult for nurses and caregivers who are extremely busy to monitor the actions of many patients. In addition, it is difficult for a welfare person or medical staff to check a large number of health conditions and living conditions from a remote place for the elderly living alone at home.

In current hospitals, a general method is to place a mat using a foot-type switch at the exit of the bed and issue a warning when the patient steps on it with a foot, or report to a remote nurse station, etc. Has been taken.
However, in this method, there is a case where the patient is already standing up and a dangerous situation has occurred. Therefore, even if the caregiver rushes, it may be too late.

As another method, the weight change of the patient is recognized from the sensor position where the load recognition sensor mat is placed under the bed mat and the mattress, and the prediction of bed leaving and the confirmation of bed leaving are performed. However, in this system, malfunctions occur due to the patient turning over or posture during sleep, and further, the electrical wiring and the like inside the mat frequently cause disconnection and poor contact due to plastic deformation due to repeated bending.

  On the other hand, when a pressure-type touch sensor or a biological sensor using infrared rays or ultrasonic waves is used for the handrail around the bed, a malfunction or a nurse or doctor that touches the sensor even if the patient himself / herself is not willing to get out of bed. Problems such as alarm activation due to sensor recognition at the time of round visits have accumulated.

Japanese Patent Laid-Open No. 11-076178 Japanese Patent Laid-Open No. 10-094525

When using a mat-type load recognition sensor, it is required to solve the deterioration of reliability due to disconnection and contact failure caused by malfunction due to rolling over and the like and repeated plastic deformation. The frequency problem is difficult to solve. Moreover, although it is calculated | required to improve the QOL for removing the discomfort of the sensor mat used when the patient is sleeping and the troublesomeness of the power cord, etc., it is difficult with the current measurement method.

  In the sensor for getting out of bed, caregivers are strongly required to report at the time of getting out of bed rather than reporting after getting out of the patient, so the use of multiple sensors and microcomputers tends to make the system complicated and expensive. is there.

In the case of using a biometric recognition sensor recognition sensor using infrared rays or ultrasonic waves, the presence of a human body or a caregiver in the vicinity of the patient is recognized and reported. Change the installation position location sensors in order to resolve this malfunction, it is difficult also to solve the problem using the cooperation recognition technology with the touch sensor or the like.

  Therefore, the present invention provides a low-cost “get-off” and “get-off prediction” system for the purpose of improving the patient's QOL and preventing the malfunction as compared with the prior art. Furthermore, it is possible to provide a system having an emergency communication function and a life monitoring sensor for an elderly person living alone in a remote place.

In order to solve the problems of the prior art, the present invention solves the problem by determining “getting out bed” and “getting out bed” by a microcomputer using a pillow sensor and three different types of sensors.
The first sensor is an acceleration sensor for recognizing the movement of the center of gravity of the head, the second sensor is a biosensor using a piezo film or an acceleration sensor for recognizing the movement of the body part, and the third (1) sensor Is a piezo cable sensor for recognizing the load on the upper body, and the third (2) sensor is an intelligent sensor unit composed of a piezo cable sensor for recognizing the load due to the total weight of the patient and the output information of each. It comprises a microcomputer unit for making a judgment, a LAN unit used for information transmission, and a power unit for supplying system power.

  Regarding the standard for determining the bed separation of the microcomputer, for example, when the three types of sensors consisting mainly of the other second, third (1) and third (2) are used for the determination of the pillow sensor which is the first sensor. If the two types of sensor outputs are within the numerical values set for the bed leaving level, it is determined that the user has left the bed.

Regarding the criteria for the prediction of getting out of the microcomputer, it is a necessary condition for information transmission that the output from the head measurement sensor inserted in the pillow is at the getting-off level and the output from the upper body load sensor is also at the getting-off level, and the patient When the setting condition that the output from the load recognition sensor does not reach the bed leaving level is determined, a warning for bed leaving is issued by the microcomputer.

  In the system of the present invention, the judgment of “getting out of bed” or “getting out of bed” by a microcomputer is issued by an alarm based on intelligent judgment of information from a plurality of sensors by the logic of the program, so that there are few malfunctions.

  In the present invention, a touch sensor attached to a handrail of a bed for determination of “getting out of bed” or “prediction of getting out of bed”, a foot switch type mat installed at the exit of the bed, or a biometric recognition sensor using infrared rays, ultrasonic waves, or the like Is not used as in the prior art, and it prevents the malfunction of alarms generated by recognizing caregivers and visitors other than patients.

  In the present invention, the sensor body is not installed in a visible place like a conventional sensor for improving the patient's QOL or dementia patient, and is attached to the inside of the pillow, the cover of the comforter, etc. There is little discomfort given to the patient without conspicuous, and the power cords and the power supply are designed to have as little discomfort as possible.

  Since a mobile phone or a wireless / wired LAN system is used, it is possible to simultaneously monitor a plurality of beds and patients simultaneously.

  According to the present invention, prediction of a bed on a bed or bedding and bed leaving can be achieved by an intelligent technology using a microcomputer and a control program based on logic that positions and prioritizes each sensor using a plurality of sensors simultaneously. It is possible to report the situation to a caregiver or a nurse accurately in real time.

  It is possible to contribute to prevention of falls / falls, prevention of wrinkles, etc. by the nurse and caregiver recognizing the prediction of bed leaving and the bed leaving situation of a patient who needs a resting state by using this bed leaving sensor system.

  When the present invention is used for a monitoring sensor such as an elderly person living alone, only information set by selecting information set in real time by a program in a microcomputer in the system is notified to an administrator or a caregiver.

  If an elderly person living in a distant place needs help urgently, if an IT intelligence pillow is shaken greatly in the specified direction, it will be sent to the manager or caregiver as an emergency call, and at the same time a resident in the neighborhood In addition, it is possible to call for help by displaying an outdoor diffuse warning light so that the situation can be grasped.

It is explanatory drawing which shows the structure of the IT intelligent pillow of the intelligent bed-and-bed prediction sensor system which is one embodiment of this invention . It is explanatory drawing which shows the structure of the top sensor of the intelligent bed leaving and bed leaving prediction sensor system which is one embodiment of this invention . It is explanatory drawing which shows the structure of the load recognition sensor of the intelligent bed-and-bed prediction sensor system which is one embodiment of this invention . BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a human body load distribution diagram and a sensor installation diagram regarding an intelligent bed leaving / bed bed prediction sensor system according to an embodiment of the present invention . BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a system configuration diagram of an intelligent bed leaving and bed leaving prediction sensor system according to an embodiment of the present invention . It is a flowchart which shows the judgment method of the acceleration sensor input in the microcomputer of the intelligent bed-and-bed prediction sensor system which is one embodiment of this invention . It is a microcomputer block diagram of the pillow sensor of the intelligent bed removal / bed bed prediction sensor system according to an embodiment of the present invention . It is a flowchart which shows the determination method of the sensor input in the integrated microcomputer of the intelligent bed-and-bed prediction sensor system which is one embodiment of this invention . It is a determination block diagram of the integrated microcomputer of the intelligent bed leaving and bed leaving prediction sensor system according to the embodiment of the present invention .

FIG. 1A is a detailed view of the IT intelligent pillow sensor. Since the control capsule of 2 is fixed to the metal fitting of the pillow body with 4 fixing wires, when the patient uses the pillow, the control capsule of 2 greatly vibrates due to vibration or load . At this time, the center material of the six pillow bodies uses urethane to make the inside hollow, thereby enabling the movement of the two control capsules. Other materials for the pillow part can be used freely as appropriate, such as feathers, buckwheat husks, cotton, and plastic materials. FIG. 1B is a cross-sectional view of the inside of the control capsule 2. The accelerometer unit base 7 can be used for one axis, two axes, and three axes, and can perform measurement according to its performance. The output voltage by measurement is connected to 8 microcomputers, and when a voltage higher than the set value is output, the use confirmation of the patient is confirmed by the 8 microcomputer control program. However, if the output voltage of the accelerometer 7 is equal to or lower than the set value, it is determined that the patient is not in use, a signal is sent to the 9 transmission unit, and information is sent to the 28 general microcomputers.

  FIG. 2 is a detailed view of the top sensor. This is a flexible film sensor having a rectangular shape of about 25 cm × 45 cm × 0.3 cm. At four corners, eleven fasteners such as hook-and-loop fasteners and fasteners can be attached to the duvet cover and blanket cover. Inside the sensor, 15 strip-shaped piezofilms are in a state of cloth folding, and each strip-shaped piezofilm is connected by a lead wire, and a voltage of about 0.5 V is generated due to plastic deformation of the sensor due to patient movement. Further, in order to prevent damage to the 15 piezo film, 15 piezo films are provided on 16 thin cloths and further covered with 14 protective films such as polyethylene. The output of the 13-up sensor is transmitted in real time to the 28 central microcomputers via the 10 microcomputer connectors, with the voltage values generated from the 15 piezoelectric films regarding the movement in the X and Y directions depending on the usage state of the patient.

FIG. 3 is a detailed view of the load recognition sensor. FIG. 3 (1) is an internal situation diagram in which the central part is vertically divided. The material of 20 flexible bars uses a flexible hollow square pipe such as polyethylene and vinyl chloride. The length in the longitudinal direction corresponds to the width of the bed. Inside this, 17 tension adjusting brackets are fixed to both sides. Since the tension fitting is used in a pair with 22 adjustment nuts and is threaded, the tension of the 19 wires is increased when the 22 adjustment nuts are tightened. This adjusts the slack of the wire. The 18 piezo cables are looped through the upper end of the 27 mounting brackets as shown in FIG. 3 (2) details of the hanging brackets, and then tightened so as not to come off with the 26 crimping brackets. 24 fixing nuts are fixed to 17 tension adjusting brackets, and 25 flexible joints serve to prevent twisting of the 18 piezo cable. The 19 wires and the 18 piezo cables are fixed in the same manner as in the case of the 27 mounting brackets by looping them together with 26 caulking brackets (refer to the fastening detail drawing).
In use, two load sensors are used, one is installed on the upper back of the bed, and the other is installed on the waist of the center of the bed so as to be perpendicular to the bed frame.
When the patient is on the bed, an output voltage is input to 28 general microcomputers via 21 microcomputer connectors by plastic deformation of 20 flexible bars.

FIG. 4 (1) shows the situation when the human body lies on the bedding. When the load distribution is measured, it is proved that the weight distribution of the human body is loaded on the bedding as well as the sleeping position as shown in the mesh diagram of FIG. Based on this result, the load recognition sensor shown in FIG. 3 is installed at three places, the upper part of the bed, the central part of the bed, and the lower part of the bed as shown in FIG. 4 (3). The load changes due to weight shift. As a result, it becomes possible to infer the patient's situation from the set value and sensor input position of the sensor input in the 28 integrated microcomputers at the time of getting out of bed.

FIG. 5 is a system configuration diagram of the present invention. (1) of FIG. 5 is a system configuration diagram assuming a case where a plurality of beds and hospital beds are managed. The reason why only the pillow is composed of 7 accelerometer units, 8 microcomputers, and 9 transmission units is usually when the usage of the pillow is expected to be used quite messy and the patient's head is not placed Assuming that, the pillow is made intelligent and judgment is made so that the movement of the patient due to slight contact can be predicted and the judgment of getting out can be made. In addition, it is possible to predict the sense of alienation and various troubles by using wired information, and to transfer wireless information directly to the server. For the same reason, the power source used has a charging function simultaneously with the supply from the 100V home appliance outlet. The outputs from other load recognition sensors and 13 top sensors are judged to be the bed leaving level while being always compared with the set voltage that is directly input to the 28 general microcomputer and processed by the CPU in the microcomputer and written in the main program. If it is done, it is recognized as getting out of bed or getting out of bed comparing with the output status with other sensors. This result is transmitted to 31 receivers via wireless and wired LAN systems in 45 transmission units (2). These data are transmitted to 29 display monitors (servers) via 30 hubs in real time. However, when measuring using only the IT intelligent pillow sensor at the time of system organization, send it directly to the 29 display monitor (server) via the 31 receivers and 30 hubs without using the 28 integrated microcomputers. It is possible.
(2) of FIG. 5 is a system configuration diagram using a wide area network. The main purpose is to manage individual houses for disabled persons living alone and elderly people living alone. Similarly to the above, data transmission from 29 general microcomputers and pillow sensors is performed via 33 Internets via 32 routers in 45 transmission units (2), and 29 display monitors via 39 routers (2). (Server). However, when measuring using only the IT intelligent pillow sensor at the time of system configuration, do not use 28 general microcomputers, but directly 32 routers, 33 routers via the Internet, 39 routers (2), 29 display monitors It is possible to transmit to (server). Further, when the patient wants to make an emergency call, it also has a function as an emergency signal transmission device by adding a predetermined number of amplitudes in a predetermined direction.

FIG. 6 shows a method for determining the input of the 7 accelerometer unit in the microcomputer. The operation of the IT intelligent pillow sensor shown in FIG. 7, that is, the detection method for getting out of bed and getting out of bed according to the present invention will be described. Note that the set value (SA) and the response frequency (SHz) of the 7 accelerometer unit input voltage are stored in advance in the storage unit 37. The 35 comparing unit compares the input voltage and response frequency from the 7 accelerometer unit with the set value (SA) and (SHz), and sets the result as voltage (V1) and response frequency (Hz1). Next, when the input voltage (V1) is larger than the set value (SA), since the patient is on the bed, it is measured again as no problem.
However, when V1 is smaller than SA, there is a possibility that the target patient does not exist on the bed. Here, “send bed warning 1 is transmitted.” Next, when the response frequency (Hz1) is also smaller than the set value (SHz), it is determined that “gets out of bed” and the alarm 1 is ended. However, when the input voltage (V1) is larger than the set value (SA) and the response frequency (Hz1) is also larger than the set value (SHz), it is predicted that the patient's movement is activated on the bed. As a result, the alarm 2 is corrected and the process ends. The difference between the alarm 1 and the alarm 2 is distinguished by, for example, a flashing display or a lighting display on the display board of the server. On the other hand, it is possible to distinguish between colors to be displayed and to give a warning by voice.

  FIG. 7 is a block diagram showing a method of determining acceleration bed input and bed prediction in 38 pillow microcomputers used in the IT intelligent pillow sensor. The 38 pillow microcomputers operated by the battery or the charging power source have 34 input channels, 37 storage units, 35 comparison units, and 36 output units. The 34 input channels, 35 comparison unit, and 36 output unit are composed of a CPU and its control program. The 7 accelerometer unit is connected to one of 34 input channels and measures the voltage output from the sensor in real time. Nine transmission units are connected to the 36 output unit. On the other hand, the comparison unit 35 stores the input value of the 7 accelerometer unit and the voltage value at a predetermined time when the patient is on the bed in the storage unit 37 in advance as the set value S. When the measured voltage at a certain time is smaller than the set value by comparison, a warning 1 is transmitted. When the patient is not on the bed, the output voltage is very close to 0, and when the frequency response per minute is small, it is determined that the person is getting out of bed. Further, when the input voltage (V1) from the 7 accelerometer unit is small and the frequency response (Hz1) fluctuates greatly in one minute, it is judged as “predicted bed leaving” and the alarm is switched to 2. The output unit of 36 holds the operation of 9 transmission units until it is reset by the administrator of the 29 display monitor (server). In the present invention, it is possible to distinguish between “premature bed prediction” and “getting out bed”, so that one person manages a plurality of beds, and even if an abnormal situation occurs at the same time, a caregiver or nurse promptly takes care of the patient. It is possible to determine the priority to be performed.

FIG. 8 shows a method for determining each sensor input in the overall microcomputer. The operation of the decision block diagram of the general microcomputer shown in FIG. 9, that is, the method for detecting bed leaving and bed prediction according to the present invention will be described. Note that the set value (SV) and the response frequency (SHz) of the 7 accelerometer unit input voltage are stored in advance in the storage unit (2) 41. Also, the set values (SB), (SC), (SD), (SD) of the sensor inputs of the 46 load recognition sensor (1), 47 load recognition sensor (2), 48 top sensor (2), 49 and other sensors are also provided. SE) is similarly stored in the 41 storage section (2). 42 comparison part (2) makes the judgment result from 7 accelerometer units a 1st priority input, compares the voltage in other sensor inputs V1-V4 with each set value, and two or more types of sensor responses are a microcomputer. If it is compatible with the logic of the CPU program, alarm 1 is issued from the 50 alarm transmission unit. When this condition is not satisfied for each sensor, the output voltages V1 to V4 are measured again. However, in this voltage measurement, when two or more types of sensors are smaller than the set value S, the set value of the response frequency (AHz) and the measurement results (BHz) to (EHz) are compared in the 42 comparison unit (2). To do. If this result is smaller than the set value (Hz2) to (Hz5) in two or more types of sensors, the information from 7 accelerometer units is given first priority and the other alarm comparison results are taken into account from 50 alarm transmission units. 2 is announced. Evaluation of the final result and error correction are determined by the following logic. When the input voltage of each sensor is larger than the set value (SV), the patient is on the bed and measurement is performed again with no problem. However, when the input voltage V of each sensor is smaller than the set value, there is a possibility that the subject patient does not exist on the bed. Here, “send bed alarm 1 is transmitted.” Next, when the response frequency (Hz) is also smaller than the set value (SHz), it is determined as “get out of bed” and the alarm 1 is ended. However, when the input voltage (V1) is larger than the set value (SV) and the response frequency (Hz) is also larger than the set value (SHz), it is predicted that the patient's movement is activated on the bed. As a result, the alarm 2 is autonomously corrected and the process ends.
The difference between the alarm 1 and the alarm 2 is distinguished by the difference between the blinking display and the lighting display on the display board of the server. On the other hand, it is possible to distinguish between colors to be displayed and to enable warning by voice.

FIG. 9 is a block diagram illustrating the bed leaving and bed leaving prediction system using the plurality of sensors illustrated in FIGS. 1 to 3. The 7 accelerometer unit is directly connected to the 42 comparison section (2), and the determination result output from the 38 pillow microcomputer is input as the first priority information. In addition, the 40 inputs CH (2) can be input with voltages of outputs of a 46 load recognition sensor (1), a 47 load recognition sensor (2), a 48 overlay sensor (2), and 49 other sensors. As shown in the figure, the 28 integrated microcomputers operate from a battery and a power source for home appliances. The 40-input CH (2), 41 storage unit (2), 42 comparison unit (2), and 43 end determination unit are composed of a CPU and its control program. The 40 inputs CH (2) are supplied with voltages according to measurement conditions from the sensors 46, 47, 48, and 49 as V1, V2, V3, and V4. Note that, as described in FIG. 8, when the input voltages V1 to V4 are equal to or higher than the set value S, another sensor input is compared with the set value again without transmitting from the 44 output unit (2). However, when the input voltages V1 to V4 are the same or lower than the set value S, the result is stored in the storage unit and the result of the sensor input in which the set value S of the other sensor is the same or lower is awaited. If priority is given to these four types of sensor input results and two or more sensor results are equal to or less than the set value S, the result is immediately compared with the determination result of the 7-acceleration watch sensor by the program logic. An alarm corresponding to the result is issued from the 50 alarm transmission unit. In the comparison between the set value S and the output voltages V1 to V4 from each sensor, the 42 comparison unit (2) warns 1 when the measured voltage is smaller than the set value S when there are two or more types of sensors determined as above. To send. When the patient is not on the bed, the output voltage is very close to 0, and when the frequency response per minute is small, it is determined that the person is getting out of bed. Also, when the input voltage (V1) from the 7 accelerometer unit is smaller than the set value (SV) and the frequency response (Hz1) fluctuates significantly in one minute, it is judged as “predicted bed separation” and the alarm is switched to 2. . The 44 output unit (2) holds the operation of the 50 alarm transmission unit until it is reset by the administrator of the 29 display monitor (server). In the present invention, because of the determination by the comparison method using many sensors, it is possible to more accurately determine the judgment distinction between “getting out of bed” and “getting out of bed”. Even if this occurs, the caregiver or nurse can determine the priority order for the patient to be dispatched.

DESCRIPTION OF SYMBOLS 1 Power supply connector 2 Control capsule 3 Charging unit 4 Fixing wire 5 Fastening bracket 6 Pillow body 7 Accelerometer unit 8 Microcomputer 9 Transmission unit 10 Microcomputer connector 11 Surface fastener 12 Lead wire 13 Overlay sensor 14 Protective film 15 Piezo film 16 Thin cloth 17 Tension adjusting bracket 18 Piezo cable 19 Wire 20 Flexible bar 21 Microcomputer connector 22 Adjustment nut 23 Lifting bracket 24 Fixing nut 25 Flexible joint 26 Caulking bracket 27 Mounting bracket 28 General microcomputer 29 Display monitor (server)
30 Hub 31 Receiver 32 Router 33 Internet 34 Input CH
35 Comparison Unit 36 Output Unit 37 Storage Unit 38 Pillow Microcomputer 39 Router (2)
40 Input CH (2)
41 Storage unit (2)
42 Comparison part (2)
43 End determination unit 44 Output unit (2)
45 Transmission unit (2)
46 load recognition sensor (1)
47 load recognition sensor (2)
48 Top sensor (2)
49 Other sensors 50 Alarm transmission unit

Claims (2)

An accelerometer that is provided in the pillow body and vibrates due to the vibration and load of the pillow body;
Judgment means for judging bed removal and bed prediction of the user of the pillow body from the output voltage and frequency response of the accelerometer,
Intelligent bed and bed prediction sensor system . An accelerometer that is provided in the pillow body and vibrates due to the vibration and load of the pillow body;
Piezo film that is attached to a duvet cover or blanket cover and outputs a voltage by plastic deformation;
A load sensor provided on each of the upper back part of the bed and the waist part of the central part of the bed and using a piezo cable;
Determining means for determining the bed user's bed and bed prediction based on the output voltage and frequency response of each of the accelerometer, the piezoelectric film, and the load sensors;
Intelligent bed and bed prediction sensor system .

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