CN113096801B - Human body falling risk assessment system and method based on gravity line monitoring - Google Patents

Human body falling risk assessment system and method based on gravity line monitoring Download PDF

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CN113096801B
CN113096801B CN202110301683.4A CN202110301683A CN113096801B CN 113096801 B CN113096801 B CN 113096801B CN 202110301683 A CN202110301683 A CN 202110301683A CN 113096801 B CN113096801 B CN 113096801B
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gravity line
pressure
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CN113096801A (en
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朱志斌
孙宇庆
唐强
吴静晔
吴天宇
郎昭
王红伟
陈国宇
步海明
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    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/1036Measuring load distribution, e.g. podologic studies
    • A61B5/1038Measuring plantar pressure during gait
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1116Determining posture transitions
    • A61B5/1117Fall detection

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Abstract

The invention discloses a human body falling risk assessment system and method based on gravity line monitoring, which are characterized in that the gravity line change of a human body is continuously monitored, the swinging condition of the gravity line is measured, the swinging mode is analyzed, the balance system data of a tested person can be obtained, and the balance system data is further compared with an assessment standard to quantitatively assess the human body falling risk; when the method is applied to medical treatment and health detection, the severity of the damage of a patient balance system can be known, the risk degree of the balance disorder of a tester can be roughly determined, and the method is suitable for postoperative patient care evaluation and old people fall risk evaluation; the method has great guiding significance for the evaluation and diagnosis of patients with balance dysfunction, analyzes the movement range of the gravity line of the patients in a standing state, is more close to the daily life state of the human body, has more accurate reflection on the actual condition of the patients, has objective, scientific and reliable evaluation results, and provides new reference indexes for clinical research, decision making and prognosis evaluation.

Description

Human body falling risk assessment system and method based on gravity line monitoring
Technical Field
The invention relates to the field of human health detection products, in particular to a human falling risk assessment system and method based on gravity line monitoring.
Background
Falls are a major factor in health risk for elderly people, and the probability of falling over 65 years old is as high as 28% -33% per year, and in addition, diseases related to balance can also lead to falls.
The existing human body falling risk assessment method adopts professionals to assess the falling risk of a tested person according to the physiological health condition and the limb movement capacity of the tested person and a preset falling risk assessment table. The defects are that: the existing evaluation method has strong subjectivity, and the influence of a tester and a tested person on the evaluation result is large, specifically, the detection result is influenced by the tested person and the test time, and the same person can not achieve the consistent detection standard when measuring at different times; lack of scientific quantitative data support; the human body maintains standing balance to prevent falling, the gravity center track needs to be stabilized in a certain range of the two-foot supporting surface, and the prior art does not have a precedent of prejudging the falling risk of the human body according to the gravity center track data.
Disclosure of Invention
The invention aims to provide a human body falling risk assessment system and method based on gravity line monitoring, which can quantitatively assess human body falling risk by measuring the change range of the gravity center position of a human body.
In order to solve the above technical problems, the present invention provides a human body fall risk assessment system based on gravity line monitoring, including: the device comprises communication equipment, plantar pressure measuring equipment and a control device, wherein the communication equipment is in signal connection with the plantar pressure measuring equipment and the control device, the plantar pressure measuring equipment is used for measuring plantar pressure of a tested person in real time, acquiring plantar pressure data of the tested person, transmitting the plantar pressure data of the tested person to the control device through the communication equipment, the control device receives the pressure data and calculates gravity line data of the tested person based on the pressure data, and the control device is also used for comparing and analyzing the gravity line data of the tested person with an evaluation standard and judging falling risks of the tested person.
According to a specific embodiment of the invention, the plantar pressure measuring device is a plantar pressure measuring flat plate and comprises a detecting device and a signal acquisition device, wherein the detecting device is arranged in a standing area of a tested person, a plurality of pressure test points are distributed in the standing area in a matrix mode, each pressure test point is provided with a pressure sensor for measuring plantar pressure data of the tested person, and the signal acquisition device is used for acquiring the pressure data of the pressure sensor in real time and transmitting the pressure data to the control device.
According to a specific embodiment of the present invention, the gravity line data includes a sagittal gravity line swing ratio of the tested person, and the sagittal gravity line swing ratio a is calculated according to the following formula: a=l 1/L2;
Wherein, L 1 is the swing amplitude of the gravity line of the sagittal plane direction of the tested person, and L 2 is the swing amplitude of the gravity line when the tested person leans forwards and backwards to the limit position;
the gravity line data also comprises a coronal gravity line swing ratio of the tested person, and the calculation formula of the coronal gravity line swing ratio B is as follows: b=l 3/L4;
Wherein L 3 is the swing amplitude of the gravity line in the direction of the coronal plane of the tested person, and L 4 is the swing amplitude of the gravity line when the tested person leans left and right to the limit position.
According to a specific embodiment of the present invention, the position of the gravity line of the tested person coincides with the normal vector direction of the pressure center, and the calculation formula of the pressure center coordinate is:
wherein X and Y are the abscissa and the ordinate of the plantar pressure center;
k x i denotes the sensor coefficient of the ith pressure sensor abscissa;
x i represents the x-axis coordinate value corresponding to the ith pressure sensor;
k y i denotes a sensor coefficient of the ordinate of the ith pressure sensor;
y i represents a y-axis coordinate value corresponding to the i-th pressure sensor;
V i represents the pressure data measured by the pressure sensor at that location;
a represents a correction coefficient of an abscissa, and a default value is 0;
b represents a correction coefficient of an ordinate, and the default value is 0;
n is the total number of pressure sensors in the x-axis direction;
m is the total number of pressure sensors in the y-axis direction.
According to one embodiment of the invention, the evaluation criterion is a calibration value based on the measured gravity line data of the healthy population, or the measured gravity line data of the subject history.
According to one embodiment of the invention, the communication device comprises a wired communication device and/or a wireless communication device.
According to a specific embodiment of the invention, it further comprises a storage device for storing said pressure data and said gravity line data, said storage device being connected to said control means.
According to a specific embodiment of the present invention, the device further comprises a display device, wherein the display device is connected with the control device, and the display device is used for displaying the gravity line data.
According to a specific embodiment of the invention, the device further comprises a voice prompt device, and the voice prompt device is connected with the control device.
The invention also provides a human body falling risk assessment method based on gravity line monitoring, which comprises the following specific steps:
obtaining plantar pressure data of a tested person;
calculating gravity line data based on the plantar pressure data;
And comparing the gravity line data with an evaluation standard, and judging the falling risk of the tested person.
According to one embodiment of the invention, the method for acquiring the plantar pressure data of the tested person comprises the following steps:
the bare feet of the tested person naturally stand on the plantar pressure measuring equipment for measurement, and plantar pressure data of the tested person when the tested person naturally stands are obtained;
the feet of the tested person are motionless, the foot pressure measuring equipment is inclined in the left, right, front and back directions, and foot pressure data when the tested person is inclined to the extreme position in the left, right, front and back directions are obtained;
The tested person naturally stands on the plantar pressure measuring equipment after closing eyes, and plantar pressure data of the tested person in a preset time period are obtained and counted.
According to one embodiment of the present invention, the calculating gravity line data of the tested person based on the plantar pressure data is specifically:
Calculating the position of the pressure center of the tested person according to the plantar pressure data of the tested person when the tested person stands naturally, wherein the normal vector direction of the pressure center of the tested person coincides with the gravity line of the tested person;
Calculating the limit swing range of the gravity line of the tested person according to the sole pressure data when the tested person inclines to the limit position in the left, right, front and back directions;
according to the sole pressure data of the tested person in the preset time length, calculating the natural swinging range of the gravity line of the tested person;
And calculating the sagittal plane gravity line swing ratio and the coronal plane gravity line swing ratio of the tested person according to the gravity line limit swing range and the gravity line natural swing range.
According to one embodiment of the invention, the evaluation criterion is a calibration value based on the measured gravity line data of the healthy population, or the measured gravity line data of the subject history.
The invention has the technical effects that: according to the human body falling risk assessment system and method based on gravity line monitoring, the gravity center change of a human body is continuously monitored, the swinging condition of the gravity line is measured, the swinging condition of the gravity line within a certain time is recorded, the swinging mode is analyzed, balance system data of a tested person can be obtained, the balance system data can be further compared with an assessment standard, and the human body falling risk is quantitatively assessed according to the information; when the invention is applied to medical treatment and health detection, the severity of the damage of a patient balance system can be known, and the risk degree of the balance disorder of a tester can be roughly determined through a swinging mode, so that the invention has great guiding significance for the evaluation and diagnosis of the patient with the balance disorder caused by various reasons, and is suitable for the postoperative patient care evaluation and the evaluation of the fall risk of the old; the gravity line movement range of the patient in the standing state is analyzed, the patient is more close to the daily life state of the human body, the actual condition of the patient is more accurately reflected, the evaluation result is objective, scientific and reliable, and a new reference index is provided for clinical research, decision making and prognosis evaluation.
Drawings
Fig. 1 is a schematic diagram of the composition and structure of a human fall risk assessment system according to an embodiment of the present invention;
fig. 2 is a flowchart of basic steps of a human fall risk assessment method according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a composition structure of a human fall risk assessment system according to an embodiment of the present invention;
Fig. 4 is a schematic diagram of a testing process of the human fall risk assessment system according to an embodiment of the present invention;
Fig. 5 is a graph showing the range of variation of the normal gravity line swing of a subject in accordance with an embodiment of the present invention.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and specific examples, which are not intended to limit the invention, so that those skilled in the art may better understand the invention and practice it.
Fig. 1 is a schematic diagram of a composition structure of a personal fall risk assessment system based on gravity line monitoring according to the present invention, including: the device comprises communication equipment, plantar pressure measuring equipment and a control device, wherein the communication equipment is in signal connection with the plantar pressure measuring equipment and the control device, the plantar pressure measuring equipment is used for measuring plantar pressure of a tested person in real time, acquiring plantar pressure data of the tested person, transmitting the plantar pressure data of the tested person to the control device through the communication equipment, the control device receives the pressure data and calculates gravity line data of the tested person based on the pressure data, and the control device is further used for comparing and analyzing the gravity line data of the tested person with an evaluation standard and judging falling risks of the tested person.
The plantar pressure measuring equipment is a plantar pressure measuring flat plate and comprises a detecting device and a signal acquisition device, wherein the detecting device is arranged in a standing area of a tested person, a plurality of pressure test points are distributed in the standing area in a matrix mode, each pressure test point is provided with a pressure sensor for measuring plantar pressure data of the tested person, and the signal acquisition device is used for acquiring the pressure data of the pressure sensor in real time and transmitting the pressure data to the control device.
The gravity line data comprise a sagittal plane gravity line swing ratio and a coronal plane gravity line swing ratio of the tested person;
The calculation formula of the sagittal plane gravity line swing ratio A is as follows: a=l 1/L2, wherein L1 is the swing amplitude of the gravity line in the sagittal plane direction of the tested person, and L2 is the swing amplitude of the gravity line when the tested person leans forwards and backwards to the limit position;
The calculation formula of the crown plane gravity line swing ratio B is as follows: b=l 3/L4, L3 is the swing amplitude of the gravity line in the coronal plane direction of the subject, and L4 is the swing amplitude of the gravity line when the subject leans left and right to the limit position.
The position of the gravity line of the tested person coincides with the normal vector direction of the pressure center, so the gravity line position of the tested person is determined by calculating the pressure center, and the calculation formula of the pressure center coordinate is as follows:
wherein X and Y are the abscissa and the ordinate of the plantar pressure center;
k x i denotes the sensor coefficient of the ith pressure sensor abscissa;
x i represents the x-axis coordinate value corresponding to the ith pressure sensor;
k y i denotes a sensor coefficient of the ordinate of the ith pressure sensor;
y i represents a y-axis coordinate value corresponding to the i-th pressure sensor;
V i represents the pressure data measured by the pressure sensor at that location;
a represents a correction coefficient of an abscissa, and a default value is 0;
b represents a correction coefficient of an ordinate, and the default value is 0;
n is the total number of pressure sensors in the x-axis direction;
m is the total number of pressure sensors in the y-axis direction.
In particular, the evaluation criterion may be a calibration value for gravity line data measured based on a healthy population, or gravity line data measured by a tester history.
The communication device comprises a wired communication device and/or a wireless communication device, and the communication protocol comprises at least one of USB, type-C, bluetooth, WIFI and 5G, and according to one embodiment of the invention, the communication device supports both wired and wireless modes.
As shown in fig. 3, according to an embodiment of the present invention, the personal fall risk assessment system further includes a storage device for storing pressure data and gravity line data, the storage device being connected to the control apparatus; further, the storage device may also be used to store tester information and evaluation criteria entered by the tester.
As shown in fig. 3, according to an embodiment of the present invention, the personal fall risk assessment system further includes a display device, which is connected to the control apparatus, and is configured to display the gravity line data.
As shown in fig. 3, according to one embodiment of the present invention, the personal fall risk assessment system further includes a voice prompt device for guiding the tested person to perform a complete risk assessment test according to a test procedure, and specifically, the voice prompt device includes a detection unit, a judgment unit, a control unit, and a voice player, where the detection unit detects a test state of the tested person;
The judging unit is used for judging whether the test state of the tested person meets the preset voice prompt condition, if so, acquiring a target voice file which is a voice file corresponding to the preset prompt condition and is a file played through natural language, and further controlling the voice player to play the target voice file by the control unit to prompt;
Wherein judging whether the test state of the tested person meets the preset voice prompt condition comprises the following steps: judging whether the current test item is completed or not, wherein the acquired target file comprises: if the current test item is judged to be completed; searching a voice prompt file corresponding to the next test item.
Specifically, according to one embodiment of the present invention, as shown in fig. 4, the control device is an upper computer software, the tested person stands in a standing area of the plantar pressure measurement panel, the standing area is provided with a matrix sensor, and a display interface of the upper computer software displays the measured plantar pressure data of the tested person in real time, including a plantar pressure map and specific values.
The invention also provides a human body falling risk assessment method based on gravity line monitoring, which comprises the following steps:
obtaining plantar pressure data of a tested person;
calculating gravity line data based on the plantar pressure data;
And comparing the gravity line data with an evaluation standard, and judging the falling risk of the tested person.
As shown in fig. 2, one embodiment of the method according to the invention, the specific evaluation step comprises: step1: obtaining plantar pressure data of a tested person;
The method specifically comprises the following sub-steps: 101. registering the tested person information: the information comprises the name, sex, age, height, weight and other data of the tested person; 102. acquiring pressure data and calculating a pressure center coordinate: the bare feet of the tested person naturally stand on the sole pressure measuring flat plate, balance is kept, and measurement is carried out; the control device receives and stores the pressure data measured by the plantar measuring plate, calculates the pressure center coordinate of the tested person in a natural standing state, and determines the gravity line position of the tested person;
The position of the gravity line of the tested person coincides with the normal vector direction of the pressure center, so the gravity line position of the tested person is determined by calculating the pressure center, and the calculation formula of the pressure center coordinate is as follows:
wherein X and Y are the abscissa and the ordinate of the plantar pressure center;
k x i denotes the sensor coefficient of the ith pressure sensor abscissa;
x i represents the x-axis coordinate value corresponding to the ith pressure sensor;
k y i denotes a sensor coefficient of the ordinate of the ith pressure sensor;
y i represents a y-axis coordinate value corresponding to the i-th pressure sensor;
V i represents the pressure data measured by the pressure sensor at that location;
a represents a correction coefficient of an abscissa, and a default value is 0;
b represents a correction coefficient of an ordinate, and the default value is 0;
n is the total number of pressure sensors in the x-axis direction;
m is the total number of pressure sensors in the y-axis direction; the normal vector of the pressure center coincides with the vector direction of the body gravity line of the tested person.
103. Acquiring the swing limit position of the gravity line of the tested person: the light feet of the tested person naturally stand on the plantar pressure testing flat plate, pressure data when the tested person leans left, leans right, leans forward and leans backward to the limiting positions are respectively measured, and the control device calculates the left limiting position (m 1,n1), the right limiting position (m 2,n2), the front limiting position (m 3,n3) and the rear limiting position (m 4,n4) of the pressure center of the tested person according to the measured pressure data.
104. Acquiring the swing change range of the gravity line of the tested person under normal conditions: the tested person keeps the state that the double arms extend forwards, acquires and counts the plantar pressure data measured by the tested person in 30 seconds when the closed eyes naturally stand on the plantar pressure measuring plate, and detects the gravity line change track under the normal condition of the human body by a method for calculating the gravity line moving range of the tested person in the closed eyes state;
It should be understood that 30 seconds is only a measurement duration of a preferred embodiment of the present invention, and other durations may be actually selected to perform data measurement according to circumstances in a specific application; for example, the predetermined time length can be selected to be 30s, 45s or 60s, and the gravity line swing range of the tested person when the tested person closes the eyes and stands in the period of time is counted and calculated;
The gravity line swing range is processed in real time by transmitting pressure data acquired in real time to a control device; the control device stores the received pressure data, calculates the real-time pressure center position and performs dynamic updating display, records the pressure center position change of the tested person within 30 seconds continuously, and draws a pressure center position change curve which is a continuous drift change curve, as shown in fig. 5; according to the curve, the pressure center swing outer contour boundaries of the tested person in the left, right, front and back directions in the natural standing state when the tested person closes eyes are respectively a left outer contour boundary (c 1,d1), a right outer contour boundary (c 2,d2), a front outer contour boundary (c 3,d3) and a back outer contour boundary (c 4,d4).
Step 2, calculating gravity line data based on plantar pressure data;
the gravity line data comprise a sagittal plane gravity line swing ratio and a coronal plane gravity line swing ratio of the tested person;
the calculation formula of the sagittal plane gravity line swing ratio A is as follows: a=l 1/L2;
Wherein:
L 1 is the swing amplitude of the gravity line of the sagittal plane (front and back of the human body) of the tested person, L 2 is the swing amplitude of the gravity line when the tested person leans forwards and backwards to the limit position, and the calculation formula is as follows:
the calculation formula of the crown plane gravity line swing ratio B is as follows: b=l 3/L4;
Wherein:
l 3 is the swing amplitude of the gravity line in the direction of the coronal plane (left and right of the human body) of the tested person, L 4 is the swing amplitude of the gravity line when the tested person leans left and right to the limit position, and the calculation formula is as follows:
Step 3, comparing the gravity line data with an evaluation standard, and judging the falling risk of the tested person;
Firstly, determining an evaluation standard; and then comparing and analyzing the sagittal plane gravity line swing ratio A and the coronal plane gravity line swing ratio B obtained by the test of the tested person with the sagittal plane gravity line swing ratio and the coronal plane gravity line swing ratio corresponding to the evaluation standard, and evaluating the falling risk of the tested person according to the result of the comparison and analysis.
It should be appreciated that during all testing, the person to be tested needs to stand on the flat plate with both feet still; the relative position can be slightly adjusted when standing each time, the feet can stand around the central position in the standing area of the plantar pressure measuring flat plate, namely, each tested person stands in a certain mode in the testing process, and the measuring precision is higher.
In one embodiment of the invention, the evaluation standard is healthy people, and healthy people with different sexes, ages, heights and weights refer to healthy people with a body balance system in advance, and a sagittal plane gravity line swing ratio nominal reference value database A n and a coronal plane gravity line swing ratio nominal reference value database B n are established; when the falling risk assessment is carried out on the tested person, the corresponding nominal reference value A n、Bn is called according to the gender, age, height and weight of the tested person, the gravity line swing ratio A, B and A n,Bn of the tested person are compared, if A n > A and B n > B, the falling risk level of the tested person is lower, and otherwise, if A n < A and B n < B, the balance system of the tested person is abnormal.
In another embodiment of the present invention, the evaluation criterion is a pre-treatment condition of the subject; for example, the sagittal gravity line swing ratio a 1 and the coronal gravity line swing ratio B 1 are measured before and after the operation of the tested person, respectively, and stored, and after the operation treatment of the tested person, the tested person is tested to obtain the treated sagittal gravity line swing ratio a 2 and the coronal gravity line swing ratio B 2, if the test person is A 2<A1 and B 2<B1, the falling risk of the tested person is reduced compared with the previous test person, otherwise, the risk is increased; correspondingly, measurement and comparison analysis can be respectively carried out in different time periods of the recovery period of the disease treatment, so as to determine the recovery condition of the tested person.
The evaluation method can be widely applied to the nursing evaluation of patients after surgical operation, can also be used for the evaluation of fall risks of inpatients, and provides a new reference index for clinical research, decision making and prognosis evaluation.
According to the embodiment of the invention, through continuous monitoring of the gravity line position coordinates, the upper computer software can display the change condition of the gravity line of the patient at the current moment in real time, generate corresponding images and curves, and the obtained data is convenient for assisting a doctor in clinical research and remote falling risk assessment consultation.
The above-described embodiments are merely preferred embodiments for fully explaining the present invention, and the scope of the present invention is not limited thereto. Equivalent substitutions and modifications will occur to those skilled in the art based on the present invention, and are intended to be within the scope of the present invention. The protection scope of the invention is subject to the claims.

Claims (8)

1. A human fall risk assessment system based on gravity line monitoring, comprising: the device comprises communication equipment, plantar pressure measurement equipment and a control device, wherein the communication equipment is in signal connection with the plantar pressure measurement equipment and the control device, the plantar pressure measurement equipment is used for measuring plantar pressure of a tested person in real time, acquiring the plantar pressure data of the tested person, transmitting the plantar pressure data of the tested person to the control device through the communication equipment, the control device receives the pressure data and calculates gravity line data of the tested person based on the pressure data, and the control device is also used for comparing and analyzing the gravity line data of the tested person with an evaluation standard and judging falling risk of the tested person;
The plantar pressure measuring equipment is a plantar pressure measuring flat plate and comprises a detecting device and a signal acquisition device, wherein the detecting device is arranged in a standing area of a tested person, a plurality of pressure test points are distributed in the standing area in a matrix manner, each pressure test point is provided with a pressure sensor for measuring plantar pressure data of the tested person, and the signal acquisition device is used for acquiring the pressure data of the pressure sensor in real time and transmitting the pressure data to the control device;
The gravity line data comprise a sagittal plane gravity line swing ratio of the tested person, and the sagittal plane gravity line swing ratio A has a calculation formula as follows: a=l 1/L2;
Wherein, L 1 is the swing amplitude of the gravity line of the sagittal plane direction of the tested person, and L 2 is the swing amplitude of the gravity line when the tested person leans forwards and backwards to the limit position;
the gravity line data also comprises a coronal gravity line swing ratio of the tested person, and the calculation formula of the coronal gravity line swing ratio B is as follows: b=l 3/L4;
wherein, L 3 is the swing amplitude of the gravity line in the direction of the coronal plane of the tested person, and L 4 is the swing amplitude of the gravity line when the tested person leans left and right to the limit position;
The position of the gravity line of the tested person coincides with the normal vector direction of the pressure center of the tested person, and the calculation formula of the pressure center coordinate is as follows:
wherein X and Y are the abscissa and the ordinate of the plantar pressure center;
k x i denotes the sensor coefficient of the ith pressure sensor abscissa;
x i represents the x-axis coordinate value corresponding to the ith pressure sensor;
k y i denotes a sensor coefficient of the ordinate of the ith pressure sensor;
y i represents a y-axis coordinate value corresponding to the i-th pressure sensor;
V i represents the pressure data measured by the pressure sensor at that location;
a represents a correction coefficient of an abscissa, and a default value is 0;
b represents a correction coefficient of an ordinate, and the default value is 0;
n is the total number of pressure sensors in the x-axis direction;
m is the total number of pressure sensors in the y-axis direction.
2. The personal fall risk assessment system according to claim 1, wherein the assessment criterion is a calibration value based on gravity line data measured by a healthy population, or gravity line data historically measured by the subject.
3. A personal fall risk assessment system according to claim 1, wherein: the communication equipment comprises wired communication equipment and/or wireless communication equipment.
4. A personal fall risk assessment system according to claim 1, further comprising a storage device for storing the pressure data and the gravity line data, the storage device being connected to the control means.
5. A personal fall risk assessment system according to claim 1, wherein: the device also comprises a display device, wherein the display device is connected with the control device and is used for displaying the gravity line data.
6. A personal fall risk assessment system according to claim 1, wherein: the voice prompt device is connected with the control device.
7. The human body falling risk assessment method based on gravity line monitoring is characterized by comprising the following specific steps of:
obtaining plantar pressure data of a tested person;
calculating gravity line data based on the plantar pressure data;
Comparing the gravity line data with an evaluation standard, and judging the falling risk of the tested person;
The specific method for acquiring the plantar pressure data of the tested person comprises the following steps:
the bare feet of the tested person naturally stand on the plantar pressure measuring equipment for measurement, and plantar pressure data of the tested person when the tested person naturally stands are obtained;
the feet of the tested person are motionless, the foot pressure measuring equipment is inclined in the left, right, front and back directions, and foot pressure data when the tested person is inclined to the extreme position in the left, right, front and back directions are obtained;
the tested person naturally stands on the plantar pressure measuring equipment after closing eyes, and plantar pressure data of the tested person in a preset time period are obtained and counted;
The calculation of the gravity line data of the tested person based on the plantar pressure data is specifically as follows:
Calculating the position of the pressure center of the tested person according to the plantar pressure data of the tested person when the tested person stands naturally, wherein the normal vector direction of the pressure center of the tested person coincides with the gravity line of the tested person;
Calculating the limit swing range of the gravity line of the tested person according to the sole pressure data when the tested person inclines to the limit position in the left, right, front and back directions;
according to the sole pressure data of the tested person in the preset time length, calculating the natural swinging range of the gravity line of the tested person;
calculating the sagittal plane gravity line swing ratio and the coronal plane gravity line swing ratio of the tested person according to the gravity line limit swing range and the gravity line natural swing range;
The position of the gravity line of the tested person coincides with the normal vector direction of the pressure center of the tested person, and the calculation formula of the pressure center coordinate is as follows:
wherein X and Y are the abscissa and the ordinate of the plantar pressure center;
k x i denotes the sensor coefficient of the ith pressure sensor abscissa;
x i represents the x-axis coordinate value corresponding to the ith pressure sensor;
k y i denotes a sensor coefficient of the ordinate of the ith pressure sensor;
y i represents a y-axis coordinate value corresponding to the i-th pressure sensor;
V i represents the pressure data measured by the pressure sensor at that location;
a represents a correction coefficient of an abscissa, and a default value is 0;
b represents a correction coefficient of an ordinate, and the default value is 0;
n is the total number of pressure sensors in the x-axis direction;
m is the total number of pressure sensors in the y-axis direction.
8. The method for assessing the risk of falling over of a person based on the monitoring of the gravity line according to claim 7, wherein the assessment criterion is a calibration value of the gravity line data based on the measurement of the healthy population, or the gravity line data measured by the history of the person under test.
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201248696Y (en) * 2008-06-24 2009-06-03 王培勇 Body balance detecting instrument
TWM469929U (en) * 2013-07-19 2014-01-11 Cycling & Health Tech Ind R&D Balanced reaction training device
CN104346518A (en) * 2014-04-29 2015-02-11 奥美之路(北京)技术顾问有限公司 Chinese population static balance capability assessment model
CN109979595A (en) * 2019-02-22 2019-07-05 福州大学 A kind of classification method of the support vector machines ankle wound rehabilitation assessment result based on plantar pressure detection

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI562100B (en) * 2013-05-03 2016-12-11 Ind Tech Res Inst Device and method for monitoring postural and movement balance for fall prevention

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201248696Y (en) * 2008-06-24 2009-06-03 王培勇 Body balance detecting instrument
TWM469929U (en) * 2013-07-19 2014-01-11 Cycling & Health Tech Ind R&D Balanced reaction training device
CN104346518A (en) * 2014-04-29 2015-02-11 奥美之路(北京)技术顾问有限公司 Chinese population static balance capability assessment model
CN109979595A (en) * 2019-02-22 2019-07-05 福州大学 A kind of classification method of the support vector machines ankle wound rehabilitation assessment result based on plantar pressure detection

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