CN107967931B - Body balance data collector - Google Patents
Body balance data collector Download PDFInfo
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- CN107967931B CN107967931B CN201711479073.3A CN201711479073A CN107967931B CN 107967931 B CN107967931 B CN 107967931B CN 201711479073 A CN201711479073 A CN 201711479073A CN 107967931 B CN107967931 B CN 107967931B
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- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 3
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
- A61B5/053—Measuring electrical impedance or conductance of a portion of the body
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1116—Determining posture transitions
- A61B5/1117—Fall detection
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1121—Determining geometric values, e.g. centre of rotation or angular range of movement
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4866—Evaluating metabolism
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4869—Determining body composition
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4869—Determining body composition
- A61B5/4872—Body fat
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- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The invention provides a body balance data acquisition unit, which comprises: the main board is arranged on the bottom board of the balance; the pressure sensor is arranged on the bottom plate and connected with the main board, and is used for outputting human pressure data to the main board; the electrode plate is arranged on the upper side plate of the balance and connected with the main plate, and is used for outputting human body electrical impedance data to the main plate; the main board is used for receiving the human body pressure data and outputting human body anti-falling grade data, and the main board is used for receiving the human body electrical impedance data and outputting the human body related index data. Through setting up electrode slice and pressure sensor to and through built-in treater in order to carry out calculation and the determination of correlation index, and demonstrate for the user through the display screen, make the user can obtain self correlation health index easily, can learn self health condition in real time, simultaneously, through setting up a plurality of pressure sensor, can collect the pressure focus change of human in real time, thereby can confirm user's anti-drop level.
Description
Technical Field
The invention relates to the technical field of electronic devices, in particular to a body balance data acquisition device.
Background
At present, the life rhythm is faster and faster, the working pressure is higher and higher, people pay more attention to the self health condition, but the health condition of people cannot be monitored in real time due to various condition limitations. However, almost all of our homes have body weight scales. Only less than one minute is needed to know the recent change of the body weight. Along with the progress of technology, a weighing scale capable of measuring fat, moisture and the like in addition to body weight is also appeared in the market, namely a human body fat scale. Various scales enter our daily lives, and play an important role in monitoring the health condition of our bodies. However, the above-mentioned body fat scales do not measure the body balance function.
Disclosure of Invention
In view of this, the present invention proposes a body balance data collector, which aims to solve the problem of measuring the body balance index.
In one aspect, the present invention provides a body balance data collector comprising: the main board is arranged on the bottom board of the balance; the pressure sensor is arranged on the bottom plate and connected with the main board, and is used for outputting human pressure data to the main board; the electrode plate is arranged on the upper side plate of the balance and connected with the main board, and is used for outputting human body electrical impedance data to the main board; the main board is used for receiving the human body pressure data and outputting human body anti-falling grade data, and the main board is used for receiving the human body electrical impedance data and outputting the human body related index data.
Further, the main board comprises an MCU processor for processing the input human body pressure data and human body electrical impedance data.
Further, the MCU processor, when processing the human pressure data: collecting pressure gravity center data of a body to be detected; processing the pressure gravity center data by adopting a multi-scale entropy algorithm to obtain an area value under a multi-scale entropy curve, wherein the area value is used as the complexity of the pressure gravity center data and used for measuring the balance of the body to be measured; determining a gravity center track of the pressure gravity center data, and calculating the area of a graph formed by the gravity center track to obtain the pressure gravity center track area which is used for measuring the balance of the body to be measured; and measuring the balance of the to-be-measured body through the ratio of the track area to the complexity.
Further, when calculating the pressure gravity center track area, determining extreme points of the graph according to the position of the graph in a coordinate system, continuously rotating the graph in the coordinate system by a preset angle, determining the extreme points of the graph after each rotation, ending the rotation operation until the graph rotates 180 degrees, and connecting all the extreme points end to form the graph of the gravity center track.
Further, the graph of the gravity center track is split into N-2 triangles, the area of the pressure gravity center track is the sum of the areas of the N-2 triangles, N is the number of extreme points of the graph, and N is an integer greater than 2.
Further, after the rotation operation is finished, performing the deduplication operation on all the extreme points, only reserving one extreme point located at the same position in the graph, and determining the graph of the gravity center track according to the extreme point after the deduplication operation.
Further, when the complexity is determined, decomposing the pressure gravity center data, removing noise, other high-frequency components and part of low-frequency components in the pressure gravity center data, recombining the pressure gravity center data, and analyzing the recombined pressure gravity center data by using multi-scale entropy to obtain an overall area value of sample entropy under each scale as the complexity.
Further, the main board also comprises an input module for inputting the age, height and sex of the human body.
Further, the balance scale further comprises a display screen, wherein the display screen is arranged on the upper side plate and connected with the main board, and is used for displaying output data of the main board.
Further, the pressure sensors are at least four, and are respectively arranged at the four corners of the bottom plate.
Further, the electrode plate is ITO conductive glass.
Further, the ITO conductive glass is arranged on the surface of the upper side plate.
Further, the display screen displays the output data through the ITO conductive glass.
Further, the balance scale further comprises a power module, wherein the power module is arranged on the bottom plate and connected with the main board to provide power for the main board.
Further, the power module is an alkaline battery, a storage battery or a lithium battery.
The beneficial effects of the invention are as follows: the collector is provided with the electrode plate and the pressure sensor, calculates and determines the relevant indexes through the built-in processor, and displays the relevant indexes to a user through the display screen, so that the user can easily acquire the relevant health indexes of the user, can acquire the health conditions of the user in real time, and can collect the pressure gravity center change of a human body in real time through the plurality of pressure sensors, thereby determining the anti-falling grade of the user.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
FIG. 1 is a schematic diagram of a first chassis of a body balance data acquisition unit according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an upper plate of a body balance data acquisition unit according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a second chassis of a body balance data acquisition unit according to an embodiment of the present invention;
fig. 4 is a flowchart of a method for evaluating body balance of the body balance data collector according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art. It should be noted that, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other. The invention will be described in detail below with reference to the drawings in connection with embodiments.
Example 1
Fig. 1 and fig. 2 are schematic diagrams of a first bottom plate and a top plate of a body balance data collector according to an embodiment of the present invention. The collector is closed mutually by upper plate 9 and bottom plate 8 and constitutes, establishes each device on bottom plate 8, and the body balance data collector includes: a main board 1, a pressure sensor 2 and an electrode plate 3. The main board 1 is arranged on a bottom board 8 of the collector, the main board 1 is used for receiving human body pressure data and outputting human body anti-falling grade data, and the main board 1 is used for receiving the human body electrical impedance data and outputting the human body related index data; the pressure sensor 2 is arranged on the bottom plate 8 and connected with the main board 1 to output human pressure data to the main board 1; the electrode plate 3 is arranged on an upper side plate 9 of the collector, is connected with the main plate 1 and is used for outputting human body electrical impedance data to the main plate 1. The main board 1 further comprises an MCU processor for processing the input human body pressure data and human body electrical impedance data.
Specifically, the main board 1 is fixed on the bottom board 8, at least three pressure sensors 2 are arranged at four corners of the bottom board 8, and the main board 1 is connected with the pressure sensors 2 through connecting wires to transmit data; an electrode plate 3 is arranged on the upper side plate 9, and the electrode plate 3 is connected with the main plate 1 through a connecting wire to collect electrical impedance data of a human body; the MCU processor is fixed on the main board 1 for calculating and processing data.
Specifically, the main board 1 is further provided with an input module for inputting the age, height and sex of the human body. The input module can be directly fixed at a corresponding position on the main board 1, and a corresponding hole site is formed on the upper side board 9 so that the input module is exposed, and a user can perform corresponding input operation; alternatively, the input module is fixed to the upper side plate 9, not directly fixed to the main plate 1, but connected by a connection line.
Specifically, the collector further comprises a display screen 5, wherein the display screen 5 is arranged on the upper side plate 9 and connected with the main board 1 to display output data of the main board 1. The display screen 5 can be a display device which is independently arranged, can be a single-color or color display screen 5, and can only meet the requirement of displaying data, or the display screen 5 can also be a touch display screen 5, further has an input function, can transmit input data to the main board 1 for processing, namely, can be understood as combining an input module and the display screen 5 into a whole, and achieves the effects and purposes of better user experience and saving panel space.
Specifically, the electrode plate 3 is made of ITO conductive glass. The ITO conductive glass is provided on the surface of the upper side plate 9, and the display screen 5 can display data through the ITO conductive glass. The ITO conductive glass may be used as the upper side plate 9, or a support plate is disposed at the lower side of the ITO conductive glass to fix the ITO conductive glass and prevent it from being broken, or the ITO conductive glass is directly adhered to the upper side plate 9, and a light hole is formed on the upper side plate 9 to allow the display screen 5 to pass through, so that the display screen 5 can display data through the ITO conductive glass.
Specifically, the collector further includes a power module 4, where the power module 4 is disposed on the bottom plate 8 or on the upper side plate 9, and is connected to the main board 1, so as to provide power for the main board 1. The power module 4 may be an alkaline battery, a storage battery, a lithium battery, or the like, and only needs to be capable of providing power for the collector.
Specifically, firstly, pressure data of a human body is collected through the pressure sensor 2, the pressure data is transmitted to the main board 1, meanwhile, electrical impedance data of the human body is collected through the electrode sheet 3, and the pressure data is transmitted to the main board 1; the user inputs the data of age, height, sex and the like of the user through the input module and transmits the data to the main board 1; the main board 1 collects pressure data, electrical impedance data, age, height, sex and other data of a user, the MCU processor on the main board 1 is internally provided with a bioelectrical impedance algorithm and a body balance index algorithm, and the MCU processor combines the collected related data according to the built-in related algorithm to determine related data such as weight, fat rate, bone mass, BMI, water content, muscle content, basal metabolic rate, visceral fat index and the like of a human body. Specifically, at least three pressure sensors 2 are arranged to collect gravity center change information of a human body so as to determine an anti-falling grade index of the human body. After the MCU processor determines the data, the data are transmitted to the display screen 5 for display, so that a user can clearly know the self-related index data.
It can be understood that this collector is through setting up electrode slice 3 and pressure sensor 2 to and through the calculation and the determination of built-in treater in order to carry out relevant index, and demonstrate for the user through display screen 5, make the user can obtain self relevant health index easily, can be timely carry out real-time the knowing self health condition, simultaneously, this collector is through setting up same pressure sensor 2, can collect the pressure focus change of human in real time, thereby can confirm user's anti-drop level.
Example two
Fig. 3 and fig. 2 are schematic views of a second bottom plate and a top plate of a body balance data collector according to an embodiment of the present invention. The collector is closed mutually by upper plate 9 and bottom plate 8 and constitutes, establishes each device on bottom plate 8, and the body balance data collector includes: a main board 1, a pressure sensor 2, an electrode plate 3 and a transmission module 6. The main board 1 is arranged on a bottom board 8 of the collector, the main board 1 is used for receiving human body pressure data and outputting human body anti-falling grade data, and the main board 1 is used for receiving the human body electrical impedance data and outputting the human body related index data; the pressure sensor 2 is arranged on the bottom plate 8 and connected with the main board 1 to output human pressure data to the main board 1; the electrode plate 3 is arranged on an upper side plate 9 of the collector, is connected with the main plate 1 and is used for outputting human body electrical impedance data to the main plate 1; the transmission module 6 is arranged on the bottom plate 8 and is respectively connected with the main board 1 and the terminal, and is used for transmitting data output by the main board 1 to the terminal and transmitting data output by the terminal to the main board 1.
Specifically, the transmission module 6 may receive the human body related data output by the main board 1 and transmit the human body related data to the user terminal for display, so that the user may obtain the related data more conveniently; meanwhile, the transmission module 6 also receives information of age, height, gender and the like of the user output by the user terminal, and transmits the information to the main board 1, so that the main board 1 performs calculation of related data. The user terminal may be a mobile phone, a PC, a tablet or other terminal devices, the transmission module 6 is connected with the main board 1 and the terminal by adopting a wireless transmission and/or wired transmission mode, the wireless mode may be connected by adopting a wireless mode such as bluetooth, WIFI, zigbee, etc., the wired mode connects the transmission module 6 with the terminal by a data line, it is understood that the specific connection mode is not limited, and only the data can be transmitted. The transmission module 6 may be separately disposed on the bottom plate 8 of the collector, or may be directly disposed on the main board 1.
Specifically, the main board 1 is fixed on the bottom board 8, at least three pressure sensors 2 are arranged at four corners of the bottom board 8, and the main board 1 is connected with the pressure sensors 2 through connecting wires to transmit data; an electrode plate 3 is arranged on the upper side plate 9, and the electrode plate 3 is connected with the main plate 1 through a connecting wire to collect electrical impedance data of a human body; the MCU processor is fixed on the main board 1 for calculating and processing data.
Specifically, the main board 1 is further provided with an input module for inputting the age, height and sex of the human body. The input module can be directly fixed at a corresponding position on the main board 1, and a corresponding hole site is formed on the upper side board 9 so that the input module is exposed, and a user can perform corresponding input operation; alternatively, the input module is fixed to the upper side plate 9, not directly fixed to the main plate 1, but connected by a connection line.
Specifically, the collector further comprises a display screen 5, wherein the display screen 5 is arranged on the upper side plate 9 and connected with the main board 1 to display output data of the main board 1. The display screen 5 can be a display device which is independently arranged, can be a single-color or color display screen 5, and can only meet the requirement of displaying data, or the display screen 5 can also be a touch display screen 5, further has an input function, can transmit input data to the main board 1 for processing, namely, can be understood as combining an input module and the display screen 5 into a whole, and achieves the effects and purposes of better user experience and saving panel space.
Specifically, the electrode plate 3 is made of ITO conductive glass. The ITO conductive glass is provided on the surface of the upper side plate 9, and the display screen 5 can display data through the ITO conductive glass. The ITO conductive glass may be used as the upper side plate 9, or a support plate is disposed at the lower side of the ITO conductive glass to fix the ITO conductive glass and prevent it from being broken, or the ITO conductive glass is directly adhered to the upper side plate 9, and a light hole is formed on the upper side plate 9 to allow the display screen 5 to pass through, so that the display screen 5 can display data through the ITO conductive glass.
Specifically, the collector further includes a power module 4, where the power module 4 is disposed on the bottom plate 8 or on the upper side plate 9, and is connected to the main board 1, so as to provide power for the main board 1. The power module 4 may be an alkaline battery, a storage battery, a lithium battery, or the like, and only needs to be capable of providing power for the collector.
Specifically, firstly, pressure data of a human body is collected through the pressure sensor 2, the pressure data is transmitted to the main board 1, meanwhile, electrical impedance data of the human body is collected through the electrode sheet 3, and the pressure data is transmitted to the main board 1; the user inputs the data of age, height, sex and the like of the user through the input module and transmits the data to the main board 1; the main board 1 collects pressure data, electrical impedance data, age, height, sex and other data of a user, the MCU processor on the main board 1 is internally provided with a bioelectrical impedance algorithm and a body balance index algorithm, and the MCU processor combines the collected related data according to the built-in related algorithm to determine related data such as weight, fat rate, bone mass, BMI, water content, muscle content, basal metabolic rate, visceral fat index and the like of a human body. Specifically, at least three pressure sensors 2 are arranged to collect gravity center change information of a human body so as to determine an anti-falling grade index of the human body. After the MCU processor determines the data, the data are transmitted to the display screen 5 for display, so that a user can clearly know self-correlation index data, and meanwhile, the correlation index is transmitted to the terminal for display, and the user can acquire the self-correlation index at any time.
It can be understood that this collector is through setting up electrode slice 3 and pressure sensor 2 to and through the calculation and the determination of built-in treater in order to carry out relevant index, and demonstrate for the user through display screen 5, make the user can obtain self relevant health index easily, can be timely carry out real-time the knowing self health condition, simultaneously, this collector is through setting up same pressure sensor 2, can collect the pressure focus change of human in real time, thereby can confirm user's anti-drop level.
Specifically, an application program is written on the terminal, the application program can exchange data with the collector, display data output by the collector through the application program, and meanwhile, related data can be input through the application program and output to the collector. The APP is set on the mobile terminal to realize the functions, and when the terminal is a non-mobile terminal, an application program is set. The terminal can also store related data so as to compare the stored data by a user, and can clearly know the change of the data, thereby improving pertinence.
It can be understood that by setting the application program on the terminal, the collector is more convenient and flexible to use, and the user can acquire the related health index data at any time and any place
Specifically, a storage device is further arranged on the main board 1 of the collector and used for storing related data, so that a user can conveniently take the related data in real time, and the health index change of the user can be judged through comparison of the previous data.
Example III
According to the collector, a balance weight is manufactured, and parts of the balance weight, which are the same as those of the collector, are not repeated. Specifically, the balance scale consists of an upper side plate 9 and a bottom plate 8, wherein a main board 1 is arranged on the bottom plate 8 for controlling each device and each module, and an MCU processor is arranged on the main board 1 for processing data; an input module is also arranged on the main board 1 and used for inputting the height, age, sex and other data of the user; at least three pressure sensors 2 are arranged at four corners of the bottom plate 8, the pressure sensors 2 are used for measuring pressure data, the pressure sensors 2 are connected with the main plate 1 through wires, collected data are transmitted to the main plate 1, and the collected data are processed through an MCU processor; the bottom plate 8 is also provided with a power supply module 4 for providing power for the balance; a display screen 5 is arranged on the bottom plate 8 or the upper side plate 9 and used for displaying data output by the main board 1; an electrode plate 3 is arranged on the balance weight upper side plate 9 and is used for measuring the electrical impedance data of a user; the balance scale also comprises a transmission module 6 for exchanging data with the terminal; the terminal is also written with a corresponding application program for exchanging data with the balance scale, and the application program also stores the balance scale output data; meanwhile, a storage device can be arranged on the main board 1 of the balance scale and used for storing data collected by the balance scale and output data, so that a user can conveniently acquire historical data in real time.
Specifically, a body balance index algorithm and a bioelectrical impedance algorithm are built in the balance main board 1, the collected pressure data are quantized through at least three pressure sensors 2 which are used for independently collecting weight information, the anti-falling risk level of a human body is calculated through the core algorithm, meanwhile, relevant information of human body impedance is collected, fat rate, bone mass, BMI, water fraction, muscle content, basic metabolism rate, visceral fat index and the like are calculated, a measurement result can be directly displayed through a display, and data among the transmission modules 6 can be transmitted to a terminal for display.
It can be understood that the body balance scale realizes the evaluation of the anti-falling risk of the human body through the realization method of collecting the gravity center by the pressure sensor and the algorithm for calculating the body balance index, and has simple structure and low cost.
Example IV
Referring to fig. 4, this embodiment discloses a human body balance evaluation method applicable to the above embodiments, and the MCU processor processes human body pressure data according to the following steps:
step S101, collecting pressure gravity center data of a to-be-detected body;
step S102, processing the pressure gravity center data by adopting a multi-scale entropy algorithm, and calculating the complexity of the pressure gravity center data;
step S103, determining a gravity center track of the pressure gravity center data, and calculating the area of a graph formed by the gravity center track to obtain the pressure gravity center track area;
step S104, the balance of the object to be measured is measured by the ratio of the track area to the complexity.
Specifically, in step S101, pressure center of gravity data of the subject is acquired. And in the preset time, the body to be detected is placed on the collector, the pressure gravity center data of the body to be detected is obtained in real time through the collector, and the data is stored for further analysis.
Specifically, in step S102, the pressure centroid data (Cop: center of pressure) is processed by a multi-scale entropy algorithm, and the complexity CI (complexity, area value under MSE curve) of the pressure centroid data is calculated. After the pressure barycenter data of the to-be-detected body is obtained, the obtained pressure barycenter data is processed by adopting a multi-scale entropy (MSE: multi-scale sample entropy) algorithm to obtain a Cop data set [ copx, copy ], the CI of the copx data and the CI of the copy data are calculated, the obtained copx and the CI of the copy are summed to obtain a sum SumCI of the CI of the copx data and the CI of the copy data, and the balance of the to-be-detected body is judged through the value of the SumCI.
Specifically, in step S103, the barycentric locus of the pressure barycentric data is determined, and the area of the pattern formed by the barycentric locus is calculated to obtain the pressure barycentric locus area. According to the obtained Cop data, calculating the coordinates of each point of the Cop data in a coordinate system, calculating extreme points of the Cop data in the coordinate system according to the coordinates of each point, sequentially ending all the obtained extreme points, wherein the extreme points are barycentric tracks of the Cop data, the graph formed by the barycentric tracks is an irregular polygon, the area of the polygon is calculated, the area of the polygon is the barycentric track area SumS of the Cop data, and the balance of the to-be-measured body can be judged according to the barycentric track area.
It should be understood that the sequence of step S102 and step S103 is only illustrative, and is not limited to a specific sequence, and step S102 and step S103 may be performed reversely, or may be performed simultaneously, that is, step S102 and step S103 are two steps in parallel.
Specifically, in step S104, the balance of the object to be measured is measured by the ratio of the track area to the complexity. Since the linear system and the nonlinear system have a plurality of defects, compared with the SumCI, the SumS/SumCI ratio is calculated, and the balance of the object to be detected is judged through the SumS/SumCI ratio.
It can be understood that the balance of the measured object is determined by the ratio of the track area sumS to the complexity sumCI, so that the defect of using sumS or sumCI independently can be overcome, the balance of the measured object is further improved to ensure the accuracy, and meanwhile, the defects of a linear system and a nonlinear system in judging the balance of the measured object are overcome.
In one possible implementation manner of the foregoing embodiment, reference is made to fig. 2 and fig. 3, which are respectively a graph of a first gravity center locus and a graph of a second gravity center locus of the human body balance evaluation method according to the embodiment of the present invention. When the area of the pressure gravity center track is calculated, according to the position of a graph formed by the pressure gravity center track in a coordinate system, determining extreme points of the graph, namely, determining the extreme points of the pressure gravity center track in the coordinate system, continuously rotating the graph in the coordinate system by a preset angle, determining the extreme points of the graph after each rotation, ending the rotation operation until the graph rotates 180 degrees, and connecting all the extreme points end to form the graph of the gravity center track in the coordinate system, wherein the graph is an irregular graph, and the area of the graph is SumS. Specifically, in fig. 2, first, the extreme points f and j on the x-axis of the graph in the coordinate system can be determined, f is the minimum value on the x-axis, j is the maximum value on the x-axis, and at the same time, the extreme points i and e on the y-axis can be determined, i is the maximum value e on the y-axis is the minimum value on the y-axis, and at the initial position of the graph, four extreme points i, j, e, f can be determined; in the process of rotating the secondary graph in a coordinate system, the rotation angle can be 3 degrees or 5 degrees, the graph is rotated along any point, the rotation angle is 5 degrees for example, the graph g is rotated once, the extreme points are confirmed once every time the graph g rotates, until the secondary graph is rotated by 180 degrees, all the extreme points in the rotation process are found out, specifically as shown in fig. 3, after the graph is rotated by 180 degrees, new extreme points h and d are obtained, and all the extreme points reaching the graph are determined completely, namely h, i, j, d, e and f. After the extreme points are confirmed, h, i, j, d, e and f are connected end to end in sequence to obtain a hexagon, and the line h-i-j-d-e-f-h is the area of the gravity center track, namely the area of the hexagon.
In another possible implementation manner based on the above embodiment, a graph of a third center trace of the human body balance evaluation method according to an embodiment of the present invention is shown in connection with fig. 4. Further, when calculating the area of the graph of the gravity center track, splitting the graph of the gravity center track into N-2 triangles, wherein the area of the pressure gravity center track is the sum of the areas of the N-2 triangles, N is the number of extreme points of the graph, and N is an integer greater than 2.
Specifically, after the hexagonal hijdef is obtained, it can be determined that the hexagonal hijdef is composed of six extreme points, and when the area of the hexagon is calculated, the hexagon is divided into (6-2) triangles, namely, 4 triangles, the areas of the 4 triangles are calculated respectively, and the areas of the 4 triangles are added to obtain the area of the hexagon, so that the area of the gravity center track can be obtained.
Specifically, the area of each triangle is calculated as follows:
T＝(a+b+c)/2
wherein a, b and c are three sides of a triangle, the vertex of the triangle is determined according to the extreme point of the gravity center track, T is half of the circumference of the triangle, and A is the area of the triangle. Namely, the area a of the triangle aef is:
wherein,half the perimeter of triangle hef, he, ef, fh are three sides of triangle hef, respectively. By the same method, the area of triangle hie, ije, jde is calculated and the areas of the four triangles are added to obtain the hexagonal area.
It can be understood that when the polygon is split into a plurality of triangles, one vertex of the polygon is taken as a center point and is respectively connected with other vertices to form a plurality of triangles, and as shown in fig. 4, the hexagon is split into 4 triangles by taking a point e as a center point.
In another possible implementation manner of the foregoing embodiment, after the rotation operation is finished, the deduplication operation is performed on all the extremum points, only one extremum point located at the same position in the graph is reserved, and the graph of the gravity center track is determined according to the extremum point after the deduplication operation.
Further, the coordinates of each point in the coordinate system of the graph of the barycentric locus are calculated as follows:
Xn＝X*cos(dwA)+Y*sin(dwA)
Yn＝Y*cos(dwA)+X*sin(dwA)
wherein dwA is the angle of rotation of the graph of the gravity center track in the coordinate system, which is a preset value, xn and Yn are new coordinates of the rotated point, and X, Y is the original coordinates of the point.
In another possible implementation manner of the foregoing embodiment, when determining the complexity CI of the Cop data, the Cop data is decomposed, after removing noise, other high-frequency components and part of low-frequency components in the Cop data, the pressure barycenter data is recombined, and the recombined pressure barycenter data is analyzed by using multi-scale entropy to obtain the total area value of the sample entropy under each scale, which is used as the complexity CI of the Cop data.
Specifically, in a preset time, collecting a data set of barycentric coordinate numbers of n groups of pressure barycentric data, and calculating a barycentric coordinate data set [ copx, copy ] of the pressure barycentric data through a barycentric formula, wherein the barycentric formula is as follows:
M*cop x ＝s 1 *x 1 +s 2 *x 2 +.....+s n *x n
M*cop y ＝s 1 *y 1 +s 2 *y 2 +.....+s n *y n
wherein cop x For the collection of the x-axis direction of the pressure gravity center data, cop y The set of the y-axis directions of the pressure gravity center data, sn is the nth group of data sets, xn is the x-axis coordinates of the nth group of data sets, and yn is the y-axis coordinates of the nth group of data sets.
Specifically, when decomposing the pressure center of gravity data, an empirical mode decomposition method (EMD: empirical mode decomposition) is used to decompose the pressure center of gravity data. Specifically, the signal is decomposed according to the time scale of the data sequence itself, a new set of data sequences is generated, and the new set of data sequences is set as eigenmode functions (IMF, intrinsic mode function), each eigenmode function contains local features of the original pressure barycenter data on a certain scale, and the eigenmode functions should meet the following conditions: in the whole pressure gravity center data sequence, the difference between the number of zero crossing points and the number of extreme points is not more than 1; at any time in the preset time range, the average value of the upper envelope line and the lower envelope line formed by the extreme points approaches zero.
Further, the specific process of Cop data processing is as follows:
(1) Determining all local maximum value points and all local minimum value points of the data sequence xt;
(2) Connecting all local maximum points by cubic spline interpolation to form an upper envelope curve, and obtaining a lower envelope curve by the same method;
(3) Calculating the average value of the upper envelope curve and the lower envelope curve to obtain an average envelope curve m1, wherein the difference value between the xt and m1 is the first division h1:
xt-m1＝h1
(4) If h1 satisfies both conditions of the IMF component, h11 is the first eigenmode function of xt; if h1 does not meet the IMF component condition, taking h1 as the original data, repeating the steps 1-3 to obtain a new difference h11 as follows:
h1-m11＝h11
(5) If h11 still does not meet the condition, steps 1-3 are repeated k times until h11 meets the condition:
h1(k-1)-m1k＝h1k
thus, the first IMF component is obtained by decomposition from the original signal, denoted c1=h1k, and the difference signal r1 is obtained by separating c1 from the original signal, i.e.:
xt-c1＝r1
(5) Repeating r1 as new original data for 1-4 to obtain result
r1-c2＝r2…r(n-1)-cn＝rn
When any one of the following conditions is satisfied, the original signal screening is finished:
(1) The component cn or the residual rn is less than a predetermined value of the substantial result;
(2) rn becomes a monotonic function and no eigenmode function can be resolved anymore.
Specifically, the pressure gravity center data after the eigenmode function recombination is calculated by using multi-scale entropy, the area value under the multi-scale entropy curve is the complexity CI after the pressure gravity center data recombination, and the complexity CI after the recombination is calculated according to the following formula:
wherein CI is the complexity after recombination, MSEN is the pressure gravity center data after the n group of recombination, and h is the difference value between the data sequence and the average envelope curve average value of the multi-scale entropy curve. After calculating the complexity CI, synthesizing the complexity CI corresponding to the copx and the copy to obtain the synthesized SumCI, and comparing the obtained Sums with the SumCI, and judging the balance performance of the human body or other bodies to be detected through the ratio of Sums/SumCI.
It can be understood that the balance of the human body or the measured object is determined by the ratio of the track area to the complexity, and the balance is calculated according to the information contained in the gravity center change of the human body, so that the method overcomes the defects of a linear system algorithm and a nonlinear system algorithm and can accurately evaluate the balance of the human body.
In summary, the method for evaluating the balance of a human body described in the above embodiments may be applied to the embodiments of the above devices, so that the above devices may perform evaluation of the balance performance of the human body and determination of the anti-falling level of the human body. It can be understood by those skilled in the art that the method can be implanted on the main board of the collector or balance, or the method can be programmed and implanted in the collector or balance processor to calculate the balance performance data of the human body, and the method can also be written into the terminal application program to evaluate the balance performance of the human body by the method built in the terminal.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (13)
1. A body balance data collector, comprising:
the main board is arranged on the bottom board of the balance;
the pressure sensor is arranged on the bottom plate and connected with the main board, and is used for outputting human pressure data to the main board;
the electrode plate is arranged on the upper side plate of the balance and connected with the main board, and is used for outputting human body electrical impedance data to the main board;
the main board is used for receiving the human body pressure data and outputting human body anti-falling grade data, and the main board is used for receiving the human body electrical impedance data and outputting human body related index data; the main board comprises an MCU processor for processing the input human body pressure data and human body electrical impedance data;
the MCU processor processes the human pressure data:
collecting pressure gravity center data of a body to be detected;
processing the pressure gravity center data by adopting a multi-scale entropy algorithm to obtain an area value under a multi-scale entropy curve, wherein the area value is used as the complexity of the pressure gravity center data and used for measuring the balance of the body to be measured, after the pressure gravity center data of the body to be measured are obtained, the obtained pressure gravity center data are processed by adopting the multi-scale entropy algorithm to obtain a Cop data set [ copx, copy ], the CI of the copx data and the CI of the copy data are calculated, the obtained copx and the CI of the copy are summed to obtain the sum SumCI of the CI of the copx data and the CI of the copy data, and the balance of the body to be measured is judged by the value of SumCI;
determining a gravity center track of the pressure gravity center data, calculating the area of a graph formed by the gravity center track to obtain a pressure gravity center track area, measuring the balance of the body to be measured, calculating the coordinates of each point of the Cop data in a coordinate system according to the obtained Cop data, calculating extreme points of the Cop data in the coordinate system according to the coordinates of each point, sequentially ending all the obtained extreme points, wherein the extreme points are the gravity center track of the Cop data, the graph formed by the gravity center track is an irregular polygon, calculating the area of the polygon, namely the gravity center track area SumS of the Cop data, and judging the balance of the body to be measured according to the gravity center track area;
and measuring the balance of the to-be-measured body through the ratio of the track area to the complexity.
2. The body balance data collector of claim 1 wherein, when calculating the pressure centroid trace area, determining the extreme points of the graph according to the position of the graph in a coordinate system, continuously rotating the graph in the coordinate system by a preset angle, determining the extreme points of the graph after each rotation until the graph rotates 180 degrees, ending the rotation operation, and connecting all the extreme points end to form the graph of the centroid trace.
3. The body balance data collector of claim 2 wherein the pattern of centroid trajectories is split into N-2 triangles and the pressure centroid trajectory area is the sum of the areas of N-2 triangles, where N is the number of extremum points of the pattern and N is an integer greater than 2.
4. The body balance data collector of claim 3 wherein after said rotating operation is completed, performing a deduplication operation on all of said extremal points, only one extremal point located at the same position in said graph is retained, and determining said graph of the centroid trace based on the extremal points after the deduplication operation.
5. The body balance data collector of claim 4 wherein, when determining the complexity, decomposing the pressure centroid data, removing noise, other high frequency components and part of low frequency components from the pressure centroid data, recombining the pressure centroid data, and analyzing the recombined pressure centroid data with multi-scale entropy to obtain an overall area value of sample entropy at each scale as the complexity.
6. The body balance data collector of claim 1, wherein the main board further comprises an input module for inputting the age, height, sex of the human body.
7. The body balance data collector of any of claims 1-6, further comprising a display screen disposed on the upper side panel and coupled to the main board for displaying output data of the main board.
8. The body balance data collector of claim 7 wherein at least four of said pressure sensors are disposed at respective ones of said four corners of said base plate.
9. The body balance data collector of claim 8 wherein the electrode pads are ITO conductive glass.
10. The body balance data collector of claim 9 wherein the ITO conductive glass is disposed on the upper side plate surface.
11. The body balance data harvester of claim 10 wherein the display screen displays the output data through the ITO conductive glass.
12. The body balance data collector of claim 1, wherein the balance further comprises a power module disposed on the base plate and connected to the motherboard for providing power to the motherboard.
13. The body balance data collector of claim 12 wherein the power module is an alkaline battery, a storage battery or a battery.
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| CN111358469B (en) * | 2020-04-15 | 2024-01-02 | 青岛一小步科技有限公司 | Plantar pressure detection device, foot health detection device and foot health detection method |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1985155A (en) * | 2004-07-03 | 2007-06-20 | 伍兹堡尤利乌斯－马克西米利安斯大学 | Force evaluating device and force evaluating method for determining balance characteristics |
| WO2009093632A1 (en) * | 2008-01-23 | 2009-07-30 | Panasonic Electric Works Co., Ltd. | Device for evaluating balance of center of gravity |
| TW201125554A (en) * | 2010-01-20 | 2011-08-01 | Univ Yuan Ze | Falling risk estimation and promoting balance stable system and method thereof |
| TW201125536A (en) * | 2010-01-20 | 2011-08-01 | Univ Yuan Ze | Human body balanced signal measuring system and the analyzing method thereof |
| CN203074698U (en) * | 2013-01-07 | 2013-07-24 | 于化云 | Bluetooth fat scale |
| 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 |
| CN105147284A (en) * | 2015-05-19 | 2015-12-16 | 南京大学 | Improved human body balance function detection method and training system |
| CN105326508A (en) * | 2014-08-15 | 2016-02-17 | 北京鑫东华腾体育器械有限公司 | Human body static balance testing method and instrument |
| JP2016209546A (en) * | 2015-04-28 | 2016-12-15 | 住友理工株式会社 | Balance ability measuring apparatus |
| CN106491088A (en) * | 2016-11-01 | 2017-03-15 | 吉林大学 | A kind of balanced ability of human body appraisal procedure based on smart mobile phone |
| CN107397552A (en) * | 2016-05-20 | 2017-11-28 | 武汉软工硕成技术有限公司 | The human body weight and balance measurement apparatus and its measuring method of facing moving terminal application |
| CN107464241A (en) * | 2017-08-16 | 2017-12-12 | 深圳市新元素医疗技术开发有限公司 | A kind of analysis method of plantar pressure |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2004014230A1 (en) * | 2002-08-09 | 2004-02-19 | Matsushita Electric Industrial Co., Ltd. | Balance state analysis device |
| US20110251520A1 (en) * | 2010-04-08 | 2011-10-13 | Yuan Ze University | Fall-risk Evaluation and Balance Stability Enhancement System and method |
-
2017
- 2017-12-29 CN CN201711479073.3A patent/CN107967931B/en active Active
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1985155A (en) * | 2004-07-03 | 2007-06-20 | 伍兹堡尤利乌斯－马克西米利安斯大学 | Force evaluating device and force evaluating method for determining balance characteristics |
| WO2009093632A1 (en) * | 2008-01-23 | 2009-07-30 | Panasonic Electric Works Co., Ltd. | Device for evaluating balance of center of gravity |
| CN102088902A (en) * | 2008-01-23 | 2011-06-08 | 松下电工株式会社 | Device for evaluating balance of center of gravity |
| TW201125554A (en) * | 2010-01-20 | 2011-08-01 | Univ Yuan Ze | Falling risk estimation and promoting balance stable system and method thereof |
| TW201125536A (en) * | 2010-01-20 | 2011-08-01 | Univ Yuan Ze | Human body balanced signal measuring system and the analyzing method thereof |
| CN203074698U (en) * | 2013-01-07 | 2013-07-24 | 于化云 | Bluetooth fat scale |
| 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 |
| CN105326508A (en) * | 2014-08-15 | 2016-02-17 | 北京鑫东华腾体育器械有限公司 | Human body static balance testing method and instrument |
| JP2016209546A (en) * | 2015-04-28 | 2016-12-15 | 住友理工株式会社 | Balance ability measuring apparatus |
| CN105147284A (en) * | 2015-05-19 | 2015-12-16 | 南京大学 | Improved human body balance function detection method and training system |
| CN107397552A (en) * | 2016-05-20 | 2017-11-28 | 武汉软工硕成技术有限公司 | The human body weight and balance measurement apparatus and its measuring method of facing moving terminal application |
| CN106491088A (en) * | 2016-11-01 | 2017-03-15 | 吉林大学 | A kind of balanced ability of human body appraisal procedure based on smart mobile phone |
| CN107464241A (en) * | 2017-08-16 | 2017-12-12 | 深圳市新元素医疗技术开发有限公司 | A kind of analysis method of plantar pressure |
Non-Patent Citations (4)
| Title |
|---|
| Measuring Center of Pressure Signals to Quantify Human Balance Using Multivariate Multiscale Entropy by Designing a Force Platform;Cheng-Wei Huang等;《Sensors》;第13卷(第8期);10151-10166 * |
| Possibility of Using Entrop Method to Evaluate the Distracting Effect of Mobile Phones on Pedestrians;Nurul Retno Nurwulan等;《Entropy》;第18卷(第11期);1-15 * |
| 人体站立平衡系统建模与平衡能力评价方法研究;刘琨;《中国博士学位论文全文数据库 医药卫生科技辑》;第2017年卷(第1期);E059-16 * |
| 基于视觉和本体感觉阻断的人体静态平衡能力的评估研究;章琴;《中国优秀硕士学位论文全文数据库 医药卫生科技辑》;第2017年卷(第4期);E060-148 * |
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