CN112294294A - Synchronous acquisition system for human body athletic performance evaluation data - Google Patents
Synchronous acquisition system for human body athletic performance evaluation data Download PDFInfo
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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
- A61B5/112—Gait analysis
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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
- A61B5/1036—Measuring load distribution, e.g. podologic studies
- A61B5/1038—Measuring plantar pressure during gait
Abstract
The invention discloses a synchronous acquisition system for human motion performance evaluation data, which at least comprises sensor nodes, a sink node and a computer client, wherein the sink node is in wireless communication with the sensor nodes through a ZigBee wireless sensor network, the computer client is in communication with the sink node, the sensor nodes comprise a plurality of plantar pressure sensor nodes, a plurality of epidermal myoelectricity sensor nodes and a plurality of gait detection sensor nodes, each plantar pressure sensor node comprises a plantar pressure sensor made of flexible piezoresistive material, each epidermal myoelectricity sensor node comprises an epidermal myoelectricity sensor, each gait detection sensor node comprises an MPU6050 six-axis sensor, and the sink node comprises a ZigBee coordinator and an Internet interface module and/or a USB serial port conversion module which are connected with the ZigBee coordinator. The invention can meet the clinical requirements on synchronous inspection of plantar pressure, epidermal myoelectricity and movement gait and automatic report generation.
Description
Technical Field
The invention relates to the technical field of human motion performance evaluation data acquisition, in particular to a human motion performance evaluation data synchronous acquisition system based on a ZigBee wireless sensor network.
Background
The existing plantar pressure detection system adopts an advanced low-hysteresis pressure sensor technology, is based on a biomechanics theory, acquires foot stress characteristic data of a person in motion through a high-density and high-frequency pressure distribution acquisition panel, and is a precise instrument with high price; and the system is not a wearable device and is inconvenient to use.
The existing gait analysis technology is to snap the human movement by adopting a three-dimensional movement capturing system, transmit the human movement information to a computer and convert the human movement information into computer readable information, and perform three-dimensional human gait analysis by converting the human movement into the movement of a model human on the computer. However, the three-dimensional motion capture system in the prior art has low capturing accuracy, so that certain errors are caused to gait analysis. In addition, the existing three-dimensional motion capture system needs to be deployed in a specially designed motion capture room, which is very costly.
Further, the prior art fails to simultaneously assess plantar pressure, surface myoelectricity and gait analysis.
Disclosure of Invention
In view of this, an embodiment of the present invention provides a wearable synchronous human motion performance evaluation data acquisition system with low cost, which can implement synchronous performance of multiple examinations of plantar pressure, epidermal myoelectricity and gait analysis, and improve the efficiency of clinical examinations.
In view of the above, an aspect of the embodiments of the present invention provides a synchronous acquisition system for human body athletic performance assessment data, which at least comprises a sensor node, a sink node in wireless communication with the sensor node through a ZigBee wireless sensor network, and a computer client in communication with the sink node,
the sensor nodes comprise a plurality of plantar pressure sensor nodes, a plurality of epidermal myoelectricity sensor nodes and a plurality of gait detection sensor nodes, each plantar pressure sensor node comprises a plantar pressure sensor made of flexible piezoresistive material, each epidermal myoelectricity sensor node comprises an epidermal myoelectricity sensor, each gait detection sensor node comprises an MPU6050 six-axis sensor,
the sink node comprises a ZigBee coordinator and an Internet interface module and/or a USB-to-serial port module which are connected with the ZigBee coordinator.
In some embodiments, the plantar pressure sensor is used for collecting electric signals reflecting plantar pressure distribution, the epidermal myoelectricity sensor is used for collecting one-dimensional time series electric signals of bioelectricity changes of a neuromuscular system when muscles of a specific part of a human body are activated from the surface of the muscles through the surface electrode, and the MPU6050 six-axis sensor is used for collecting human body movement gait data.
In some embodiments, each plantar pressure sensor node further comprises a first a/D converter, a first single chip microcomputer and a first ZigBee module, and the plantar pressure sensor, the first a/D converter, the first single chip microcomputer and the first ZigBee module are connected in sequence;
each epidermal electromyography sensor node further comprises a second A/D converter, a second single chip microcomputer and a second ZigBee module, and the epidermal electromyography sensor, the second A/D converter, the second single chip microcomputer and the second ZigBee module are sequentially connected;
each gait detection sensor node also comprises a third A/D converter, a third single chip microcomputer and a third ZigBee module, and the MPU6050 six-axis sensor, the third A/D converter, the third single chip microcomputer and the third ZigBee module are connected in sequence.
In some embodiments, the ZigBee coordinator includes a fourth ZigBee module and a fourth single chip microcomputer connected to each other.
In some embodiments, the sensor node and the sink node are powered by an external power source.
In some embodiments, the synchronous acquisition system for human body athletic performance evaluation data further comprises a management node connected to the sink node, and the management node is used for managing and configuring the state of the ZigBee wireless sensor network.
In some embodiments, the flexible piezoresistive material of each plantar pressure sensor is divided into a plurality of regions, a predetermined number of electrodes are disposed around each region, and two adjacent cyclic excitation electrodes and two adjacent measurement electrodes are contained in the electrodes of each region.
In some embodiments, the flexible piezoresistive material is in the shape of an insole.
In some embodiments, the computer client comprises a multi-source signal data presentation and analysis system, the multi-source signal data presentation and analysis system consisting of a service processing layer, a business logic layer, and an interface presentation layer,
the service processing layer comprises a data stream processing module, a parameter configuration module, an algorithm engine module and a communication protocol module,
the business logic layer comprises a patient information management module, an equipment management module, an electromyographic data processing module, a plantar pressure data processing module, a gait data processing module, an automatic report generation module and an information retrieval module,
the interface presentation layer comprises a GUI human-computer interaction module.
In some embodiments, the first, second, third, and fourth singlechips are ATmega16L-8PI singlechips.
The invention has the following beneficial technical effects: the synchronous acquisition system for the human body athletic performance evaluation data provided by the embodiment of the invention adopts the plantar pressure field image reconstruction based on the Electrical Impedance Tomography (EIT) algorithm and is matched with the image processing related algorithm to realize the measurement of each index of clinical diagnosis. The sensor based on the algorithm has the characteristics of high speed, high sensitivity and low power consumption, and has the characteristics of simple manufacturing process, low price, wearing comfort and the like compared with the traditional sole baroreceptor measuring instrument. Gait analysis is carried out by using inertial navigation equipment, a traditional camera capture system is abandoned, and a human body is liberated from a high-investment motion capture room, so that the human body motion performance evaluation is in clinical work. Meanwhile, the evaluation of plantar pressure, surface myoelectricity and gait analysis is carried out, the actual motion condition of the human body can be restored to the maximum extent, and the guiding significance is provided for clinical rehabilitation work. The adopted MPU6050 six-axis sensor has the advantages of small volume, low cost and the like. Therefore, in the aspect of clinical requirements of measuring joint angles and arm swing angles in human gait analysis and the like, accurate measurement of the angles is realized by combining an optimized data processing algorithm. The synchronous acquisition system for the human motion performance evaluation data can also realize the intelligent analysis and report printing of plantar pressure, surface myoelectricity and gait data, and improve the inspection precision and the working efficiency of doctors.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other embodiments can be obtained by using the drawings without creative efforts.
FIG. 1 is a schematic block diagram of a system for synchronously acquiring human athletic performance assessment data according to one embodiment of the present invention;
FIG. 2 is a schematic block diagram of a multi-source signal data presentation and analysis system of a computer client; and
FIG. 3 is a hardware architecture diagram of one embodiment of a computing device running a multi-source signal data presentation and analysis system.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the following embodiments of the present invention are described in further detail with reference to the accompanying drawings.
It should be noted that all expressions of "first", "second", "third", "fourth", and the like in the embodiments of the present invention are used for distinguishing a plurality of entities with the same name but different names or different parameters, and it should be understood that "first", "second", "third", "fourth", and the like are only for convenience of description and should not be construed as limitations to the embodiments of the present invention, and the descriptions of the following embodiments are omitted.
Based on the above purpose, the embodiment of the invention provides an embodiment of a synchronous acquisition system for human body athletic performance evaluation data. Fig. 1 shows a schematic block diagram of the system. As shown in figure 1, the human body athletic performance evaluation data synchronous acquisition system at least comprises sensor nodes 101-103, a sink node 200 which is in wireless communication with the sensor nodes 101-103 through a ZigBee wireless sensor network, and a computer client 300 which is in communication with the sink node 200. The ZigBee technology has the advantages of low power consumption, interference resistance, high capacity, high safety and the like, so that the synchronous transmission of multipoint data is realized by adopting the ZigBee technology to carry out network networking. Each sensor node is a wearable device, and when the sensor node device is used, each sensor node device is fixed at each part to be measured of a patient body, so that plantar pressure, epidermal myoelectricity and gait data of the patient are synchronously acquired, the acquired data are synchronously transmitted to the sink node 200 through the ZigBee wireless sensor network to be integrated, and then the sink node 200 sends the data to the computer client 300 for subsequent processing and analysis.
The sensor nodes comprise a plurality of plantar pressure sensor nodes 101, a plurality of epidermal myoelectricity sensor nodes 102 and a plurality of gait detection sensor nodes 103, each plantar pressure sensor node 101 comprises a plantar pressure sensor made of flexible piezoresistive material, each epidermal myoelectricity sensor node 102 comprises an epidermal myoelectricity sensor, and each gait detection sensor node 103 comprises an MPU6050 six-axis sensor. The sink node 200 comprises a ZigBee coordinator and an Internet interface module and/or a USB-to-serial port module connected with the ZigBee coordinator. The sole pressure sensor is used for collecting electric signals reflecting the sole pressure distribution condition. The epidermal electromyography sensor is used for acquiring a one-dimensional time sequence electric signal of bioelectricity change of a neuromuscular system when muscle of a specific part of a human body moves from the surface of the muscle through the surface electrode. The MPU6050 six-axis sensor is used for collecting human body movement gait data.
In a preferred embodiment, the plantar pressure sensor of the present invention is a shoe-pad-like sensor based on Electrical Impedance Tomography (EIT) principle and made of flexible piezoresistive material, which can be worn on the sole of a foot of a patient, and when a certain pressure is applied to the material by the foot, the electrical impedance of the corresponding part of the material is changed, so that the sensor converts the pressure signal into an electrical signal. The flexible piezoresistive material of each plantar pressure sensor is divided into a plurality of areas, and a preset number of electrodes are arranged around each area, so that the purpose of improving the local imaging quality is achieved. For example, with the four-terminal measurement method, in an annular region surrounded by electrodes, two adjacent electrodes are sequentially selected to be circularly excited electrodes, i.e., current is injected into the region through the electrode pair. And selecting two adjacent electrodes as measuring electrodes from the rest electrodes in sequence. From the measured voltage values, the potential distribution of the contact area can be inverted. A person's feet will cause deformation of the flexible material when standing on the sensor. Generally, depending on the nature of the piezoresistive material, the greater the applied pressure, the greater the amount of resistance change of that portion of material. Thus, a mapping relationship between the pressure field and the electric potential can be established. In addition, in order to determine the relationship between the number of electrodes and the imaging quality and the imaging speed, a sensor compression model can be established by utilizing CommolMultiphysics finite element simulation software, and the relationship between the imaging quality and the imaging speed under the conditions of different electrode numbers, excitation signals and region division sizes is researched to determine an optimized sensor design scheme.
In a preferred embodiment, the epidermal electromyography sensor guides and records one-dimensional time-series electrical signals of bioelectrical changes of the neuromuscular system as the muscle is activated from the surface of the muscle via surface electrodes. In order to detect myoelectric signals with clinical value without distortion, the epidermal myoelectric sensor adopts a surface myoelectric signal acquisition and conditioning circuit with higher common-mode rejection ratio and strong anti-interference capability, and comprises a surface electrode, a differential amplifier, a high-pass amplifier, a main amplifier, an isolation amplifier, a low-pass filter, a level raising circuit, a power frequency wave trap and a main controller which are sequentially connected.
The MPU6050 six-axis sensor can realize the collection of the motion trail and the gait data of the patient and the spatial position information of parts such as ankle joints, knee joints, hip joints and the like. The tester can wear an MPU6050 in the middle of the front of the waist, and this MPU6050 serves as a test reference. MPUs 6050 can be respectively worn on corresponding positions of thighs, shanks, upper arms and lower arms when the motion abilities of the hip joint and the knee joint and the motion abilities of the shoulder joint and the elbow joint are tested.
In a preferred embodiment, each plantar pressure sensor node further comprises a first a/D converter, a first single chip microcomputer and a first ZigBee module, and the plantar pressure sensor, the first a/D converter, the first single chip microcomputer and the first ZigBee module are connected in sequence. Each epidermal electromyography sensor node further comprises a second A/D converter, a second single chip microcomputer and a second ZigBee module, and the epidermal electromyography sensor, the second A/D converter, the second single chip microcomputer and the second ZigBee module are connected in sequence. Each gait detection sensor node also comprises a third A/D converter, a third single chip microcomputer and a third ZigBee module, and the MPU6050 six-axis sensor, the third A/D converter, the third single chip microcomputer and the third ZigBee module are connected in sequence. The ZigBee coordinator comprises a fourth ZigBee module and a fourth single chip microcomputer which are connected with each other. The first single chip microcomputer, the second single chip microcomputer, the third single chip microcomputer and the fourth single chip microcomputer can be ATmega16L-8PI single chip microcomputers. The first ZigBee module, the second ZigBee module, the third ZigBee module and the fourth ZigBee module are in wireless connection.
In a preferred embodiment, the sensor nodes and the sink node are uniformly powered by an external power supply.
In a preferred embodiment, the system for synchronously acquiring the human body athletic performance evaluation data further comprises a management node (not shown) connected to the sink node 200, wherein the management node is used for managing and configuring the state of the ZigBee wireless sensor network.
FIG. 2 is a schematic block diagram of a multi-source signal data presentation and analysis system of a computer client. The multi-source signal data display and analysis system is mainly used for managing information of a patient to be examined, displaying and analyzing data collected from the patient, automatically generating a report according to an analysis result, and simultaneously performing operations such as parameter configuration on a data collection device. The multi-source signal data display and analysis system software can be realized by adopting C + + language programming. As shown in fig. 2, the multi-source signal data display and analysis system framework of the computer client is composed of a service processing layer, a business logic layer and an interface presentation layer. The service processing layer comprises a data stream processing module, a parameter configuration module, an algorithm engine module and a communication protocol module. The business logic layer comprises a patient information management module, an equipment management module, a myoelectric data processing module, a plantar pressure data processing module, a gait data processing module, an automatic report generation module and an information retrieval module. The interface presentation layer comprises a GUI human-computer interaction module. The data stream processing module is used for decoding and unpacking the received data packet to obtain myoelectricity, posture, pressure and other data which meet the software design requirements, so that an effective data source is provided for modules for data analysis, display and the like; the parameter configuration module is used for configuring each parameter of the system; the algorithm engine module is used for further processing the data, for example, obtaining electromyogram data after performing algorithm processing on the original data; the communication protocol module is used for establishing communication between the system software and the data receiving device, the invention can adopt a network communication mode, and the data transmission between the client and the data receiving device follows a TCP/IP protocol; the patient information management module is used for managing basic information of the patient and motion data related to the basic information; the device management module is used for managing the device running states of the sensor nodes and the sink nodes; the myoelectricity data processing module, the plantar pressure data processing module and the gait data processing module are used for processing the collected myoelectricity data, plantar pressure data and gait data; the report automatic generation module is used for calculating various indexes according to the acquired data and automatically generating a clinical report; the information retrieval module is used for inquiring and retrieving all patient data in the system; and the GUI man-machine interaction module realizes information interaction between a person and system software.
As shown in FIG. 3, a schematic diagram of a hardware configuration of one embodiment of a computing device running the above-described multi-source signal data presentation and analysis system is shown. Taking the computing device shown in fig. 3 as an example, the computing device includes a memory 302, at least one processor 301, and a computer program stored on the memory 302 and executable on the processor 301, wherein the processor 301 implements the functions of the above-mentioned system modules when executing the program. The computing device may further include: an input device 303 and an output device 304. The processor 301, the memory 302, the input device 303 and the output device 304 may be connected by a bus or other means, and fig. 3 illustrates the connection by a bus as an example.
The memory 302 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the above-described system, and the like. Further, the memory 302 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, memory 302 optionally includes memory located remotely from processor 301, which may be connected to a local module via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 303 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the system. The output means 304 may comprise a display device such as a display screen.
Any of the embodiments of the computing device may achieve the same or similar effects as any of the previous system embodiments corresponding thereto.
Finally, it should be noted that, as will be understood by those skilled in the art, the implementation of the system functions of the foregoing embodiments can be accomplished by instructing relevant hardware through a computer program, which can be stored in a computer-readable storage medium, and when the program is executed, the system functions of the foregoing embodiments can be accomplished. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like. Embodiments of the computer program may achieve the same or similar effects as any of the above-described system embodiments corresponding thereto.
In addition, the systems, devices and the like disclosed in the embodiments of the present invention may be various electronic terminal devices, such as a mobile phone, a Personal Digital Assistant (PDA), a tablet computer (PAD), a smart television and the like, or may be large terminal devices, such as a server and the like, and therefore the scope of protection disclosed in the embodiments of the present invention should not be limited to a specific type of system, device.
Further, it should be appreciated that the computer-readable storage media (e.g., memory) described herein can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory. By way of example, and not limitation, nonvolatile memory can include Read Only Memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM), which can act as external cache memory. By way of example and not limitation, RAM is available in a variety of forms such as synchronous RAM (DRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), and Direct Rambus RAM (DRRAM). The storage devices of the disclosed aspects are intended to comprise, without being limited to, these and other suitable types of memory.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the disclosure herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as software or hardware depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the disclosed embodiments of the present invention.
The various illustrative logical blocks, modules, and circuits described in connection with the disclosure herein may be implemented or performed with the following components designed to perform the functions described herein: a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination of these components. A general purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP, and/or any other such configuration.
The functional blocks described in connection with the disclosure herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. In the alternative, the processor and the storage medium may reside as discrete components in a user terminal.
In one or more exemplary designs, the functions may be implemented in hardware, software, firmware, or any combination thereof. If implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer. By way of example, and not limitation, such computer-readable media can comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a general-purpose or special-purpose computer, or a general-purpose or special-purpose processor. Also, any connection is properly termed a computer-readable medium. For example, if the software is transmitted from a website, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of medium. Disk and disc, as used herein, includes Compact Disc (CD), laser disc, optical disc, Digital Versatile Disc (DVD), floppy disk, blu-ray disc where disks usually reproduce data magnetically, while discs reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.
The above is an exemplary embodiment of the present disclosure, and the order of disclosure of the above embodiment of the present disclosure is only for description and does not represent the merits of the embodiment. It should be noted that the discussion of any embodiment above is exemplary only, and is not intended to intimate that the scope of the disclosure, including the claims, of embodiments of the invention is limited to those examples, and that various changes and modifications may be made without departing from the scope, as defined in the claims. Furthermore, although elements of the disclosed embodiments of the invention may be described or claimed in the singular, the plural is contemplated unless limitation to the singular is explicitly stated.
Claims (10)
1. A synchronous acquisition system for human body athletic performance evaluation data is characterized by at least comprising sensor nodes, a sink node which is in wireless communication with the sensor nodes through a ZigBee wireless sensor network and a computer client which is in communication with the sink node,
the sensor nodes comprise a plurality of plantar pressure sensor nodes, a plurality of epidermal myoelectricity sensor nodes and a plurality of gait detection sensor nodes, each plantar pressure sensor node comprises a plantar pressure sensor made of flexible piezoresistive material, each epidermal myoelectricity sensor node comprises an epidermal myoelectricity sensor, each gait detection sensor node comprises an MPU6050 six-axis sensor,
the sink node comprises a ZigBee coordinator and an Internet interface module and/or a USB-to-serial port module which are connected with the ZigBee coordinator.
2. The system for synchronously collecting human body athletic performance assessment data according to claim 1, wherein said plantar pressure sensors are used for collecting electric signals reflecting plantar pressure distribution, said epidermal myoelectric sensors are used for collecting one-dimensional time series electric signals of bioelectricity changes of a neuromuscular system when muscles of specific parts of a human body move from the surface of muscles through surface electrodes, and said MPU6050 six-axis sensors are used for collecting human body athletic gait data.
3. The system for synchronously collecting human body athletic performance evaluation data according to claim 1,
each plantar pressure sensor node further comprises a first A/D converter, a first single chip microcomputer and a first ZigBee module, and the plantar pressure sensors, the first A/D converters, the first single chip microcomputers and the first ZigBee modules are connected in sequence;
each epidermal electromyography sensor node further comprises a second A/D converter, a second single chip microcomputer and a second ZigBee module, and the epidermal electromyography sensor, the second A/D converter, the second single chip microcomputer and the second ZigBee module are sequentially connected;
each gait detection sensor node also comprises a third A/D converter, a third single chip microcomputer and a third ZigBee module, and the MPU6050 six-axis sensor, the third A/D converter, the third single chip microcomputer and the third ZigBee module are connected in sequence.
4. The human athletic performance evaluation data synchronous acquisition system of claim 3, wherein the ZigBee coordinator comprises a fourth ZigBee module and a fourth single chip microcomputer which are connected with each other.
5. The system of claim 1, wherein the sensor nodes and the sink nodes are powered by an external power source.
6. The system for synchronously acquiring the human athletic performance evaluation data of claim 1, further comprising a management node connected with the sink node, wherein the management node is used for managing and configuring the state of the ZigBee wireless sensor network.
7. The system of claim 1, wherein the flexible piezoresistive material of each plantar pressure sensor is divided into a plurality of regions, a predetermined number of electrodes are arranged around each region, and two adjacent cyclic excitation electrodes and two adjacent measurement electrodes are included in the electrodes of each region.
8. The system for synchronously acquiring human athletic performance assessment data according to claim 7, wherein said flexible piezoresistive material is in the shape of an insole.
9. The system of claim 1, wherein the computer client comprises a multi-source signal data presentation and analysis system, the multi-source signal data presentation and analysis system comprises a service processing layer, a business logic layer, and an interface presentation layer,
the service processing layer comprises a data stream processing module, a parameter configuration module, an algorithm engine module and a communication protocol module,
the business logic layer comprises a patient information management module, an equipment management module, an electromyographic data processing module, a plantar pressure data processing module, a gait data processing module, an automatic report generation module and an information retrieval module,
the interface presentation layer comprises a GUI human-computer interaction module.
10. The system for synchronously collecting human body athletic performance evaluation data of claim 4, wherein the first single chip microcomputer, the second single chip microcomputer, the third single chip microcomputer and the fourth single chip microcomputer are ATmega16L-8PI single chip microcomputers.
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| CN115844325A (en) * | 2022-11-17 | 2023-03-28 | 天津大学 | Distributed fNIRS brain function imaging system for super-scanning application |
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| CN203898286U (en) * | 2014-05-19 | 2014-10-29 | 武汉理工大学 | Human movement signal wireless acquisition and real-time analysis system |
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| US20200008745A1 (en) * | 2018-07-09 | 2020-01-09 | V Reuben F. Burch | Wearable Flexible Sensor Motion Capture System |
| CN108992778A (en) * | 2018-08-01 | 2018-12-14 | 龚映清 | A kind of functional muscle electric stimulation system and method based on sensor intelligent insole |
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