Multi-channel surface electromyography signal collection system based on wireless fidelity (Wi-Fi) and processing method thereof
An electromyographic signal acquisition, electromyographic signal technology, applied in medical science, sensors, diagnostic recording/measurement, etc., can solve problems such as versatility limitation, low latency, poor portability, etc., to overcome low recognition accuracy and real-time performance. Good and accurate effect
Active Publication Date: 2014-12-03
WUHAN UNIV OF TECH
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Problems solved by technology
The traditional wired EMG signal acquisition card has the advantages of high precision and low delay, but it also has the disadvantages of serious power frequency interference and poor portability; although the low-speed wireless acquisition card can overcome many shortcomings of wired EMG signal acquisition and enhance the acquisition The portability, ease of use and security of the system, but the low-speed wireless link sacrifices the real-time performance of the acquisition system, and even reduces the high-precision, high-sampling rate and other indicators under certain special application requirements
In addition, the traditional wireless EMG signal acquisition system needs to customize the communication hardware and communication protocol of the control equipment such as the computer, which greatly limits the versatility of the traditional EMG signal acquisition equipment.
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[0069] The technical scheme of the present invention will be described in detail below by taking a male volunteer as an example.
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The invention discloses a multi-channel surface electromyography signal collection system based on the wireless fidelity (Wi-Fi) and a processing method thereof. The collection system comprises an electromyography signal conditioning circuit, a center control unit and an 802.11 controller. A surface electromyography electrode transmits original signals of collected surface electromyography signals to the electromyography signal conditioning circuit to conduct signal conditioning, and the conditioned signals are transmitted to a processing platform through the center control unit 202. The system utilizes a self-returning augmented reality (AR) model to conduct characteristic extraction on the surface electromyography signals, utilizes a support vector machine method to recognize moving direction and predict action force of human body lower limb ankles, is capable of effectively overcoming the shortcoming that a traditional electromyography signal processing method is low in recognition accuracy, and a recognition result is only disperse two-value action and the like.
Description
technical field [0001] The invention relates to the collection and processing of surface electromyography signals on the surface of the skin, in particular to a multi-channel surface electromyography signal collection system and processing method based on Wi-Fi. Background technique [0002] Surface electromyography (SEMG for short) signal is the temporal and spatial synthesis of muscle electrical activity at the skin surface. Different neuromuscular systems produce bioelectrical signals with different characteristics during voluntary and involuntary activities. By extracting and studying the characteristics of different bioelectrical signals, it is possible to effectively identify human body movements, diagnose muscle disorders, and guide rehabilitation medicine. In recent years, SEMG has not only been widely used in disease diagnosis, rehabilitation medicine, sports and other fields, but also has attracted much attention as a novel human-computer interaction input method. ...
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IPC IPC(8): A61B5/0488
Inventor 刘泉艾青松李成龙朱仕勇孟伟王康
Owner WUHAN UNIV OF TECH
