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Body-building action self-recognition and alarm system based on electromyographic signal acquisition

A technology of myoelectric signal acquisition and alarm system, which is applied in the field of bioelectrical signal recognition and analysis, can solve the problems of general fitness intensity feedback and inability to well reflect the exercise status of the bodybuilder, so as to ensure effectiveness and real-time, good Fitness effect, effect of ensuring effective monitoring

Active Publication Date: 2022-04-08
SICHUAN UNIVERSITY OF SCIENCE AND ENGINEERING
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003]Most of the portable and intelligent fitness equipment on the market today is dedicated to heart rate, ECG, blood pressure, sleep monitoring, and exercise calculation, etc., based on the degree of muscle contraction and relaxation. The auxiliary fitness equipment that feedbacks whether the fitness action is standard has not been heard; the fitness wearable equipment that involves exercise intensity calculation mainly relies on heart rate collection technology, and the fitness intensity feedback is too general and cannot reflect the exercise state of the exerciser well.

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  • Body-building action self-recognition and alarm system based on electromyographic signal acquisition
  • Body-building action self-recognition and alarm system based on electromyographic signal acquisition
  • Body-building action self-recognition and alarm system based on electromyographic signal acquisition

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Embodiment Construction

[0046] Hereinafter, some exemplary embodiments are simply described. As will be appreciated by those skilled in the art, the described embodiments can be modified in a variety of different ways without departing from the spirit or scope of the present application embodiment. Thus, the drawings and descriptions are considered to be exemplary rather than restrictive.

[0047] Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0048] The embodiment of the present invention provides a fitness action self-identification and alarm system based on an electromyophobic signal, involving bioelectric signal identification and analysis techniques and alarm reminders, aimed at collective and analytical by electromyography to monitor different parts of the fitness personnel. The degree of muscles, which further feedback whether the user's fitness action is standard to provide scientific fitness guidance to fitness, and improve s...

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Abstract

The invention provides a fitness action self-recognition and alarm system based on electromyographic signal acquisition. The fitness action self-recognition and alarm system comprises an electromyographic signal acquisition module, a processor module, a control module and a display module, electrodes of the electromyographic signal acquisition module are connected with a tested part of a tested object in a lead mode to acquire electromyographic signals, the acquired electromyographic signals are transmitted to the processor module, and the processor module preprocesses the electromyographic signals, extracts characteristic quantities in the signals and conducts mode recognition. The control module is respectively connected with the electromyographic signal acquisition module and the processor module and is used for controlling the operation of the electromyographic signal acquisition module and the processor module; the display module is connected with the control module and used for displaying a graphical user interface of the control module. According to the invention, the muscle force exerting degrees of different parts of the body builder during exercise are monitored through acquisition and analysis of the electromyographic signals, and then whether the body building action of the user is standard or not is visually fed back, so that scientific body building guidance is provided for the body builder, and the exercise and body building efficiency is improved.

Description

Technical field [0001] The present invention relates to the field of biological signal identification and analysis, and more particularly to a fitness action self-identification and alarm system based on an electromyophobic signal acquisition. Background technique [0002] With the development of the national quality, more and more people recognize the importance of fitness exercise, but non-professional fitness is difficult to judge whether their own movements are standard during exercise, whether the muscles are appropriate, blindly exercise, Instead, if you have any erroneous motion, physical fatigue damage is caused. Therefore, monitoring identification and evaluation alarms for fitness actions have important practical significance. [0003] Nowadays, in the market, intelligent fitness equipment is mostly committed to heart rate, electrocardiographic, blood pressure, sleep monitoring, and exercise calculations. Based on muscle contraction, diastolicity to feed back whether th...

Claims

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Application Information

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IPC IPC(8): A63B71/06
Inventor 杜玲艳杨兰徐小入陈香远张文文尹冬生任玉琴
Owner SICHUAN UNIVERSITY OF SCIENCE AND ENGINEERING
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