Wearable intelligent armband for muscle exercise monitoring and muscle movement state monitoring method

Abstract

The invention relates to a wearable intelligent armband for muscle exercise monitoring and a muscle movement state monitoring method. A triceps sensor and a biceps sensor of the intelligent armband are connected to a wireless synchronous trigger device, and the triceps sensor and the biceps sensor are connected to a microprocessor, a microprocessor is coupled to an alarm device, the triceps sensorand the biceps sensor are placed on the surface of an annular elastic band, and the biceps sensor is located at the biceps of the arm, the triceps sensor is located at the triceps of the arm, and theannular elastic band is woven by the longitudinal elastic knitted fabric and the transverse elastic knitted fabric, the elasticity of the longitudinal elastic knitted fabric is greater than the elasticity of the transverse elastic knitted fabric, and the triceps sensor and the biceps sensor consist of a flexible force/position sensor and a three-axis acceleration sensor. The method shortens the detection time by automatic data acquisition and processing, and realizes the convenient and rapid monitoring of the upper arm muscle movement state.

Description

technical field [0001] The invention relates to the field of smart wear, in particular to a wearable smart armband for monitoring muscle movement and a method for monitoring muscle movement state. Background technique [0002] With the strengthening of people's health awareness, exercise and physical exercise have become particularly popular. However, high-intensity, unscientific and standardized exercise methods can backfire, such as muscle pain or muscle tear caused by excessive force during exercise. Once an injury occurs, it must be dealt with by complete rest and medical measures. It is therefore necessary to monitor exercise intensity to prevent sports injuries and improve recovery in the event of injury. [0003] The state characteristics of muscle groups are currently monitored by wearable smart clothing as a carrier, such as Zhang Xiaowei's research on wearable systems based on motion information monitoring, Zhu Xinjian's "Smart Clothing and Its Method for Improvin...

AI Technical Summary

Problems solved by technology

[0003] The state characteristics of muscle groups are currently monitored by wearable smart clothing as a carrier, such as Zhang Xiaowei's research on wearable systems based on motion information monitoring, Zhu Xinjian's "Smart Clothing and Its Method for Improving Training Effects" (CN106037731A), etc. Most of the methods are to collect human body surface EMG signals, and sense the activity of muscle fibers through built-in EMG signal sensors, but the problem is that the sensors or electrodes are used for electrical stimulation to

Images