Characteristics analysis of muscle function network and its application to muscle compensatory in repetitive movement

Liu, Xiaoguang; Chen, Xu; Liang, Tie; Lou, Cunguang; Wang, Hongrui; Liu, Xiuling

doi:10.1016/j.bspc.2023.104639

Cited by 1 publication

(1 citation statement)

References 39 publications

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“…However, performing the exercise incorrectly may result in muscle compensation in other areas, thereby reducing the effectiveness of the exercise. Additionally, muscle compensation often indicates exercise fatigue [54]. It is necessary for exercisers to have a rest or stop exercising when they are tired to prevent their bodies from being injured by sports [55].…”

Section: Resultsmentioning

confidence: 99%

A self-powered intelligent integrated sensing system for sports skill monitoring

Zhang,

Sun,

Wen

et al. 2023

Nanotechnology

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The use of green intelligent sensing systems which are based on triboelectric nanogenerators have sparked a surge of research in recent years. The development has made significant contributions to the field of promoting human health. However, the integration of an intelligent sensing system with multi-directional triboelectric nanogenerators (TENGs) remains challenges in the field of motion monitoring. To solve this research issue, this study designed a self-powered multifunctional fitness blanket (SF-MFB) which incorporates four TENGs, features multi-sensors and wireless motion monitoring capabilities. It presents a self-powered integrated sensing system which utilizes four TENG sensing units to monitor human motion. Each TENG sensing unit collects the mechanical energy generated during motion. The system is composed of SF-MFB, Bluetooth transmission terminal, and upper computer analysis terminal. Its main purpose is to wirelessly monitor and diagnose human sports skills and enables real-time human–computer interaction. The TENG integrated self-powered sensing system demonstrates practicality in sports skills monitoring, diagnosis, human–computer interaction and entertainment. This research introduces a novel approach for the application of TENG self-powered intelligent integrated sensing system in health promotion.

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Section: Resultsmentioning

confidence: 99%