Chen Fu-Yu, Lin Tzu-Yao, Huang Yi-Cheng, Widianawati Evina
Department of Biomedical Engineering, Chung Yuan Christian University, No. 200, Zhongbei Road, Zhongli District, Toayuan City, 32023, Taiwan, 886 32564507.
JMIR Hum Factors. 2025 Jan 7;12:e65578. doi: 10.2196/65578.
Muscle fatigue, characterized by reduced force generation during repetitive contractions, impacts older adults doing daily activities and athletes during sports activities. While various sensors detect muscle fatigue via muscle activity, biochemical markers, and kinematic parameters, a real-time wearable solution with high usability remains limited. Plantar pressure monitoring detects muscle fatigue through foot loading changes, seamlessly integrating into footwear to improve the usability and compliance for home-based monitoring.
This study aimed to investigate the effects of muscle fatigue on plantar pressure measurements using a self-developed wearable plantar pressure system.
Twelve healthy participants completed a 5-minute calf muscle fatigue protocol. The plantar pressures and surface electromyography (sEMG) activity of the gastrocnemius muscles were recorded before and after exercise. The plantar pressures at 6 regions and the median frequency (MDF) of sEMG were analyzed to quantify fatigue.
The self-developed foot pressure system showed a significant decrease in plantar pressure peak values at the heel of the left (P=.003) and right feet (P=.001) and at the lateral toe of the left (P=.001) and right feet (P=.026). A significant increase was observed at the metatarsal head of both the left foot (P=.001) and the right foot (P=.017). The MDF of sEMG signals significantly decreased in the left (P=.001) and right gastrocnemius (P<.001).
Plantar pressure changes and sEMG signals effectively detect gastrocnemius muscle fatigue using the proposed wearable system, supporting the development of a wearable solution for detecting muscle fatigue suitable for home-use.
肌肉疲劳的特征是在重复收缩过程中力量产生减少,这会影响老年人的日常活动以及运动员的体育活动。虽然各种传感器可通过肌肉活动、生化标志物和运动学参数来检测肌肉疲劳,但具有高可用性的实时可穿戴解决方案仍然有限。足底压力监测通过足部负荷变化来检测肌肉疲劳,可无缝集成到鞋类中,以提高居家监测的可用性和依从性。
本研究旨在使用自行开发的可穿戴足底压力系统,探讨肌肉疲劳对足底压力测量的影响。
12名健康参与者完成了一项5分钟的小腿肌肉疲劳方案。在运动前后记录腓肠肌的足底压力和表面肌电图(sEMG)活动。分析6个区域的足底压力和sEMG的中位频率(MDF)以量化疲劳程度。
自行开发的足部压力系统显示,左(P = 0.003)、右(P = 0.001)足跟以及左(P = 0.001)、右(P = 0.026)足外侧趾的足底压力峰值显著降低。左(P = 0.001)、右(P = 0.017)足足底跖骨头处的压力显著增加。左(P = 0.001)、右(P<0.001)侧腓肠肌的sEMG信号MDF显著降低。
使用所提出的可穿戴系统,足底压力变化和sEMG信号可有效检测腓肠肌疲劳,支持开发一种适用于家庭使用的检测肌肉疲劳的可穿戴解决方案。