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Integrated Wearable System for Monitoring Skeletal Muscle Force of Lower Extremities
Heng Luo1,2, Ying Xiong1,2, Mingyue Zhu1,2
1Research Institute for Intelligent Wearable Systems, The Hong Kong Polytechnic University, Hong Kong SAR 999077, China.
This study introduces a smart compression stocking system for monitoring lower extremity muscle force. The system accurately measures muscle torque, offering a comfortable and effective alternative to traditional methods.
Area of Science:
- Biomedical Engineering
- Wearable Technology
- Sports Science
Background:
- Continuous monitoring of lower extremity muscles is vital for daily activities like walking and balance.
- Existing methods (electromyography, physiological cross-sectional area) have limitations in precision, real-time data acquisition, and user comfort.
Purpose of the Study:
- To design and validate an integrated smart compression stocking system (STIMES) for monitoring lower extremity muscle force.
- To address the limitations of conventional methods by incorporating fabric-based sensors and a user-centered design.
Main Methods:
- Development of a smart compression stocking system including fabric-embedded capacitive pressure sensors, an edge control unit, a mobile app, and cloud backend.
- Clinical experiments with twelve healthy individuals performing isometric ankle plantarflexion contractions.
- Simultaneous data collection using the STIMES and a commercial muscle force measurement system (Humac NORM).
Main Results:
- High linear correlation (coefficients > 0.92) was observed between the STIMES readout and muscle torque.
- Statistical analysis indicated that ankle angle had a more significant effect on results than individual subjects.
- The system demonstrated high accuracy and reliability in measuring isometric muscle force.
Conclusions:
- The integrated smart compression stocking system is a viable tool for monitoring lower extremity muscle force in isometric conditions.
- STIMES offers a comfortable and precise alternative for muscle force assessment.
- This technology has potential applications in rehabilitation, sports performance, and daily activity monitoring.
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