A Prototype System for Real-Time sEMG Analysis based on Lower-Limb Human Motion

초록

The surface electromyography (sEMG) signal of lower limb is used as a major source for gait cycle pattern, locomotion mode change, locomotion mode, and analysis of Parkinson's disease or muscle fatigue. We implemented prototype system for analysis based on gait sub-phases. The proposed system is implemented on the Biopac's MP150CW system. sEMG signals are recorded by the Biopac's BN-EMG2. Knee's angle and foot's force used for detecting gait sub-phases are recorded by acquisition module which made by us. The physical sensor acquisition module consists of force sensors, wireless transmitter, and flex sensor. For synchronous recording with sEMG signals, acquired data by acquisition module is recorded through Biopac's UIM100C. The implemented prototype system can be used for sEMG analysis application which requires physical sensor data for detecting gait sub-phase.

제목
A Prototype System for Real-Time sEMG Analysis based on Lower-Limb Human Motion
저자
KIM DEOKHWAN
학회명
ICNGC (The 2nd International Conference on Next Generation Computing) 2017
개최지
Norfolk Hotel_MANLY
학회 개최일
2017-01-05 ~ 2017-01-07