Electromyographic Bridge—a multi-movement volitional control method for functional electrical stimulation: prototype system design and experimental validation
| Autor: | Xiao-Bin Chen, Yu-Xuan Zhou, Yu-Jie Gao, Xiaoying Lü, Zhigong Wang, Hai-Peng Wang, Xiao-Peng Cao, Zheng-Yang Bi |
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| Rok vydání: | 2017 |
| Předmět: |
Volition
medicine.diagnostic_test Electromyography Computer science Movement 0206 medical engineering Stimulation 02 engineering and technology Wrist Hand 020601 biomedical engineering Electric Stimulation 03 medical and health sciences 0302 clinical medicine medicine.anatomical_structure medicine Humans Functional electrical stimulation 030217 neurology & neurosurgery Electric stimulation Simulation |
| Zdroj: | EMBC |
| DOI: | 10.1109/embc.2017.8036798 |
| Popis: | The voluntary participation of the paralyzed patients is crucial for the functional electrical stimulation (FES) therapy. In this study, we developed a strategy called “EMG Bridge” (EMGB) for volitional control of multiple movements using FES technique. The surface electromyography (sEMG) signals of the agonist muscles were transformed to stimulation pulses with various pulse width and frequency to stimulate the target paralyzed muscles using MAV/NSS co-modulation (MNDC) algorithm we proposed recently. Motion pattern classification based on linear discriminant analysis (LDA) was included to recognize the motion status and mapping the sEMG detection channel to the corresponding stimulation channel. A prototype EMGB system was built for real-time control of four hand movements. The test results showed that the movements can be reproduced with a successful rate of 92.5±3.5%. The angle trajectory of wrist joint and metacarpal-phalangeal joint can be mimicked with a maximum cross-correlation coefficient > 0.84 and a latency less than 300 ms. |
| Databáze: | OpenAIRE |
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