상세정보
학술지
Volitional EMG Estimation Method during Functional Electrical Stimulation by Dual-Channel Surface EMGs
- 발행일
- 202112
- 출처
- Sensors, v.21 no.23, pp.1-17
- ISSN
- 1424-8220
- 출판사
- MDPI
- 협약과제
- 21HS3900, 신체기능의 이상이나 저하를 극복하기 위한 휴먼 청각 및 근력 증강 원천 기술 개발, 신형철
- 초록
- We propose a novel dual-channel electromyography (EMG) spatio-temporal differential (DESTD) method that can estimate volitional electromyography (vEMG) signals during time-varying functional electrical stimulation (FES). The proposed method uses two pairs of EMG signals from the same stimulated muscle to calculate the spatio-temporal difference between the signals. We performed an experimental study with five healthy participants to evaluate the vEMG signal estimation performance of the DESTD method and compare it with that of the conventional comb filter and Gram?밪chmidt methods. The normalized root mean square error (NRMSE) values between the semi-simulated raw vEMG signal and vEMG signals which were estimated using the DESTD method and conventional methods, and the two-tailed t-test and analysis of variance were conducted. The results showed that under the stimulation of the gastrocnemius muscle with rapid and dynam-ically modulated stimulation intensity, the DESTD method had a lower NRMSE compared to the conventional methods (p < 0.01) for all stimulation intensities (maximum 5, 10, 15, and 20 mA). We demonstrated that the DESTD method could be applied to wearable EMG-controlled FES systems because it estimated vEMG signals more effectively compared to the conventional methods under dynamic FES conditions and removed unnecessary FES-induced EMG signals.
- KSP 제안 키워드
- An experimental study, Analysis of Variance, Comb filter, Conventional methods, EMG signal, Electromyography (emg), Estimation method, Functional Electrical stimulation, Gastrocnemius muscle, Normalized Root Mean Square Error, Root mean square(RMS)
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