Electronics and Telecommunications Research Institute, Daejeon 34129, Korea.
Sensors (Basel). 2021 Nov 30;21(23):8015. doi: 10.3390/s21238015.
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-Schmidt 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 dynamically modulated stimulation intensity, the DESTD method had a lower NRMSE compared to the conventional methods ( < 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.
我们提出了一种新颖的双通道肌电图(EMG)时空差分(DESTD)方法,可在时变功能性电刺激(FES)期间估计随意肌电图(vEMG)信号。该方法使用来自同一刺激肌肉的两对 EMG 信号来计算信号之间的时空差异。我们进行了一项包含五名健康参与者的实验研究,以评估 DESTD 方法对 vEMG 信号估计性能,并将其与传统梳状滤波器和 Gram-Schmidt 方法进行比较。对使用 DESTD 方法和传统方法估计的半仿真原始 vEMG 信号和 vEMG 信号之间的归一化均方根误差(NRMSE)值进行了双尾 t 检验和方差分析。结果表明,在快速且动态调制刺激强度刺激腓肠肌的情况下,与传统方法相比(<0.01),DESTD 方法在所有刺激强度(最大 5、10、15 和 20 mA)下的 NRMSE 均较低。我们证明,与传统方法相比,DESTD 方法在动态 FES 条件下更有效地估计 vEMG 信号,并且可以去除不必要的 FES 诱导的 EMG 信号,因此可应用于可穿戴 EMG 控制的 FES 系统。