Martin Del Campo Vera Roberto, Jonckheere Edmond
Department of Neurological Surgery, University of Southern California Keck School of Medicine, Los Angeles, CA, United States.
Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States.
Front Physiol. 2021 Dec 2;12:724027. doi: 10.3389/fphys.2021.724027. eCollection 2021.
In this paper, a new electromyographic phenomenon, referred to as , is reported. Not only does it manifest itself visually as a train of short periods of accrued surface electromyographic (sEMG) activity in the traces, but it has a deeper underpinning because the sEMG bursts are synchronous with wavelet packets in the D8 subband of the Daubechies 3 (db3) wavelet decomposition of the raw signal referred to as "-which are absent during muscle relaxation. Moreover, the db3 wavelet decomposition reconstructs the sEMG bursts with contiguous relatively high detail coefficients at level 8, suggesting a high incidence of two consecutive neuronal discharges. Most importantly, the timing between successive bursts shows some variability, hence the BRV acronym. Contrary to , where the R-wave is easily identified, here, time-localization of the burst requires a statistical waveform matching between the " and the burst in the raw sEMG signal. Furthermore, statistical fitting of the empirical distribution of return times shows a striking difference between control and quadriplegic subjects. Finally, the BRV rate appears to be within 60-88 bursts per minute on average among 9 human subjects, suggesting a possible connection between BRV and HRV.
在本文中,报道了一种新的肌电现象,称为 。它不仅在视觉上表现为一系列短时间累积的表面肌电(sEMG)活动痕迹,而且有更深层次的基础,因为sEMG爆发与原始信号的Daubechies 3(db3)小波分解的D8子带中的小波包同步,而在肌肉放松时这些小波包不存在。此外,db3小波分解在第8级重建了具有连续相对高细节系数的sEMG爆发,表明连续两次神经元放电的发生率很高。最重要的是,连续爆发之间的时间显示出一些变化,因此有BRV这个首字母缩写词。与 中R波很容易识别的情况相反,这里爆发的时间定位需要在原始sEMG信号中的“ ”和爆发之间进行统计波形匹配。此外,返回时间经验分布的统计拟合显示,对照组和四肢瘫痪受试者之间存在显著差异。最后,9名人类受试者的BRV率平均似乎在每分钟60 - 88次爆发之间,这表明BRV与HRV之间可能存在联系。