Noninvasive estimation of muscle fiber conduction velocity distribution using an electromyographic processing technique

Background: Electromyography (EMG) is useful in investigating muscle activation; however, noninvasive evaluation of surface EMG is limited due to its complicated waveform. This study investigated muscle structure and activation using all analysis technique for surface EMG. Material/Methods: Surface array electrodes were used in 17 healthy finale subjects to record eight-channel EMGs from each biceps brachii muscle during voluntary isometric contraction with a 1-kg weight band with the subjects seated. The peaks detected by referenced EMGs were normalized and averaged as averaged pulses (APs) and the innervation zone (IZ) was estimated from the APs. Muscle fiber conduction velocities (MFCVs), estimated by the time difference of the peaks (method P) and by cross-correlation (method CC) by APs, were compared. Time periods with positive values around the central peak in All (PP) were measured and the contribution of MFCVs by motor unit action potentials (MUAPs) was estimated. Results: IZs were estimated in 12 subjects. Near the IZ, correlation between MFCVs by methods P and CC wars lower than in other locations; MFCV was significantly larger by method P than by method CC in the vicinity of the IZ. PP of the comparison AP was significantly larger than that of the reference AP. The distribution of the MFCVs by different MUAPs was verified by computer simulation. Conclusions: Surface EMG was used to demonstrate the diversity of MFCVs, with some increased MFCVs, for several MUAPs in the vicinity of the IZ. This method could be applied to the evaluation of neuromuscular disorders.