Muscle excitability during sustained maximal voluntary contractions by a separate analysis of the M-wave phases.

This study was designed to examine separately the changes in the first and second phases of the muscle compound action potential (M-wave) during and after a sustained 3-minutes maximal voluntary contraction (MVC). M-waves were evoked by supramaximal single shocks to the femoral nerve given at 10-seconds intervals throughout a sustained isometric 3-minutes MVC and also during six brief MVCs performed throughout a 30-minutes recovery period. The amplitude, duration, and area of the M-wave first and second phases, together with muscle conduction velocity and force, were measured. During the 3-minutes MVC, the amplitude of the first phase increased progressively for the first minute (33%-43%, P<.01) and remained stable thereafter, whereas the second phase initially increased for 25-35 seconds (30%-50%, P<.01), but subsequently decreased significantly before stabilizing. During the recovery period, the amplitude of the M-wave first phase showed a decreasing trend, returning to pre-fatigue values (P>.01) within 5-10 minutes, while the second phase increased progressively and remained higher than control (7%-20%, P<.01) after the 30-minutes recovery time. Maximal cross-correlations between the time course of the first phase amplitude and those of conduction velocity and force (0.9-0.93) occurred for a lag of 0 seconds, whereas maximal cross-correlations corresponding to the second-phase amplitude (0.6-0.7) occurred for a 50-seconds time lag. The present findings indicate that the potentiation of the first phase results from impaired muscle membrane excitability. The peak-to-peak amplitude and second-phase amplitude are not valid indicators of muscle excitability as they might be critically affected by muscle architectural features.

Muscle conduction velocity, strength, neural activity, and morphological changes after eccentric and concentric training.

This study compared the effects of concentric and eccentric training on neuromuscular adaptations in young subjects. Twenty-two men and women were assigned to one of two groups: concentric (CON, n = 11) and eccentric (ECC, n = 11) training. Training consisted of 6 weeks of isokinetic exercise, performed twice weekly, starting with two sets of eight repetitions, and progressing to five sets of 10 repetitions. Subjects were tested in strength variables [concentric, eccentric, and isometric peak torque (PT), and rate of force development (RFD)], muscle conduction velocity (CV), neuromuscular activity, vastus lateralis (VL) muscle thickness, and echo intensity as determined by ultrasonography. There were similar increases in the concentric and eccentric PTs in both the CON and ECC groups (P < 0.01), but only the ECC group showed an increase in isometric PT (P < 0.001). Similarly, both groups exhibited increased VL muscle thickness, CV, and RFD, and reduced VL echo intensity (P < 0.05). Significant correlations were observed among the relative changes in the neuromuscular outcomes and training variables (e.g., total work, average PT) (r = 0.68-0.75, P < 0.05). The results showed that both training types similarly improved dynamic PT, CV, RFD, and muscle thickness and quality during the early weeks of training.

Filter design for cancellation of baseline-fluctuation in needle EMG recordings.

Appropriate cancellation of the baseline fluctuation (BLF) is an important issue when recording EMG signals as it may degrade signal quality and distort qualitative and quantitative analysis. We present a novel filter-design approach for automatic cancellation of the BLF based on several signal processing techniques used sequentially. The methodology is to estimate the spectral content of the BLF, and then to use this estimation to design a high-pass FIR filter that cancel the BLF present in the signal. Two merit figures are devised for measuring the degree of BLF present in an EMG record. These figures are used to compare our method with the conventional approach, which naively considers the baseline course to be of constant (without any fluctuation) potential shift. Applications of the technique on real and simulated EMG signals show the superior performance of our approach in terms of both visual inspection and the merit figures.