Effects of Synergist vs. NonSynergist Split Resistance Training Routines on Acute Neuromuscular Performance in Resistance-Trained Men.

Castanheira, RPM, Ferreira-Junior, JB, Celes, RS, Rocha-Junior, VA, Cadore, EL, Izquierdo, M, and Bottaro, M. Effects of synergist vs. nonsynergist split resistance training routines on acute neuromuscular performance in resistance-trained men. J Strength Cond Res 31(12): 3482-3488, 2017-The aim of this study was to evaluate the effects of synergist (SN) vs. nonsynergist (NS) split resistance training routines on the acute neuromuscular performance of the elbow flexors in resistance-trained men. Fifteen resistance-trained men (age: 23.2 ± 4.0 years, height: 173.0 ± 0.08 cm, and body mass: 78.38 ± 9.31 kg) randomly performed 3 training routines separated by an interval of 7 days: (a) pull-pull exercises (SN), which included 6 sets of 10 repetition maximum (RM) of a seated row exercise followed by 4 sets of 10RM of the preacher biceps curl exercise; (b) push-pull exercises (NS), which included 6 sets of 10RM of the bench press exercise followed by 4 sets of 10RM of the preacher biceps curl exercise; and (c) Control, which included 4 sets of 10RM of the preacher biceps curl exercise. Elbow flexors peak torque, total work, and the amplitude of electromyography signal (EMG root mean square) were measured during the elbow flexor isokinetic exercise. Peak torque was 10.2 and 3.9% higher during Control condition when compared with the SN and NS conditions, respectively (p ≤ 0.05). Peak torque was also 6.0% greater in the NS condition than the SN condition (p ≤ 0.05). Moreover, total work was 5.1% greater in the NS condition than the SN condition. Additionally, EMG findings did not differ among conditions (p > 0.05). In conclusion, a push and pull NS split routine is recommended to maximize elbow flexor training performance (i.e., lower acute loading effect) in trained subjects.

The behavior of action potential conduction velocity on isokinetic knee extension tests.

The present study investigates the behavior of action potential conduction velocity (CV) on each repetition of an isokinetic test set and on each set as a whole. A total of seven healthy men (27.7 ± 2.8 yrs, 1.74 ± 0.06 m, and 79.6 ± 11.0 Kg) performed 3 (three) sets of 10 (ten) maximal concentric repetitions of dominant knee extension at 60°/s on an isokinetic dynamometer, with 1 minute of rest interval between the sets. The surface electromyographic (SEMG) signals were recorded from the vastus lateralis muscle during the exercises. CV was estimated with a spectral matching method which requires the SEMG acquisition technique based on a flexible linear array of electrodes (here used with 8 electrodes and 5 mm inter-electrode distance). With the view to minimize the factors other than fatigue that also influence the CV behavior, only the extension phase of the isokinetic exercise repetition was considered for measurements. Results showed that CV usually increases during a single repetition whereas it has a decreasing tendency along the isokinetic set seen as a whole.

Isokinetic work-to-surface electromyographic signal energy ratios as a muscular fatigue indicator.

Efficiency of muscular work is usually measured as the relationship between work load and maximum exercise duration. The present study analyzes the efficiency feature as a ratio between mechanical work (WK) and the energy (E) of the surface electromyographic signal (SEMG). This relation (WK/E(SEMG)) was compared with the most common electromyographic descriptors and its behavior was observed during muscle fatigue. A total of sixteen healthy men (26.8 +/- 4.7 yrs, 175.7 +/- 4.7 cm, and 79.2 +/- 9.4 kg) performed three sets of ten maximal concentric repetitions of dominant knee extension at 60 degrees /s on an isokinetic dynamometer, with 1 minute of rest interval between the sets. The SEMG signals were recorded during the exercises. With the view to minimize the factors other than fatigue that also influence the SEMG descriptors behavior, the only isokinetic repetition phase considered for measurements was the load range. Statistical analyses showed significant correlations between WK/E(SEMG) and the traditional electromyographic fatigue indicators.