Computer-based signal analysis of loaded whole-body vibration training on lower limb neuromuscular activation and power

To employ advanced computer-based signal analysis techniques to precisely and quantitatively evaluate the specific effects of loaded whole-body vibration training on lower limb neuromuscular activation status and power performance. Methods: (1) The study subjects were 14 healthy male subjects without training history; (2) Weighted vibration in three positions, 30 seconds per vibration; (3) Countermovement Jump (CMJ) and squat jump (SJ) were tested before and immediately after each exercise; (4) Surface electromyography (sEMG) signals were acquired from the rectus femoris, vastus medialis, vastus lateralis, biceps femoris, tibialis anterior, medial gastrocnemius, and lateral gastrocnemius muscles using an sEMG system. Results: (1) Weighted vibration (static/half/deep squat) significantly increased the root mean square (RMS) electromyogram of the rectus femoris, vastus medialis, vastus lateralis, tibialis anterior, and gastrocnemius muscles (p0.05), but increased significantly during both the half squat and deep squat (p0.05).(3) Both vibration stimulation and weighted posture had a significant main effect on CMJ push-off power (p