ANALYSIS AFTER STABILOMETRIC PROPRIOCEPTIVE EXERCISES: A RANDOMIZED CONTROLLED CLINICAL STUDY

Objective: identify stabilometric changes before and after a program of proprioceptive training. Methods: a randomized controlled clinical trial was conducted with 18 subjects, mean age 20.6 ± 2.1 years of age, of both sexes, with a mean body mass index 23.3 ± 5.4 kg/m² that were evaluated in stabilometric platform before and after a program of proprioceptive training using the equipment and proprioceptive hard rocker, and divided into proprioception (n = 10) and control group (n = 8) group. The proprioceptive training consisted of 10 measures with one foot, knee in semiflexion for 30 seconds twice a week for five weeks using the rocker apparatus and proprioceptive disc. Results: D’Agostinotests were performed to test the normality, to which it was noted that the study sample was obtained normal behavior for both groups: proprioception and control, was used the Student t-test for observation the significance of p value (<0.05). At the end of the intervention subjects were reassessed at stabilometric platform on which it was observed that the proprioception group there was a significant reduction in body sway in relation to the control group (p = 0.002). Conclusion: the short time, with oneleg proprioceptive training has been shown to be effective for improving balance by reducing body sway

Neuromuscular fatigue detection by mechanomyography in people with complete spinal cord injury

Functional electrical stimulation (FES) is a method of activating paralyzed muscles. During FES application, fast muscle fatigue can occur (the inability of stimulated muscles to generate force). Therefore, it is beneficial to estimate the muscle fatigue for FES closed-loop control for walking to prevent unexpected muscle collapse and adapt the FES strategy in real time. Mechanomyography (MMG) is a noninvasive technique for registering myofiber vibrations, representing an ideal candidate for the provision of feedback. The hypothesis was that MMG signals could effectively detect muscle fatigue and, thus, provide feedback