A new method for exploring the sensitivity of lower limb neu-romuscular recruitment

Purpose: The feet are the cornerstone that supports the structure of the human body and is vital to human health in daily life. Walking exercise can improve human health and promote socialist builders and successors through comprehensive development of morals, intelligence, physical fitness, aesthetics and work skills. However, the flat feet group may encounter many related problems during long-term walking, such as: B. Plantar fasciitis, toe bone pain and knee joint pain. This study examined whether Arch Support Insoles (ASIs) compared to Flat Insoles (FIs) can reduce muscle fatigue in the lower limbs of flatfoot groups during walking and examined a new method for detecting the sensitivity of electromyographic spectrum intervals in diagnosing lower neuromuscular symptoms Limbs from the perspective of sports biomechanics. Method: A total of 15 female students with flat feet were recruited for this study and deemed eligible to participate. Each participant met the inclusion criteria of Chippoux-Smirak index >45%. Analyzed electromyography of the rectus femoris (RF), biceps femoris (BF), gastrocnemius (GAS), and tibialis anterior (TA) muscles during a 6-minute uphill walk. Use the paired sample t test to compare the differences in power spectrum ranges between ASIs and FIs in the subfrequency band intervals 20–50, 50–80, 80–110, 110–140 Hz. Results and Discussion: Within the frequency band interval of 20-140 Hz for the rectus femoris, tibialis anterior, and gastrocnemius muscles, PSA when wearing arched insoles was significantly lower than that of flat insoles (p = 0.009, p = 0.006). p=0.009), suggesting that wearing arch support insoles can effectively reduce fatigue of lower extremity muscle groups compared to flat insoles. In the rectus femoris, tibialis anterior, biceps femoris and gastrocnemius muscles, the coefficient of variation (CV) of curved insoles is lower than that of flat insoles. Conclusion and Suggestions: When walking uphill, wearing arched insoles can effectively reduce muscle fatigue in the lower limbs. In addition, it is recommended to use the 20-50Hz power spectral range detection method to detect muscle fatigue in the rectus femoris muscle, which has better sensitivity. To detect gastrocnemius muscle fatigue, power spectral range detection methods of 50–80 Hz or 80–110 Hz can be used to improve researchers' efficiency in processing electromyographic signals.