Abstract:

BACKGROUND: Gait analysis is an important evaluation tool in etiological analysis and diagnosis of the human motor system and the nervous system, as well as the function, efficacy and disability evaluation, and muscle activity is the basic factor influencing walking power.
OBJECTIVE: To analyze the surface electromyography signal changes of lower limb muscles in the process of free walking, and to study the surface electromyography characteristics and mechanism corresponding to different gait phases.
METHODS: Seven cases of healthy people tibial anterior and lateral gastrocnemius surface electromyography signal were collected during normal gait by German Zebris FDM gait analysis system (6 m) simultaneous electromyography instrument, the signal was denoised and normalized by Matlab software, then the surface electromyography signal diagram that corresponded to various gait phases was obtained and the peak changes were observed; the 15 m free human walking bilateral tibial anterior and lateral gastrocnemius surface electromyography signals were tested by Finland ME6000 system, and then the time domain and frequency domain characteristic parameters were extracted.
RESULTS AND CONCLUSION: Tibial anterior and lateral gastrocnemius surface electromyography signals showed characteristic changes in a gait cycle, namely the tibial anterior surface electromyography peak occurred in the heel strike, but the lateral gastrocnemius surface electromyography peak occurred in the middle-rear support phase. There was significant difference of bilateral tibial anterior and lateral gastrocnemius characteristic parameters between the dominant side and non-dominant one (P < 0.05), and the change trend was different for different muscles.