Title :
Surface EMG analysis of tibialis anterior muscle in walking with FES in stroke subjects
Author :
Sabut, S.K. ; Kumar, R. ; Lenka, P.K. ; Mahadevappa, M.
Author_Institution :
Sch. of Med. Sci. & Technol., Indian Inst. of Technol., Kharagpur, India
fDate :
Aug. 31 2010-Sept. 4 2010
Abstract :
In this work we have examined the effect of functional electrical stimulation (FES) in the management of drop foot in stroke subjects with surface electromyographic (sEMG) analysis from the tibialis anterior (TA) muscle. Ten subjects were assigned to FES therapy combined with conventional stroke rehabilitation program 5 days a week, 60 min a day, for 12-weeks in clinical settings. Baseline and post-treatment measurements were made for temporal and spectral parameters of EMG signals of TA muscle. The evaluation results reported an increase in mean-absolute-value (MAV), root-mean-square (RMS) and also improved the amplitude and median frequency (MF) of the sEMG power spectrum in monitoring the improvement of the tibialis anterior muscle during maximum voluntary contractions (MVC). We conclude that walking with FES system combined with a conventional rehabilitation program improves the muscle strength in stroke survivors.
Keywords :
electromyography; gait analysis; medical disorders; medical signal processing; neuromuscular stimulation; patient rehabilitation; FES therapy; functional electrical stimulation; maximum voluntary contractions; spectral parameters; stroke; surface EMG analysis; temporal parameters; tibialis anterior muscle; walking; Electromyography; Estimation; Foot; Frequency estimation; Legged locomotion; Medical treatment; Muscles; Adult; Electric Stimulation Therapy; Electromyography; Humans; Middle Aged; Muscle, Skeletal; Stroke; Time Factors; Walking;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5627503