Title :
Extraction of parameters from EMG signals for the biofeedback electrical stimulation
Author :
Im, J.J. ; Rho, D.H. ; Jeon, Y.J. ; Lee, N.B. ; Chung, J.I.
Author_Institution :
Div. of Electron. & Inf. Eng., Chonbuk Nat. Univ., South Korea
Abstract :
This study was performed to extract the meaningful parameters from EMG signals, which could be used as biofeedback parameters for the rehabilitation treatment. Five male and five female subjects were participated in the experiment, and the EMGs with and without electrical stimulation were acquired for analysis. Zero-crossings, turns/second, and median frequency were extracted and analyzed to evaluate the effectiveness of pre and post electrical stimulation. Results showed the significant differences in muscle strengths and muscle fatigues between pre and post electrical stimulation. It was concluded that the parameters extracted could be used for the development of intelligent EMG biofeedback system.
Keywords :
electromyography; feature extraction; medical signal processing; patient rehabilitation; EMG signals; biofeedback parameters; electrodiagnostics; female subjects; intelligent EMG biofeedback system; male subjects; meaningful parameters extraction; post electrical stimulation; pre electrical stimulation; rehabilitation treatment; zero-crossings; Biological control systems; Data mining; Electrical stimulation; Electrodes; Electromyography; Force measurement; Frequency; Low pass filters; Mechatronics; Muscles;
Conference_Titel :
Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
Print_ISBN :
0-7803-7612-9
DOI :
10.1109/IEMBS.2002.1134422
