Title :
An intelligent approach for generation of muscular electrotherapy stimulation waveforms
Author :
Mahmood, Faisal ; Zia, Arslan ; Fatima, Mehak
Author_Institution :
Electr. Eng. Dept., Lahore Univ. of Manage. Sci., Lahore, Pakistan
Abstract :
In this paper, a novel technique for muscular pain relief during electrotherapy stimulation is proposed, analyzed and implemented. An intelligent algorithm based comparative referencing technique is used between affected and pain-free electromyogram (EMG) signals for real time automated tuning of applied electrotherapy waveform. As compared to the other manually tuned electrotherapy stimulators, this approach is proven to be significantly precise, efficient and easy to implement.
Keywords :
electromyography; medical signal processing; neuromuscular stimulation; real-time systems; EMG signals; affected electromyogram signal; applied electrotherapy waveform; comparative referencing technique; intelligent algorithm; intelligent approach; manually tuned electrotherapy stimulators; muscular electrotherapy stimulation waveform generation; muscular pain relief; pain-free electromyogram signal; real time automated tuning; Band pass filters; Electrodes; Electromyography; Instruments; Manuals; Muscles; Universal Serial Bus;
Conference_Titel :
Biomedical and Health Informatics (BHI), 2012 IEEE-EMBS International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4577-2176-2
Electronic_ISBN :
978-1-4577-2175-5
DOI :
10.1109/BHI.2012.6211757
