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

fYear

2012

fDate

5-7 Jan. 2012

Firstpage

997

Lastpage

1000

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/BHI.2012.6211757

Filename

6211757