Adaptive cancellation technique in processing myoelectric activity of respiratory muscles

Author

Akkiraju, Padma ; Reddy, D.C.

Author_Institution

Dept. of Electr. & Comput. Eng., Osmania Univ., Hyderabad, India

Volume

39

Issue

6

fYear

1992

fDate

6/1/1992 12:00:00 AM

Firstpage

652

Lastpage

655

Abstract

The adaptive noise cancellation technique was used to reduce the interfering cardiac activity from the recorded myoelectric activity. The adaptive noise canceler implemented in a transversal structure was found to successfully reduce the corrupting cardiac activity. A description is presented of the cancellation of the corrupting cardiac activity from the recorded myoelectric activity using an adaptive noise cancellation technique and the characteristic features of spectra of EMG (electromyographic) signals.

Keywords

bioelectric potentials; muscle; signal processing; adaptive noise cancellation technique; interfering cardiac activity; myoelectric activity processing; respiratory muscles; spectra characteristic features; transversal structure; Abdomen; Adaptive filters; Cardiac disease; Cardiovascular diseases; Electrocardiography; Electromyography; Interference; Muscles; Noise cancellation; Surface cleaning; Algorithms; Electrocardiography; Electrodes; Electromyography; Humans; Reference Values; Respiratory Muscles; Signal Processing, Computer-Assisted;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/10.141204

Filename

141204