DocumentCode :
754476
Title :
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
Link To Document :
بازگشت