DocumentCode
1589287
Title
Adaptive filter design for estimation and detection of biological signals: an application to electroencephalography
Author
Rivera-Colon, Ramfis ; Reddy, Sridhar P. ; Lindquist, Claude S.
Author_Institution
Miami Univ., Coral Gables, FL, USA
fYear
1992
Firstpage
178
Abstract
An innovative technique for estimation and detection of alpha waves using adaptive filters is presented. In these analyses both Wiener transfer functions and non-Wiener transfer functions are used. Comparisons are made for different RMS signal-to-noise ratios. Simulations are done with class 1 filters where prior knowledge of all spectra estimates is assumed. These techniques are found to be very flexible in their application to other biological signals
Keywords
adaptive filters; biomedical electronics; electroencephalography; medical signal processing; RMS signal-to-noise ratios; Wiener transfer functions; adaptive filter design; alpha waves; biological signals detection; biological signals estimation; electroencephalography; nonWiener transfer functions; Adaptive filters; Adaptive signal detection; Application software; Brain modeling; Electroencephalography; Electromyography; Frequency; Scalp; Signal design; Signal detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
0-8186-3160-0
Type
conf
DOI
10.1109/ACSSC.1992.269282
Filename
269282
Link To Document