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
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;
Conference_Titel :
Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-3160-0
DOI :
10.1109/ACSSC.1992.269282
