Title :
Time-frequency analysis of auditory evoked potentials using STFT-based adaptive filters
Author :
Song, Yuying ; Lindaquist, Claude
Author_Institution :
Dept. of Electr. & Comput. Eng., Ameritec Corp., Covina, CA, USA
fDate :
Oct. 29 2000-Nov. 1 2000
Abstract :
Adaptive filters are extremely useful for signal analysis. Using a time-frequency viewpoint, adaptive filters can be designed for short-term spectral analysis of signals. We use the short-term Fourier transform for a time-frequency analysis of auditory evoked potential (AEP) data. This data is characterized by a time-varying spectrum that falls into three distinct regions: early, middle, and late responses. We discuss the filters needed to do this analysis. We also show that these filters provide more spectral isolation of signals and improved interpretation of AEP data.
Keywords :
Fourier transforms; adaptive filters; adaptive signal processing; auditory evoked potentials; filtering theory; medical signal processing; spectral analysis; time-varying filters; AEP data interpretation; STFT-based adaptive filters; adaptive filters; auditory evoked potentials; early response; late response; middle response; short-term Fourier transform; short-term spectral analysis; signal analysis; spectral isolation; time-frequency analysis; time-varying filter; time-varying spectrum; Adaptive filters; Biomedical computing; Biomedical engineering; Fourier transforms; Kernel; Signal analysis; Signal design; Signal synthesis; Spectral analysis; Time frequency analysis;
Conference_Titel :
Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-6514-3
DOI :
10.1109/ACSSC.2000.911000
