DocumentCode :
810662
Title :
Fuzzy wavelet packet based feature extraction method and its application to biomedical signal classification
Author :
Li, Deqiang ; Pedrycz, Witold ; Pizzi, Nicolino J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, Alta., Canada
Volume :
52
Issue :
6
fYear :
2005
fDate :
6/1/2005 12:00:00 AM
Firstpage :
1132
Lastpage :
1139
Abstract :
In this paper, we develop an efficient fuzzy wavelet packet (WP) based feature extraction method for the classification of high-dimensional biomedical data such as magnetic resonance spectra. The key design phases involve: 1) a WP transformation mapping the original signals to many WP feature spaces and finding optimal WP decomposition for signal classification; 2) feature extraction based on the optimal WP decomposition; and 3) signal classification realized by a linear classifier. In contrast to the standard method of feature extraction used in WPs, guided by the criteria of signal compression or signal energy, our method is used to extract discriminatory features from the WP coefficients of the optimal decomposition. The extraction algorithm constructs fuzzy sets of features (via fuzzy clustering) to assess their discriminatory effectiveness. This paper includes a number of numerical experiments using magnetic resonance spectra. Classification results are compared with those obtained from common feature extraction methods in the WP domain.
Keywords :
biomedical NMR; feature extraction; fuzzy set theory; medical signal processing; pattern clustering; signal classification; statistical analysis; wavelet transforms; biomedical signal classification; feature extraction; fuzzy clustering; fuzzy wavelet packet; linear classifier; magnetic resonance spectra; optimal wavelet packet decomposition; signal compression; signal energy; Bioinformatics; Councils; Feature extraction; Fuzzy sets; Magnetic resonance; Pattern analysis; Pattern classification; Time frequency analysis; Wavelet packets; Wavelet transforms; Biomedical data classification; biomedical signals; feature extraction; fuzzy sets; joint best basis; local discriminant bases; wavelet packet; Algorithms; Artificial Intelligence; Biomedical Engineering; Diagnosis, Computer-Assisted; Fuzzy Logic; Humans; Monitoring, Physiologic; Pattern Recognition, Automated; Signal Processing, Computer-Assisted;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2005.848377
Filename :
1431087
Link To Document :
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