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Titolo:
WAVELETS - A NEW TOOL IN SLEEP BIOSIGNAL ANALYSIS
Autore:
JOBERT M; TISMER C; POISEAU E; SCHULZ H;
Indirizzi:
AFB PAREXEL,INDEPENDENT PHARMACEUT RES ORG BERLIN GERMANY UNIV TECHNOL COMPIEGNE,URA 817 F-60206 COMPIEGNE FRANCE
Titolo Testata:
Journal of sleep research
fascicolo: 4, volume: 3, anno: 1994,
pagine: 223 - 232
SICI:
0962-1105(1994)3:4<223:W-ANTI>2.0.ZU;2-Q
Fonte:
ISI
Lingua:
ENG
Soggetto:
ECG ANALYSIS; TRANSFORM; DECOMPOSITION;
Keywords:
BIOSIGNAL PROCESSING; MULTISCALE ANALYSIS; PATTERN RECOGNITION; SLEEP EEG; WAVELETS;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Science Citation Index Expanded
Citazioni:
25
Recensione:
Indirizzi per estratti:
Citazione:
M. Jobert et al., "WAVELETS - A NEW TOOL IN SLEEP BIOSIGNAL ANALYSIS", Journal of sleep research, 3(4), 1994, pp. 223-232

Abstract

The wavelet transform is a relatively new approach to data processingwhich has been applied in different areas such as signal, speech and image processing. In the last decade, many papers have been published on wavelet theory and its applications. The wavelet transform providesan elegant alternative to the classical Fourier or Gabor transforms unifying numerous signal processing techniques in a common framework. The purpose of the present paper is to provide an overview of the applicability of the wavelet transform to EEG signal analysis. In the firstpart of the paper the mathematical background is summarized. In the second part, applications to the sleep EEG field are presented and discussed. The results of these illustrations demonstrate the usefulness of the wavelet transform to solve various problems including signal parametrization, pattern recognition and biosignal representation.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 05/07/20 alle ore 21:58:02