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Volumn 26, Issue 3, 2002, Pages 241-247

Comparison of wavelet transform and FFT methods in the analysis of EEG signals

Author keywords

EEG; FFT; Wavelet

Indexed keywords

ANALYTIC METHOD; ARTICLE; BRAIN DISEASE; DIAGNOSTIC VALUE; ELECTROENCEPHALOGRAM; FOURIER TRANSFORMATION; INTERMETHOD COMPARISON; SIGNAL PROCESSING; SPECTROSCOPY; STATISTICAL ANALYSIS; WAVELET TRANSFORM; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; ELECTROENCEPHALOGRAPHY; FOURIER ANALYSIS; HUMAN; PATHOPHYSIOLOGY; SENSITIVITY AND SPECIFICITY; STATISTICS;

EID: 0036618179     PISSN: 01485598     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1015075101937     Document Type: Article
Times cited : (257)

References (10)
  • 4
    • 0033794194 scopus 로고    scopus 로고
    • Application of periodogram and AR spectral analysis to EEG signals
    • Akin, M., Kiymik, M. K., Application of periodogram and AR spectral analysis to EEG signals. J. Med. Syst. 24(4), 2000.
    • (2000) J. Med. Syst. , vol.24 , Issue.4
    • Akin, M.1    Kiymik, M.K.2
  • 8
    • 0031141135 scopus 로고    scopus 로고
    • Classification of EEG signals using the wavelet transform
    • May
    • Hazarika, N., Classification of EEG signals using the wavelet transform. Signal Processing 59(1):61, May 1997.
    • (1997) Signal Processing , vol.59 , Issue.1 , pp. 61
    • Hazarika, N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.