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Volumn 2005, Issue , 2005, Pages 1302-1305

Wavelet-based segmentation techniques in the detection of microarousals in the sleep EEG

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION METHODS; ELECTROENCEPHALOGRAPHY; ELECTROMYOGRAPHY; MEDICAL IMAGING; SLEEP RESEARCH; WAVELET TRANSFORMS;

EID: 33847133950     PISSN: 15483746     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MWSCAS.2005.1594348     Document Type: Conference Paper
Times cited : (12)

References (11)
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  • 4
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    • Comparison of wavelet transform and FFT methods in the analysis of EEG signals
    • M. Akin, "Comparison of wavelet transform and FFT methods in the analysis of EEG signals", Journal of Medical Systems, vol. 26, no. 3, pp. 241-247, 2002.
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    • Akin, M.1
  • 5
    • 0035035610 scopus 로고    scopus 로고
    • Determination of aorta failure with the application of FFT, AR and wavelet methods to Doppler technique
    • I. Guler, F. Hardalac and S. Muldur, "Determination of aorta failure with the application of FFT, AR and wavelet methods to Doppler technique", Computers in Biology and Medicine, vol. 31, pp. 229-238, 2001.
    • (2001) Computers in Biology and Medicine , vol.31 , pp. 229-238
    • Guler, I.1    Hardalac, F.2    Muldur, S.3
  • 6
    • 0032796009 scopus 로고    scopus 로고
    • Wavelet analysis of neurolectric waveforms: A conceptual Tutorial
    • V.J. Samar, A. Bopardikar, R. Rao and K. Schwartz, "Wavelet analysis of neurolectric waveforms: a conceptual Tutorial", Brain and Language, vol. 66, pp. 7-60, 1999.
    • (1999) Brain and Language , vol.66 , pp. 7-60
    • Samar, V.J.1    Bopardikar, A.2    Rao, R.3    Schwartz, K.4
  • 7
    • 0018373772 scopus 로고
    • Automatic EEG analysis: A segmentation procedure based on the autocorrelation function
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    • (1979) Electroenceph. clin. Neurophysiol , vol.46 , pp. 232-235
    • Michael, D.1    Houchin, J.2
  • 8
    • 33847109485 scopus 로고    scopus 로고
    • E.I. Plotkin and M.N.S. Swamy, Nonlinear signal processing based on parameter invariant moving average modeling, Proc. CCECE '21, Toronto, Canada, pp. TM3.11.1 - TM3.11.4, September, 1992.
    • E.I. Plotkin and M.N.S. Swamy, "Nonlinear signal processing based on parameter invariant moving average modeling", Proc. CCECE '21, Toronto, Canada, pp. TM3.11.1 - TM3.11.4, September, 1992.
  • 10
    • 0020091852 scopus 로고
    • Adaptive sequential segmentation of piecewise stationary time series
    • U. Appel and A.V.Brandt, "Adaptive sequential segmentation of piecewise stationary time series", Information Sciences, vol. 29, pp. 27-56, 1983.
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    • Appel, U.1    Brandt, A.V.2
  • 11
    • 33847165439 scopus 로고    scopus 로고
    • Wavelet-based segmentation techniques in the detection of microarousals in the sleep EEG
    • M.A.Sc. Thesis, Concordia University, April
    • A. Glavinovitch, "Wavelet-based segmentation techniques in the detection of microarousals in the sleep EEG", M.A.Sc. Thesis, Concordia University, April 2004.
    • (2004)
    • Glavinovitch, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.