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Volumn , Issue , 2007, Pages

Adaptive segmentation using wavelet transform

Author keywords

[No Author keywords available]

Indexed keywords

WAVELET TRANSFORMS;

EID: 51749090908     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICEE.2007.4287348     Document Type: Conference Paper
Times cited : (29)

References (8)
  • 1
    • 85121937424 scopus 로고    scopus 로고
    • Hassanpour, Mesbah and and B. Boashash, Time-frequency based newborn EEG seizure detection using low and high frequency signatures, Physiological Measurement. 25, pp. 935-944, 2004.
    • Hassanpour, Mesbah and and B. Boashash, "Time-frequency based newborn EEG seizure detection using low and high frequency signatures", Physiological Measurement. vol. 25, pp. 935-944, 2004.
  • 2
    • 14544267776 scopus 로고    scopus 로고
    • Mesbah and and B. Boashash, "Time-Frequency Feature Extraction of Newborn EEG Seizure Using SVD-Based Techniques
    • H. Hassanpour, Mesbah and and B. Boashash, "Time-Frequency Feature Extraction of Newborn EEG Seizure Using SVD-Based Techniques", EURASIP Journal on Applied Signal Processing, no. 16, pp. 2544-2554, 2004.
    • (2004) EURASIP Journal on Applied Signal Processing , Issue.16 , pp. 2544-2554
    • Hassanpour, H.1
  • 3
    • 0017490015 scopus 로고
    • Feature extraction from the electroencephalogram by adaptive segmentation
    • Bodenstein G, Praetorius HM. Feature extraction from the electroencephalogram by adaptive segmentation. Proc IEEE, vol. 65, no. 5, pp. 642- 52, 1977.
    • (1977) Proc IEEE , vol.65 , Issue.5 , pp. 642-652
    • Bodenstein, G.1    Praetorius, H.M.2
  • 4
    • 0032655922 scopus 로고    scopus 로고
    • Adaptive Segmenation of Electroencephalographic Data Using a Nonlinear Energy Operator
    • R. Agarwal' and J. Gotman, "Adaptive Segmenation of Electroencephalographic Data Using a Nonlinear Energy Operator", IEEE Trans Biomed Eng, vol. 4, pp.199-202, 1999.
    • (1999) IEEE Trans Biomed Eng , vol.4 , pp. 199-202
    • Agarwal', R.1    Gotman, J.2
  • 6
    • 0025886792 scopus 로고
    • Automatic identification of significant graphoelements in multichannel EEG recording by adaptive segmentation and fuzzy clustering
    • V. Krajca et al., "Automatic identification of significant graphoelements in multichannel EEG recording by adaptive segmentation and fuzzy clustering," Int. J. Biomed. Comput., vol. 28, pp. 71-89, 1991.
    • (1991) Int. J. Biomed. Comput , vol.28 , pp. 71-89
    • Krajca, V.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.