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Volumn 36, Issue , 2009, Pages 561-564

Analysis of multidomain features for ECG classification

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION PERFORMANCE; CLASSIFIER MODELS; CROSS VALIDATION; DIFFERENT SCALE; FLOATING FEATURE SELECTION; MULTI DOMAINS; PATIENT-ORIENTED; POSITIVE PREDICTIVE VALUES; RESULTS PRESENTATION; STATE-OF-THE-ART METHODS; TEST SETS; TRAINING AND TESTING; TRAINING SETS;

EID: 77952696573     PISSN: 02766574     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (36)

References (10)
  • 1
    • 77952725891 scopus 로고    scopus 로고
    • 150 Practice ECGs: Interpretation and Review
    • ISBN 0-632-04623-6
    • Taylor GJ. 150 Practice ECGs: Interpretation and Review. Blackwell Science, 2002. ISBN 0-632-04623-6.
    • (2002) Blackwell Science
    • Taylor, G.J.1
  • 4
    • 2942709662 scopus 로고    scopus 로고
    • Automatic classification of heartbeats using ecg morphology and heartbeat interval features
    • de Chazal P, O'Dwyer M, Reilly RB. Automatic classification of heartbeats using ecg morphology and heartbeat interval features. IEEE Transactions on Biomedical Engineering 2004;51:1196-1206.
    • (2004) IEEE Transactions on Biomedical Engineering , vol.51 , pp. 1196-1206
    • De Chazal, P.1    O'Dwyer, M.2    Reilly, R.B.3
  • 8
    • 27344444890 scopus 로고    scopus 로고
    • Directional features in online handwriting recognition
    • ISSN 0031-3203
    • Bahlmann C. Directional features in online handwriting recognition. Pattern Recognition 2006;39(1):115-125. ISSN 0031-3203.
    • (2006) Pattern Recognition , vol.39 , Issue.1 , pp. 115-125
    • Bahlmann, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.