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Volumn , Issue , 2012, Pages 3151-3154

Robust artefact detection in long-term ECG recordings based on autocorrelation function similarity and percentile analysis

Author keywords

[No Author keywords available]

Indexed keywords

ARTEFACT DETECTION; AUTOCORRELATION FUNCTIONS; ECG RECORDING; ELECTROCARDIOGRAM SIGNAL; REAL-LIFE PROBLEMS; SLEEP APNEA;

EID: 84883039022     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2012.6346633     Document Type: Conference Paper
Times cited : (28)

References (19)
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    • Piotrowskia, Z.1    Rózanowski, K.2
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    • Detecting ventricular fibrillation using efficient techniques for computing a Normalized autocorrelation
    • R. D. Throne, Detecting ventricular fibrillation using efficient techniques for computing a normalized autocorrelation. Computers in Biology and Medicine, vol. 23, pp. 317-325, 1993.
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    • Throne, R.D.1
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    • Steps toward subject-specific classification in ECG-based detection of sleep apnea
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    • (2011) Physiological Measurement , vol.32 , pp. 1807-1819
    • Maier, C.1    Wenz, H.2    Dickhaus, H.3
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    • Krishnan, R.1    Natarajan, B.2    Warren, S.3
  • 18
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    • Multiway spectral clustering with out-of-sample extensions through weighted kernel PCA
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.