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Volumn 34, Issue , 2007, Pages 93-96

Denoising cyclostationary framework for enhanced electrocardiogram analysis

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC ANALYSIS; CYCLE LENGTHS; CYCLOSTATIONARY; CYCLOSTATIONARY ANALYSIS; DE-NOISING; DIAGNOSTIC DATABASE; ECG SIGNALS; EFFICIENT ANALYSIS; ELECTROCARDIOGRAM ANALYSIS; ELECTROCARDIOGRAM SIGNALS; GERMANY; HEART BEATS; MULTI CHANNELS; NATIONAL METROLOGY INSTITUTES; NOISE REDUCTIONS; P WAVES; PHYSIOLOGICAL FEATURES; PHYSIONET; PRINCIPAL COMPONENTS; PRIOR KNOWLEDGE; QRS COMPLEXES; REPEATED APPLICATIONS; SEGMENTATION ALGORITHMS; SIGNAL-TO-NOISE RATIOS; SINGLE CHANNELS; STATISTICAL PROPERTIES; T WAVES; TIME DOMAINS; WEB SITES;

EID: 62949084299     PISSN: 02766574     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIC.2007.4745429     Document Type: Conference Paper
Times cited : (4)

References (16)
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  • 4
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  • 5
    • 62949222480 scopus 로고    scopus 로고
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    • Vullings HJLM, Verhaegen MHG, Verbruggen HB. Automated ECG segmentation with dynamic time warping. Proc. 20th Annu. Conf. IEEE EMBS, Hong Kong, 1998; 163-166.
  • 6
    • 0026203883 scopus 로고
    • Applications of adaptive filtering to ECG analysis: Noise cancellation and arrhythmia detection
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    • Thakor, N.V.1    Zhu, Y.S.2
  • 7
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    • Removing artifacts from electrocardiographic signals using independent components analysis
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    • Barros, A.K.1    Mansour, A.2    Ohnishi, N.3
  • 9
    • 34247187094 scopus 로고    scopus 로고
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    • Cyclo period estimation for discrete-time cyclostationary signals
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  • 16
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    • QRS morphology representation and noise estimation using the Karhunen-Loeve transform
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.