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Volumn 38, Issue , 2011, Pages 801-804

An implementation of a real-time and parallel processing ECG features extraction algorithm in a Field Programmable Gate Array (FPGA)

Author keywords

[No Author keywords available]

Indexed keywords

ECG SIGNALS; ELECTROCARDIOGRAM SIGNAL; FEATURES EXTRACTION; PARALLEL PROCESSING; PERFORMANCE OF ALGORITHM; SYSTEM ON CHIP DESIGN; VALIDATED RESULTS;

EID: 84859968733     PISSN: 23258861     EISSN: 2325887X     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (12)
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    • Shyu, L.-Y.1    Hu, W.2
  • 2
    • 13144284940 scopus 로고    scopus 로고
    • Real time electrocardiogram QRS detection using combined adaptive threshold
    • Christov, I. Real time electrocardiogram QRS detection using combined adaptive threshold. BioMedical Engineering OnLine 2004;3:28.
    • (2004) BioMedical Engineering OnLine , vol.3 , pp. 28
    • Christov, I.1
  • 3
    • 77950188740 scopus 로고    scopus 로고
    • Development of ECG beat segmentation method by combining lowpass filter and irregular R-R interval checkup strategy
    • Samjin C. Development of ECG beat segmentation method by combining lowpass filter and irregular R-R interval checkup strategy. Expert Systems with Applications 2010;37:5208-5218.
    • (2010) Expert Systems with Applications , vol.37 , pp. 5208-5218
    • Samjin, C.1
  • 4
    • 16244422622 scopus 로고    scopus 로고
    • An arrhythmia classification system based on the RR-interval signal
    • DOI 10.1016/j.artmed.2004.03.007
    • Tsipouras MG, Fotiadis DI, Sideris D. An arrhythmia classification system based on the RR-interval signal. Artificial Intelligence in Medicine 2005;33:237-250. (Pubitemid 40462458)
    • (2005) Artificial Intelligence in Medicine , vol.33 , Issue.3 , pp. 237-250
    • Tsipouras, M.G.1    Fotiadis, D.I.2    Sideris, D.3
  • 5
    • 32644482767 scopus 로고    scopus 로고
    • A fuzzy clustering neural network architecture for classification of ECG arrhythmias
    • DOI 10.1016/j.compbiomed.2005.01.006, PII S0010482505000417
    • Ozbay Y, Ceylan R, Karlik B. A Fuzzy Clustering Neural Network Architecture for Classification of ECG Arrhythmias. Computers in Biology & Medicine 2006;36:376-388. (Pubitemid 43247768)
    • (2006) Computers in Biology and Medicine , vol.36 , Issue.4 , pp. 376-388
    • Ozbay, Y.1    Ceylan, R.2    Karlik, B.3
  • 8
    • 0031294929 scopus 로고    scopus 로고
    • Development of QRS detection method for real-time ambulatory cardiac monitor
    • thProceedings 1997;1:289-292.
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    • So, H.H.1    Chan, K.L.2
  • 10
    • 2942709662 scopus 로고    scopus 로고
    • Automatic Classification of Heartbeats Using ECG Morphology and Heartbeat Interval Feature
    • Philp C. Automatic Classification of Heartbeats Using ECG Morphology and Heartbeat Interval Feature. IEEE Transactions on Biomedical Engineer 2004;51:1196-1206.
    • (2004) IEEE Transactions on Biomedical Engineer , vol.51 , pp. 1196-1206
    • Philp, C.1
  • 11
    • 3042689579 scopus 로고    scopus 로고
    • Ventricular beat detection in single channel electrocardiograms
    • Dotsinsky I, Stoyanov T. Ventricular beat detection in single channel electrocardiograms. BioMedical Engineering OnLine 2004;3:3.
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  • 12
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    • Electrocardiogram beat classification based on wavelet transformation and probabilistic neural network
    • Yu SN, Chen YH. Electrocardiogram beat classification based on wavelet transformation and probabilistic neural network. Pattern Recognition Letters 2007;28:1142-1150.
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    • Yu, S.N.1    Chen, Y.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.