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Volumn 22, Issue 6, 2014, Pages 389-392

Real time processing and transferring ECG signal by a mobile phone

Author keywords

ECG signal; Hilbert transform; IIR filter; M_health; TCP IP protocol

Indexed keywords

ALGORITHM; ARTICLE; ELECTROCARDIOGRAM; HEART ARRHYTHMIA; HEART BEAT; HUMAN; MOBILE PHONE; NOISE REDUCTION; PHYSICIAN; QRS COMPLEX; SIGNAL NOISE RATIO; SIGNAL PROCESSING;

EID: 84923639513     PISSN: 03538109     EISSN: 19865988     Source Type: Journal    
DOI: 10.5455/aim.2014.22.389-392     Document Type: Article
Times cited : (17)

References (18)
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    • Singh BN, Tiwari AK. Optimal selection of wavelet basis function applied to ECG signal denoising. Digital Signal Processing. 2006;16(3):275-87.
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    • Singh, B.N.1    Tiwari, A.K.2
  • 2
    • 84923545390 scopus 로고    scopus 로고
    • http://www.who.int/mediacentre/factsheets/fs317
  • 3
    • 13444282256 scopus 로고    scopus 로고
    • Real-time ECG signal transmission via telephone network
    • Engin M, Çaglav E, Engin EZ. Real-time ECG signal transmission via telephone network. Measurment. 2005;37(2):167-71.
    • (2005) Measurment. , vol.37 , Issue.2 , pp. 167-171
    • Engin, M.1    Çaglav, E.2    Engin, E.Z.3
  • 5
    • 84923626011 scopus 로고    scopus 로고
    • MIT-BIH ECG database,
  • 6
    • 57849122509 scopus 로고    scopus 로고
    • Filtering electrocardiographic signals using an unbiased and normalized adaptive noise reduction system
    • Wu Y, Rangayyan RM, Zhou Y, Ng S-C. Filtering electrocardiographic signals using an unbiased and normalized adaptive noise reduction system. Medical Engineering and Physics. 2009;31(1):17-26.
    • (2009) Medical Engineering and Physics. , vol.31 , Issue.1 , pp. 17-26
    • Wu, Y.1    Rangayyan, R.M.2    Zhou, Y.3    Ng, S.-C.4
  • 10
    • 84871388672 scopus 로고    scopus 로고
    • An Efficient Technique for Compressing ECG Signals Using QRS Detection, Estimation, and 2D DWT Coefficients Threshold
    • Mohammed Abo-Zahhad, Sabah M. Ahmed, and Ahmed Zakaria, "An Efficient Technique for Compressing ECG Signals Using QRS Detection, Estimation, and 2D DWT Coefficients Threshold," Modelling and Simulation in Engineering, vol. 2012.
    • (2012) Modelling and Simulation in Engineering
    • Abo-Zahhad, M.1    Ahmed, S.M.2    Zakaria, A.3
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    • A new QRS Detection Method Using Wavelets and Artificial Neural Networks
    • Abidullaev B, Seo HD. A new QRS Detection Method Using Wavelets and Artificial Neural Networks. Journal of Medical Systems. 2011;35(4):683-91.
    • (2011) Journal of Medical Systems. , vol.35 , Issue.4 , pp. 683-691
    • Abidullaev, B.1    Seo, H.D.2
  • 17
    • 84897006836 scopus 로고    scopus 로고
    • Revisiting QRS Detection Methodologies for Portable, Wearable, Battery-Operated, and Wireless ECGystems
    • Elgendi M, Eskofier B, Dokos S, Abbott D. Revisiting QRS Detection Methodologies for Portable, Wearable, Battery-Operated, and Wireless ECGystems. PLOS One. 2014;9(1):1-18.
    • (2014) PLOS One. , vol.9 , Issue.1 , pp. 1-18
    • Elgendi, M.1    Eskofier, B.2    Dokos, S.3    Abbott, D.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.