Study of Continuous Wavelet Transform used in ECG Pre-diagnostic

被引：0
作者：
Ciupe, Adriana Maria [1 ]
Ciupa, Radu Vasile [1 ]
Roman, Alexandrina Ioana [2 ]
Roman, Nicolae Marius [1 ]
机构：
[1] Tech Univ Cluj Napoca, ETHM Dept, Fac Elect Engn, Cluj Napoca, Romania
[2] Octavian Fodor Reg Inst Gastroenterol & Hepatol, Cluj Napoca, Romania
来源：
2015 E-HEALTH AND BIOENGINEERING CONFERENCE (EHB) | 2015年
关键词：
ECG; CWT; pathologies; wavelets;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The aim of this paper is to use the Continuous Wavelet Transform (CWT) in order to diagnose the pathology that appears in the ECG analysis. The signals used are based on real ECG recordings. The Continuous Wavelet Transform allows a signal represented in the time domain to be represented in time-frequency domain. In this study we used a Normal ECG, an ECG with bradycardia, ECG with tachycardia and an Irregular ECG. CWT used for the analysis are the Daubechies 2, Haar, Morlet and Mexican Hat.
引用
收藏
页数：4
相关论文
共 50 条
  • [1] Automatic detection of ECG ventricular activity waves using continuous spline wavelet transform
    Alvarado, C
    Arregui, JS
    Ramos, J
    Pallàs-Areny, R
    2005 2nd International Conference on Electrical & Electronics Engineering (ICEEE), 2005, : 189 - 192
  • [2] A complete ECG signal delineation method based on Wavelet Transform
    Londhe, Narendra D.
    Gupta, Sourabh
    Dewangan, Dewesh
    INTERNATIONAL JOURNAL OF BIOMEDICAL ENGINEERING AND TECHNOLOGY, 2012, 9 (02) : 147 - 162
  • [3] Adaptive Wavelet-transform-based ECG waveforms detection
    Szilágyi, SM
    Benyó, Z
    Szilágyi, L
    Dávid, L
    PROCEEDINGS OF THE 25TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4: A NEW BEGINNING FOR HUMAN HEALTH, 2003, 25 : 2412 - 2415
  • [4] ECG Classification Using Wavelet Transform and Wavelet Network Classifier
    Patil, Dinesh D.
    Singh, R. P.
    ARTIFICIAL INTELLIGENCE AND EVOLUTIONARY COMPUTATIONS IN ENGINEERING SYSTEMS, ICAIECES 2017, 2018, 668 : 289 - 303
  • [5] Study of ECG Feature Extraction for Automatic Classification Based on Wavelet Transform
    Ge Dingfei
    PROCEEDINGS OF 2012 7TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION, VOLS I-VI, 2012, : 500 - 503
  • [6] Lossless ECG compression with lifting wavelet transform
    Duda, K
    Turcza, P
    Zielinski, TP
    IMTC/2001: PROCEEDINGS OF THE 18TH IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE, VOLS 1-3: REDISCOVERING MEASUREMENT IN THE AGE OF INFORMATICS, 2001, : 640 - 644
  • [7] ECG signal denoising using Wavelet transform
    Sridevi, M.
    Madhavsarma, P.
    RESEARCH JOURNAL OF PHARMACEUTICAL BIOLOGICAL AND CHEMICAL SCIENCES, 2018, 9 (01): : 217 - 225
  • [8] ECG delineation using stationary wavelet transform
    Shivappriya, S. N.
    ShanthaSelvaKumari, R.
    GowriShankar, T.
    2006 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING AND COMMUNICATIONS, VOLS 1 AND 2, 2007, : 264 - +
  • [9] ECG Steganography using Integer Wavelet Transform
    PremChandran, Kavya
    Krishnakumar, K. P.
    2015 INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND INFORMATICS (ICCCI), 2015,
  • [10] Elements of signal ECG evaluations with wavelet transform
    Cepisca, Costin
    Banica, Cosmin
    Ganatsios, Stergios
    Ganatsios, Stergios
    Andrei, Horia
    Seritan, George Calin
    PROCEEDINGS OF THE 7TH WSEAS INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMPUTATIONAL GEOMETRY AND ARTIFICIAL VISION (ISCGAV'-07), 2007, : 240 - +
12345