Heart Blocks Detection in ECG Signals Using Time Frequency Distribution Techniques

被引:0
|
作者
Azarnia, Ghanbar [1 ]
Tinati, Mohammad Ali [1 ]
Afkhami, Rashid Ghorbani [1 ]
机构
[1] Univ Tabriz, Fac Elect & Comp Engn, Tabriz, Iran
关键词
electrocardiogram signal; heart blocks; time-frequency distribution; time-frequency resolution; Choi-Williams distribution;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The electrical conduction system of the heart has an elaborate structure. A small failure in this system can put the person's life in danger. In people with heart block disease the electrical signal that controls the heartbeat is partially or completely blocked from reaching the ventricles. Electrocardiograms are used in detection of heart blocks and thus in this paper we have used it for the assessment of heart block cases. In this paper we propose a noninvasive diagnostic method based on the Choi Williams distribution to differentiate between normal and heart block subjects. The proposed procedure in addition to detection of heart blocks provides additional information for better characterization of ECG parameters for heart block subjects. Simulation results show superior performance of our proposed algorithm with respect to the others.
引用
收藏
页码:1568 / 1573
页数:6
相关论文
共 50 条
  • [41] Heart Sound Analysis Using MFCC and Time Frequency Distribution
    Kamarulafizam, I.
    Salleh, Sh-Hussain
    Najeb, J. M.
    Ariff, A. K.
    Chowdhury, A.
    WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING 2006, VOL 14, PTS 1-6, 2007, 14 : 946 - 949
  • [42] Classification of ECG signals using Machine Learning Techniques: A Survey
    Jambukia, Shweta H.
    Dabhi, Vipul K.
    Prajapati, Harshadkumar B.
    2015 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER ENGINEERING AND APPLICATIONS (ICACEA), 2015, : 714 - 721
  • [43] Analysis of Some EMG Signals Using Multiresolution and Time-Frequency Techniques
    Matei, Radu
    Matei, Daniela
    2020 INTERNATIONAL CONFERENCE ON E-HEALTH AND BIOENGINEERING (EHB), 2020,
  • [44] Person Specific Characteristic Analysis Time domain Techniques for ECG Signals
    Rudresh, M. D.
    Jayanna, H. S.
    Sheela, Anitha K.
    2016 IEEE INTERNATIONAL CONFERENCE ON RECENT TRENDS IN ELECTRONICS, INFORMATION & COMMUNICATION TECHNOLOGY (RTEICT), 2016, : 441 - 446
  • [45] Polyphase coded low probability of intercept signals detection and estimation using time-frequency rate distribution
    Jiang, Li
    Li, Lin
    Zhao, Guo-qing
    IET SIGNAL PROCESSING, 2016, 10 (01) : 46 - 54
  • [46] CHATTER DETECTION IN VIBRATION SIGNALS USING TIME- FREQUENCY ANALYSIS
    Matthew, Dialoke Ejiofor
    Shi, Jianghai
    Hou, Maxiao
    Cao, Hongrui
    MM SCIENCE JOURNAL, 2023, 2023 : 6830 - 6837
  • [47] Fuzzification of the Analysis of Heart Rate Variability Using ECG in Time, Frequency and Statistical Domains
    Sadiq, Ismail
    Khan, Shoab Ahmad
    2010 SECOND INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING AND APPLICATIONS: ICCEA 2010, PROCEEDINGS, VOL 1, 2010, : 481 - 485
  • [48] Detection of ultrasonic NDE signals using time-frequency analysis
    Qidwai, U
    Costa, AH
    Chen, CH
    INSIGHT, 1999, 41 (11) : 700 - 703
  • [49] Direct data compression techniques for ECG signals: Effect of sampling frequency on performance
    Kulkarni, PK
    Kumar, V
    Verma, HK
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 1997, 28 (03) : 217 - 228
  • [50] Diversity and channel estimation using time-varying signals and time-frequency techniques
    Shen, Hao
    Papandreou-Suppappola, Antonia
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2006, 54 (09) : 3400 - 3413