شماره ركورد كنفرانس :
3926
عنوان مقاله :
Heart Blocks Detection in ECG Signals Using Time Frequency Distribution Techniques
پديدآورندگان :
Azarnia Ghanbar g.azarnia@tabrizu.ac.ir Faculty of Electrical and Computer Engineering University of Tabriz Tabriz, Iran , Tinati Mohammad Ali tinati@tabrizu.ac.ir Faculty of Electrical and Computer Engineering University of Tabriz Tabriz, Iran , Ghorbani Afkhami Rashid r.ghorbani91@ms.tabrizu.ac.ir Faculty of Electrical and Computer Engineering University of Tabriz Tabriz, Iran
كليدواژه :
electrocardiogram signal , heart blocks , timefrequency distribution , time , frequency resolution , Choi , Williams distribution
عنوان كنفرانس :
بيست و چهارمين كنفرانس مهندسي برق ايران
چكيده فارسي :
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.