Title :
Time series Clustering and Analysis of ECG heart-beats using Dynamic Time Warping
Author :
Annam, Jagadeeswara Rao ; Mittapalli, Sai Sudheer ; Bapi, R.S.
Author_Institution :
DCIS, Univ. of Hyderabad, Hyderabad, India
Abstract :
A novel Time series Clustering and Analysis Method for ECG (Electro Cardiogram) heart-beat Analysis is proposed using K-medoids Clustering with Dynamic Time Warping (DTW) distance. The main objective of this paper is to identify the abnormalities in ECG heart beats through Clustering and Validation by using QRS complexes of ECG heart-beats. The ECG data obtained from MIT-BIH Arrhythmia Database, is used for experimentation. The 5 types of classes in ECG heart beats, used in this study are Normal (N), Left bundle branch blocks (LBBB), Right bundle branch blocks (RBBB), Premature ventricular contraction (PVC), Atrial premature contraction (APC).
Keywords :
electrocardiography; medical signal processing; pattern clustering; time series; ECG heart-beats; MIT-BIH arrhythmia database; QRS complexes; atrial premature contraction; dynamic time warping; k-medoids clustering; left bundle branch blocks; premature ventricular contraction; right bundle branch blocks; time series clustering; Biomedical measurements; Data models; Electrocardiography; Feature extraction; Heart beat; Heuristic algorithms; Time series analysis; DTW; ECG; Heart-beat; QRS; Time Series Clustering; k-medoid;
Conference_Titel :
India Conference (INDICON), 2011 Annual IEEE
Conference_Location :
Hyderabad
Print_ISBN :
978-1-4577-1110-7
DOI :
10.1109/INDCON.2011.6139394
