A statistical approach for determination of time plane features from digitized ECG

Authors:
H. K. Chatterjee;R. Gupta;M. Mitra
Affiliations:
Department of Electronics and Communication Engineering, Camellia Institute of Technology, Kolkata 700129, Calcutta, India;Department of Applied Physics, University of Calcutta, 92, APC Road, Kolkata 700009, Calcutta, India;Department of Applied Physics, University of Calcutta, 92, APC Road, Kolkata 700009, Calcutta, India
Venue:
Computers in Biology and Medicine
Year:
2011

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Abstract

This paper illustrates a method for time-plane feature extraction from digitized ECG sample using statistical approach. The algorithm detects the position and magnitude of the QRS complex, P and T wave for a single lead ECG dataset. The processing is broadly based on relative comparison of magnitude and slopes of ECG samples. Then the baseline modulation in the dataset is removed. The R-peak detection and baseline modulation is tested MIT-BIH arrhythmia database as well as 12-lead datasets in MIT-PTB database (PTBDB) and available under Physionet. The overall accuracy obtained is more than 99%.