title: A statistical approach for determination of time plane features from digitized ECG.
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%.
authors: Department of Electronics and Communication Engineering, Camellia Institute of Technology, Kolkata 700129, Calcutta, India.
authors: H K
authors: HK
authors: Chatterjee
authors: R
authors: R
authors: Gupta
authors: M
authors: M
authors: Mitra
mesh_terms: D000465:Algorithms; D001145:Arrhythmias, Cardiac / Q000175:diagnosis / Q000503:physiopathology; D001699:Biometry / Q000379:methods; D019295:Computational Biology / Q000379:methods*; D003201:Computers; D004562:Electrocardiography / Q000295:instrumentation / Q000379:methods*; D005189:False Positive Reactions; D006801:Humans; D015233:Models, Statistical; D008991:Monitoring, Physiologic / Q000379:methods; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D012984:Software; D013997:Time Factors