Title :
A novel, batch modular learning approach for ECG beat classification
Author :
Mani, Vijay P. ; Hu, Yu Hen ; Palreddy, Surekha
Author_Institution :
Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
Abstract :
We investigate a modular architecture for ECG beat classification. The feature space is divided into distinct regions and individual classifiers are developed for each region. We compare different combination strategies, and feature space partition strategies. We also describe a novel, batch modular learning method that can be used to incrementally improve the performance of the modular network
Keywords :
electrocardiography; feature extraction; learning (artificial intelligence); medical signal processing; parallel architectures; pattern classification; vector quantisation; ECG beat classification; LVQ; batch modular learning; batch modular learning method; classifiers; clustering based approach; feature space partition; fuzzy combination strategies; learning vector quantization; modular architecture; modular network performance; premature ventricular contraction; random based approach; Artificial neural networks; Computer architecture; Drives; Electrocardiography; Heart rate variability; Machine learning; Morphology; Parallel processing; Rhythm; Terminology;
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4428-6
DOI :
10.1109/ICASSP.1998.675459
