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. 1997 Sep;44(9):891-900.
doi: 10.1109/10.623058.

A patient-adaptable ECG beat classifier using a mixture of experts approach

Y H Hu  1 , S Palreddy, W J Tompkins
Affiliations

A patient-adaptable ECG beat classifier using a mixture of experts approach

Y H Hu et al. IEEE Trans Biomed Eng. 1997 Sep.

Abstract

We present a "mixture-of-experts" (MOE) approach to develop customized electrocardiogram (ECG) beat classifier in an effort to further improve the performance of ECG processing and to offer individualized health care. A small customized classifier is developed based on brief, patient-specific ECG data. It is then combined with a global classifier, which is tuned to a large ECG database of many patients, to form a MOE classifier structure. Tested with MIT/BIH arrhythmia database, we observe significant performance enhancement using this approach.

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