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

  title={A patient-adaptable ECG beat classifier using a mixture of experts approach},
  author={Yu Hen Hu and Surekha Palreddy and W R Tompkins},
  journal={IEEE Transactions on Biomedical Engineering},
Presents a "mixture-of-experts" (MOE) approach to develop customized electrocardiogram (EGG) 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, the authors… CONTINUE READING
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