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

@article{Hu1997APE,
  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},
  year={1997},
  volume={44},
  pages={891-900}
}
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
Highly Influential
This paper has highly influenced 34 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 1,346 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 232 extracted citations

Block-Based Neural Networks for Personalized ECG Signal Classification

IEEE Transactions on Neural Networks • 2007
View 5 Excerpts
Highly Influenced

A Patient-Adapting Heartbeat Classifier Using ECG Morphology and Heartbeat Interval Features

IEEE Transactions on Biomedical Engineering • 2006
View 8 Excerpts
Highly Influenced

1,346 Citations

050100150'00'04'09'14'19
Citations per Year
Semantic Scholar estimates that this publication has 1,346 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 30 references

AAMI-recommended practice: Testing and reporting performance results of ventricular arrhythmia detection algorithms

R. Mark, R. Wallen
Association for the Advancement of Medical Instrumentation, Arrhythmia Monitoring Subcommittee, Tech. Rep. AAMI ECAR-1987. • 1987
View 3 Excerpts
Highly Influenced

Self-Organization and Associative Memory

T. Kohonen
Berlin: Springer-Verlag, • 1984
View 3 Excerpts
Highly Influenced

Patient adaptable ECG beat classification using mixture of experts

Y. H. Hu, S. Palreddy, W. J. Tompkins, Eds.
Neural Network for Signal Processing V . Piscataway, NJ: IEEE Press, 1995, pp. 495–463. • 1995
View 2 Excerpts

plications of artificial neural networks for ECG signal detection and classification

W. J. Tompkins, J. L. Urrusti, V. X. Alfonso
1994

Similar Papers

Loading similar papers…