Study of echocardiogram for myocardial infarction using neural networks

Cheng Yi, E. Micheli-Tzanakou, D. M. Shindler, J. B. Kostis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Ultrasonic myocardial echocardiogram is a promising approach to diagnosing myocardial infarction. We digitize echocardiographic images to study ultrasound backscatter for scar tissue detection. Neural network analysis is a successful approach to scar detection. We improve the structure of multi-layer perception combined with the feedback optimization algorithm ALOPEX to make it more general and we also introduce the noisy training method.

Original languageEnglish (US)
Title of host publicationProceedings of the Annual Conference on Engineering in Medicine and Biology
PublisherPubl by IEEE
Pages255-256
Number of pages2
Editionpt 1
ISBN (Print)0780313771
StatePublished - 1993
EventProceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - San Diego, CA, USA
Duration: Oct 28 1993Oct 31 1993

Publication series

NameProceedings of the Annual Conference on Engineering in Medicine and Biology
Numberpt 1
Volume15
ISSN (Print)0589-1019

Other

OtherProceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CitySan Diego, CA, USA
Period10/28/9310/31/93

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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