Presentation 1998/3/20
The analyzing method of Body Surface Potential Map using Neural Networks
Tomohito Yamamoto, Sumio Watanabe, Shigeo Ohtuki,
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Abstract(in English) The electrocardiogram is important for heart disease diagnosis. Especially Body Surface Potential Map (BSPM) is more effective than other electrocardiograms in detecting disease, because it can extract spatial information. But it needs many electrodes and complex information processing, resulting that efficient analyzing method hasn't been established. In this paper we propose a new analyzing method of BSPM using neural networks and show its effectiveness. Experimental results show that out method is superior to principal component analysis in data compression and feature extraction. And more it is possible to almost reconstruct BSPM from a few data by using a neural network which is well learned.
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Keyword(in English) body surface potential map / neural networks / principal component analysis / data compression
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Committee NC
Conference Date 1998/3/20(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) The analyzing method of Body Surface Potential Map using Neural Networks
Sub Title (in English)
Keyword(1) body surface potential map
Keyword(2) neural networks
Keyword(3) principal component analysis
Keyword(4) data compression
1st Author's Name Tomohito Yamamoto
1st Author's Affiliation Precision and Intelligence Laboratory Tokyo Institute of Technology()
2nd Author's Name Sumio Watanabe
2nd Author's Affiliation Precision and Intelligence Laboratory Tokyo Institute of Technology
3rd Author's Name Shigeo Ohtuki
3rd Author's Affiliation Precision and Intelligence Laboratory Tokyo Institute of Technology
Date 1998/3/20
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Volume (vol) vol.97
Number (no) 624
Page pp.pp.-
#Pages 8
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