Presentation | 1994/12/16 Differential diagnosis of myocardial infarction between automatic ECG diagnosis system and neural network system Kenji Shimizu, Koji Oguri, Akira Iwata, Kazunobu Yamauchi, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Recent automatic ECG diagnose systems have high performance.But these systems are apt to give the desease decission even for suspricious case.For these overestimated cases for example 'poor R wave progress or QS V1,2 wave',a neural network method is applied to cleassify whether those are really desease case or not.A back propagation neural network was designed to classify between myocardial infarction or not.Diagnostic accuracy is 96.21% under this neural network system using leave one out method.Thus an automatic ECG diagnose system using artificial neural network can classify high specificity and sensitivity. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | neural network / automatic diagnosis of ECG / myocardial infarction |
Paper # | MBE94-96 |
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Conference Information | |
Committee | MBE |
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Conference Date | 1994/12/16(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | ME and Bio Cybernetics (MBE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Differential diagnosis of myocardial infarction between automatic ECG diagnosis system and neural network system |
Sub Title (in English) | |
Keyword(1) | neural network |
Keyword(2) | automatic diagnosis of ECG |
Keyword(3) | myocardial infarction |
1st Author's Name | Kenji Shimizu |
1st Author's Affiliation | Nagoya Institute of Technology() |
2nd Author's Name | Koji Oguri |
2nd Author's Affiliation | Aichi Pref.University |
3rd Author's Name | Akira Iwata |
3rd Author's Affiliation | Nagoya Institute of Technology |
4th Author's Name | Kazunobu Yamauchi |
4th Author's Affiliation | Nagoya University School of Med. |
Date | 1994/12/16 |
Paper # | MBE94-96 |
Volume (vol) | vol.94 |
Number (no) | 416 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |