NDLI: Training a NN with ECG to diagnose the hypertrophic portions of HCM

Content Provider	IEEE Xplore Digital Library
Author	Ouyang, N. Yamauchi, K. Ikeda, M.
Copyright Year	1998
Description	Author affiliation: Dept. of Med. Inf. & Med. Records, Nagoya Univ. Hosp., Japan (Ouyang, N.)
Abstract	In this study the authors try to construct a neural network trained with electrocardiogram (ECG) information to diagnose the hypertrophic portions of hypertrophic cardiomyopathy (HCM). Computer electrocardiography remains a fundamental diagnostic method for both contour and rhythm analysis. In almost all patients with HCM, there are more or less abnormal ECG findings, but it is very difficult to diagnose the hypertrophic portions of HCM relying solely on ECG findings, even for an experienced cardiologist. The data used in this study are from seventy-nine patients with HCM. Their ECGs were used to test and train a neural network, and the criteria of teaching data depended on the results of echocardiography. This study was completed using the Neural Works Professional II/PLUS of Neural Ware Inc., on a personal computer. A three-layer neural network trained by back-propagation algorithm showed better ability for diagnosing the hypertrophic portions of HCM depending only on ECG information.
Starting Page	306
Ending Page	309
File Size	395648
Page Count	4
File Format	PDF
ISBN	0780348591
ISSN	10987576
DOI	10.1109/IJCNN.1998.682282
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-05-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Electrocardiography Echocardiography Cardiology Medical diagnostic imaging Testing Hospitals Rhythm Education Electronic mail
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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