NDLI: Diagnosing mitral and tricuspid stenosis with the help of artificial neural networks built on the fast Fourier transformation sonogram

Content Provider	IEEE Xplore Digital Library
Author	Kara, S. Guven, A. Okandan, M.
Copyright Year	2003
Description	Author affiliation: Electron. Eng. Dept., Erciyes Univ., Kayseri, Turkey (Kara, S.)
Abstract	Mitral and tricuspid stenoses are currently diagnosed through the use of Doppler Sonograms. However, the final accurate diagnosis depends on the physicians' interpretation and experience and this sometimes results in false diagnosis. In this study, we have facilitated artificial neural networks (ANN) that will not only simplify the diagnosis but also enable the physician to make a quicker judgment about the presence of stenosis, in confidence. The ratios of the three points (First Systolic Peak, Endpoint of Diastole, Second Systolic Peak) in the M like curve of the sonogram are used as inputs to our ANN. We have chosen Levenberg-Marquart training algorithms to train the multi layer perceptron (MLP) structure of ANN, since the least mean square error of 8/spl times/10/sup -5/ and shortest convergence time of 1 sec were achieved through this method after comparing eight different algorithms. Our system is tested on 14 patients. Four of the six tricuspid patients' and six of the eight mitral patients' data are allocated for training purposes and the remaining two tricuspid and two mitral patients were tested. The testing results were found to be compliant with physicians' findings regarding the presence of stenosis.
Starting Page	340
Ending Page	343
File Size	387837
Page Count	4
File Format	PDF
ISBN	0780375793
DOI	10.1109/CNE.2003.1196830
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-03-20
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Doppler shift Sonogram Artificial neural networks Mean square error methods Electrocardiography Frequency Signal analysis Heart valves Testing Blood flow
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
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in