NDLI: Classification of ECG using some novel features

Content Provider	IEEE Xplore Digital Library
Author	Sarma, P. Nirmala, S.R. Sarma, K.K.
Copyright Year	2013
Description	Author affiliation: Dept. of Electron. & Commun. Technol., Gauhati Univ., Guwahati, India (Sarma, K.K.) \|\| Dept. of Electron. & Commun. Eng., Gauhati Univ., Guwahati, India (Sarma, P.; Nirmala, S.R.)
Abstract	Heart diseases are frequent reasons of death. Hence, there is always a need to develop systems that can provide prior indication about the state of the heart. This is also required because medical facilities may not be uniform everywhere. In such situation certain innovative approaches using certain signal processing techniques can provide considerable support. As a follow up to such possibilities, system for automatic recognition of cardiac arrhythmias has become necessary and important for diagnosis of cardiac abnormalities. Several algorithms have been proposed to classify cardiac arrhythmias in the literature; however, many of them fail to perform optimally. Here, we have proposed a method for ECG arrhythmia classification using Artificial Neural Network (ANN) and a novel feature set. Fast Fourier Transform is used for pre-processing the ECG recordings. Linear Prediction Coefficients (LPC) and Principal Component Analysis (PCA) are used for extracting some features and then Multi-Layer Perceptron (MLP) ANN performs the classification.
Sponsorship	IEEE Kolkata Sect.
Starting Page	187
Ending Page	191
File Size	456084
Page Count	5
File Format	PDF
ISBN	9781467352499
e-ISBN	9781467352505
DOI	10.1109/ICETACS.2013.6691420
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-13
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Heart beat Databases Arrhythmia Artificial neural networks Electrocardiography Feature extraction Electrocardiogram (ECG) Artificial Neural Network (ANN) Principal component analysis
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 Libarray 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

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