UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRCJ06098


Registration ID:
211863

Page Number

445-447

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Title

Evaluation of different parameters of noisy ECG signal generated by jointly using MIT-BIH Noise Stress Test Database and CSE multi-lead clear ECG database

Abstract

A realistic 12 lead of noisy ECG signal database is developed here using MIT- BIH Noise Stress Test Database (NSTDB) of three type of noise with clear ECG from CSE multi-lead database. Then used this generated noisy ECG database on a algorithm of detection and identification of ECG wave by histogram approach to analyze its performance over noisy ECG signal, as it does on clear ECG, for different value of signal to noise ratio (SNR) and compare the result by computing average percentage error for different parameters of each ECG lead.

Key Words

Noise, Lead, Database, signal to noise ratio, Average percentage error.

Cite This Article

"Evaluation of different parameters of noisy ECG signal generated by jointly using MIT-BIH Noise Stress Test Database and CSE multi-lead clear ECG database", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.445-447, May-2019, Available :http://www.jetir.org/papers/JETIRCJ06098.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Evaluation of different parameters of noisy ECG signal generated by jointly using MIT-BIH Noise Stress Test Database and CSE multi-lead clear ECG database", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp445-447, May-2019, Available at : http://www.jetir.org/papers/JETIRCJ06098.pdf

Publication Details

Published Paper ID: JETIRCJ06098
Registration ID: 211863
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 445-447
Country: Chennai, Tamil Nadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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