UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 3 | March 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 7 Issue 4
April-2020
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2004316


Registration ID:
230878

Page Number

891-895

Share This Article


Jetir RMS

Title

ECG Data Analysis using CNN and SVM

Abstract

Electrocardiogram (ECG) is a P, QRS and T wave signifying the electrical activity of the heart. Feature extraction and segmentation in ECG plays a major part in analysing most of the cardiac disease. According to a recent study by the Indian Council of Medical Research (ICMR) near about 25% of deaths between the ages of 25-69 years cause due to different heart-related problems. This paper provides a comprehensive review of the different techniques used by the researchers for diagnosing Arrhythmias and abstract view of the proposed system that we are going to implement with increasing accuracy using CNN. The system predicts the type of arrhythmia based on real-time ECG signals. The goal of this paper is to analyse, examine, evaluate, and make a summary of various approaches prediction of heart disease.

Key Words

Heart Disease, ECG Analysis, Feature Extraction, Signal Pre-processing, Live Patient Data

Cite This Article

"ECG Data Analysis using CNN and SVM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 4, page no.891-895, April-2020, Available :http://www.jetir.org/papers/JETIR2004316.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

"ECG Data Analysis using CNN and SVM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 4, page no. pp891-895, April-2020, Available at : http://www.jetir.org/papers/JETIR2004316.pdf

Publication Details

Published Paper ID: JETIR2004316
Registration ID: 230878
Published In: Volume 7 | Issue 4 | Year April-2020
DOI (Digital Object Identifier):
Page No: 891-895
Country: pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0003089

Print This Page

Current Call For Paper

Jetir RMS