Paper Title

FPGA implementation of ECG signal characterstics

Authors

Dr B Khaleelu Rehman , Navya , Naveen , T.Rajani , Shivaranjani

Keywords

Verilog HDL, FPGA board, Zed board

Abstract

The heart disease is dangerous and threat to human life. Most number of heart diseases are observed in the recent years .The diseases are diagnosed and cured completely if predicted in advance .The ECG signal, which contains the data, can be processed by different methods; there is a huge movement for the health care applications, which consists portable, less-cost monitoring applications like wearable watches, T-shirts. Electrocardiogram signal processing module is implemented in Verilog HDL and simulation on Xilinx Isim simulator. All the time domain parameters of ECG signal such as QRS complex, P wave, Q wave, R wave,S wave, T wave, PQ segment, QRS segment, ST segment, QT segments are implemented on high-end Zedboard Zynq-7020- series FPGA BOARD.

How To Cite

"FPGA implementation of ECG signal characterstics", IJEDR - INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH (www.IJEDR.org), ISSN:2321-9939, Vol.10, Issue 3, page no.41-46, July 2022, Available :https://rjwave.org/IJEDR/papers/IJEDR2203007.pdf

Issue

Volume 10 Issue 3, June-2022

Pages : 41-46

Other Publication Details

Paper Reg. ID: IJEDR_220163

Published Paper Id: IJEDR2203007

Research Area: Electronics & Communication Engg. 

Country: Hyderabad, TElangana, India

Published Paper PDF: https://rjwave.org/IJEDR/papers/IJEDR2203007

Published Paper URL: https://rjwave.org/IJEDR/viewpaperforall?paper=IJEDR2203007

About Publisher

ISSN: 2321-9939 | IMPACT FACTOR: 9.37 Calculated By Google Scholar | ESTD YEAR: 2013

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.37 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJEDR (IJ Publication) Janvi Wave

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