ECG Data Compression using Turning Point Algorithm

Authors: Muzaffar Saba Anjum, Dr Monisha Chakraborty

DOI: https://doi.org/10.17605/OSF.IO/A7TNM

Short DOI: https://doi.org/ggrs8q

Country:

Full-text Research PDF File:   View   |   Download

Abstract: In this paper, emphasis has been given to compress ECG data using Turning Point Algorithm which compresses the ECG data in the ratio 2:1. For this we have acquired different ECG signals using POLYPARA system and MIT-BIH database and using MATLAB software we implemented the algorithm and obtain the results for different ECG signals and found that the Turning Point Algorithm produces a fixed compression ratio of 2:1.

Keywords: Data Compression, ECG Compression, MIT-BIH Database, Turning Point Algorithm

Paper Id: 30

Published On: 2014-11-06

Published In: Volume 2, Issue 6, November-December 2014

Cite This: ECG Data Compression using Turning Point Algorithm - Muzaffar Saba Anjum, Dr Monisha Chakraborty - IJIRMPS Volume 2, Issue 6, November-December 2014. DOI 10.17605/OSF.IO/A7TNM

Share this