Denoising and Compression of ECG for Memory Optimisation in Mobile Devices

K Joseph, R Raja Kishore


Owing to the growing demand for mobile healthcare and fitness monitoring devices, there is a need of optimization of memory space keeping in mind the device size constraints. Monitoring of various organs in a person has been developed for which the person has to go to a hospital or a diagnostic centre. And the monitoring of the heart has become very crucial as the death rates due to cardiac arrests have increased with no age barriers. Mobile ECG devices are growing fast due to the increasing health consciousness in every person and organizations.

The smaller devices to wear, the easier they are to carry. Mobile ECG sensors are prone to a lot of noise. This paper discusses on denoising technique using wavelet transform. The size constraints have pushed researchers to develop codes for memory optimization, to limit the capacity of Memory devices, and thus reducing the size to a certain extent. In this paper, set partitioning in hierarchical trees (SPIHT) coding algorithm is used for compression. SPIHT has achieved a lot of prominent success in compression of images. SPIHT for one dimensional signal is used. Wavelet transform along with SPIHT coding algorithm and encryption of the compressed data is discussed using a couple pre recorded ECG signals generated in MATLAB.

Full Text:


Copyright (c) 2017 Edupedia Publications Pvt Ltd

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.


EduPedia Publications Pvt Ltd, D-351, Prem Nagar-2, Suleman Nagar, Kirari, Nagloi, New Delhi PIN-Code 110086, India Through Phone Call us now: +919958037887 or +919557022047

All published Articles are Open Access at

Paper submission: or


Mobile:                  +919557022047 & +919958037887


Journals Maintained and Hosted by

EduPedia Publications (P) Ltd in Association with Other Institutional Partners

Pen2Print and IJR are registered trademark of the Edupedia Publications Pvt Ltd.