A low complexity on-chip ECG data compression methodology targeting remote health-care applications

Joseph, B and Acharyya, Amit and P, Rajalakshmi (2014) A low complexity on-chip ECG data compression methodology targeting remote health-care applications. In: 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, 26-30 August 2014, Chicago; United States.

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Abstract

In this paper, we propose a novel low complexity on-chip ECG data compression methodology targeting remote health-care applications. This is to the best of our knowledge the first attempt for on-chip reliable data compression. The proposed methodology has been implemented targeting Application Specific Integrated Circuit platform at 1MHz at Vdd 1.62V for UMC 130nm technology library with 16 bits system word-length. Furthermore the proposed methodology results in a faithful reconstruction which has been validated using MIT-BIH PTB-DB as well as our institute's health repository IITH-DB. On an average about 90% compression is achieved with more than 83% R2 statistics, 98% Cross Correlation and about 99% Regression between the original and the reconstructed data signifying the diagnostic accuracy. Subsequently the proposed methodology is capable of storing approximately 47 hrs of data in the same on-chip memory when compared to that of 5 hours of continuous data in the state of the art which would lead to enhanced diagnosis and prognosis in remote health-care.

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IITH Creators:
IITH CreatorsORCiD
Acharyya, Amithttp://orcid.org/0000-0002-5636-0676
P, RajalakshmiUNSPECIFIED
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: application specific integrated circuits, data compression, electrocardiography, health care, medical signal processing, regression analysis, signal reconstruction,
Subjects: Physics > Electricity and electronics
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 05 Jun 2015 07:25
Last Modified: 29 Aug 2017 11:15
URI: http://raiith.iith.ac.in/id/eprint/1562
Publisher URL: https://doi.org/10.1109/EMBC.2014.6944982
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