Low Power Personalized ECG Based System Design Methodology for Remote Cardiac Health Monitoring

Vemishetty, N and Patra, P and Jha, P K and Chivukula, K B and Vala, C K and Jagirdar, A and Gudur, C Y and Acharyya, Amit and Dutta, Asudeb (2016) Low Power Personalized ECG Based System Design Methodology for Remote Cardiac Health Monitoring. IEEE Access, 4. pp. 8407-8417. ISSN 2169-3536

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Abstract

This paper describes a mixed-signal ECG system for personalized and remote cardiac health monitoring. The novelty of this work is four-fold. Firstly, a low power analog front end with an efficient automatic gain control mechanism, maintaining the input of the ADC to a level rendering optimum SNR and the enhanced recyclic folded cascode opamp used as an integrator for ADC. Secondly, a novel on-the-fly PQRST Boundary Detection (BD) methodology is formulated for finding the boundaries in continuous ECG signal. Thirdly, a novel low-complexity ECG feature extraction architecture is designed by reusing the same module present in the proposed BD methodology. Fourthly, the system is having the capability to reconfigure the proposed Low power ADC for low (8 bits) and high (12 bits) resolution with the use of the feedback signal obtained from the digital block when it is in processing. The proposed system has been tested and validated on patient’s data from PTBDB, CSEDB and in-house IIT Hyderabad DB (IITHDB) and we have achieved an accuracy of 99% upon testing on various normal and abnormal ECG signals. The whole system is implemented in 180 nm technology resulting in 9.47W (@ 1 MHz) power consumption and occupying 1.74mm2 silicon area.

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IITH Creators:
IITH CreatorsORCiD
Acharyya, Amithttp://orcid.org/0000-0002-5636-0676
Dutta, AsudebUNSPECIFIED
Item Type: Article
Additional Information: Amit Acharyya would also like to acknowledge his ”Visvesvaraya Young Faculty Fellowship” by the Ministry of electronics and Information Technology, Govt. of India.
Uncontrolled Keywords: Electrocardiography, Gain control, Feature extraction, Power demand, Signal resolution, Discrete wavelet transforms, Noise shaping
Subjects: Others > Electricity
Others > Electronic imaging & Singal processing
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 06 Dec 2016 09:58
Last Modified: 29 Aug 2017 10:50
URI: http://raiith.iith.ac.in/id/eprint/2916
Publisher URL: https://doi.org/10.1109/ACCESS.2016.2629486
OA policy: http://www.sherpa.ac.uk/romeo/issn/2169-3536/
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