Reliable resource-constrained telecardiology via compressive detection of anomalous ECG signals

Chandra, B S and Challa, Subrahmanya Sastry and Jana, Soumya (2015) Reliable resource-constrained telecardiology via compressive detection of anomalous ECG signals. Computers in Biology and Medicine, 66. pp. 144-153. ISSN 0010-4825

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Telecardiology is envisaged as a supplement to inadequate local cardiac care, especially, in infrastructure deficient communities. Yet the associated infrastructure constraints are often ignored while designing a traditional telecardiology system that simply records and transmits user electrocardiogram (ECG) signals to a professional diagnostic facility. Against this backdrop, we propose a two-tier telecardiology framework, where constraints on resources, such as power and bandwidth, are met by compressively sampling ECG signals, identifying anomalous signals, and transmitting only the anomalous signals. Specifically, we design practical compressive classifiers based on inherent properties of ECG signals, such as self-similarity and periodicity, and illustrate their efficacy by plotting receiver operating characteristics (ROC). Using such classifiers, we realize a resource-constrained telecardiology system, which, for the PhysioNet databases, allows no more than 0.5% undetected patients even at an average downsampling factor of five, reducing the power requirement by 80% and bandwidth requirement by 83.4% compared to traditional telecardiology.

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IITH Creators:
IITH CreatorsORCiD
Challa, Subrahmanya SastryUNSPECIFIED
Item Type: Article
Uncontrolled Keywords: Telecardiology; Compressive sampling; Hurst exponent; Autocorrelation; Receiver operating characteristics
Subjects: Others > Electricity
Others > Engineering technology
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Divisions: Department of Electrical Engineering
Department of Mathematics
Depositing User: Team Library
Date Deposited: 12 Oct 2015 10:10
Last Modified: 01 Sep 2017 10:01
Publisher URL:
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