ECG Reduction for Wearable Sensor

Ragheed Allami, Andrew Stranieri, Venki Balasubramanian, Herbert F. Jelinek

Research output: Book chapter/Published conference paperConference paper

1 Citation (Scopus)

Abstract

The transmission, storage and analysis of electrocardiogram (ECG) data in real-time is essential for remote patient monitoring with wearable ECG devices and mobile ECG contexts. However, this remains a challenge to achieve within the processing power and the storage capacity of mobile devices. ECG reduction algorithms have an important role to play in reducing the processing requirements for mobile devices, however many existing ECG reduction and compression algorithms are computationally expensive to execute in mobile devices and have not been designed for real-time computation and incremental data arrival. In this paper, we describe a computationally naïve, yet effective, algorithm that achieves high ECG reduction rates while maintaining key diagnostic features including PR, QRS, ST, QT and RR intervals. While reduction does not enable ECG waves to be reproduced, the ability to transmit key indicators (diagnostic features) using minimal computational resources, is particularly useful in mobile health contexts involving power constrained sensors and devices. Results of the proposed reduction algorithm indicate that the proposed algorithm outperforms other ECG reduction algorithms at a reduction/compression ratio (CR) of 5:1. If power or processing capacity is low, the algorithm can readily switch to a compression ratio of up to 10:1 while still maintaining an error rate below 10%.
Original languageEnglish
Title of host publicationProceedings - 12th International Conference on Signal Image Technology and Internet-Based Systems, SITIS 2016
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages520-525
Number of pages6
ISBN (Electronic)9781509056989
DOIs
Publication statusPublished - 21 Apr 2017
Event12th International Conference on Signal Image Technology and Internet-Based Systems, SITIS 2016 - Partenope Conference Centre, Naples, Italy
Duration: 28 Nov 201601 Dec 2016
http://www.sitis-conf.org/past-conferences/www.sitis-conf.org-2016/www.sitis-conf.html

Conference

Conference12th International Conference on Signal Image Technology and Internet-Based Systems, SITIS 2016
CountryItaly
CityNaples
Period28/11/1601/12/16
Internet address

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    Allami, R., Stranieri, A., Balasubramanian, V., & Jelinek, H. F. (2017). ECG Reduction for Wearable Sensor. In Proceedings - 12th International Conference on Signal Image Technology and Internet-Based Systems, SITIS 2016 (pp. 520-525). [7907515] IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/SITIS.2016.88