- Title
- ECG reduction for wearable sensor
- Creator
- Allami, Ragheed; Stranieri, Andrew; Balasubramanian, Venki; Jelinek, Herbert
- Date
- 2016
- Type
- Text; Conference proceedings
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/165215
- Identifier
- vital:13195
- Identifier
-
https://doi.org/10.1109/sitis.2016.88
- Identifier
- ISBN:978-1-5090-5698-9
- 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 naive, 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%.
- Publisher
- IEEE
- Relation
- 2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS); Naples, Italy; 28th November-1st December 2016 p. 520-525
- Rights
- Copyright © 2016 by The Institute of Electrical and Electronics Engineers, Inc. All rights reserved.
- Rights
- This metadata is freely available under a CCO license
- Subject
- ECG intervals; Compression ratio; Data reduction; Real-time; Energy consumption
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| View Details Download | SOURCE1 | Published version | 302 KB | Adobe Acrobat PDF | View Details Download | ||
| View Details Download | SOURCE2 | Accepted Version | 384 KB | Adobe Acrobat PDF | View Details Download |