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Advisor(s)
Abstract(s)
The compression of Electrocardiography (ECG) signals acquired in off-the-person scenarios requires methods that cope with noise and other impairments on the acquisition process. In this paper, after a brief review of common on-the-person ECG signal compression algorithms, we propose and evaluate techniques for this compression task with off-the-person acquired signals, in both lossy and lossless scenarios, evaluated with standard metrics. Our experimental results show that the joint use of Linear Predictive Coding and Lempel-Ziv-Welch is an adequate lossless approach, and the amplitude scaling followed by the Discrete Wavelet Transform achieves the best compression ratio, with a small distortion, among the lossy techniques.
Description
Keywords
Electrocardiography Linear Predictive Coding Lempel-Ziv-Welch Discrete Wavelet Transform
Citation
CERCA, António; LOURENÇO, André; FERREIRA, Artur – A study on compression techniques for off-the-person electrocardiogram signals. In 2019 IEEE 6th Portuguese Meeting on Bioengineering (ENBENG). Lisbon, Portugal: IEEE, 2019. ISBN 978-1-5386-8507-5. Pp. 1-4
Publisher
Institute of Electrical and Electronics Engineers