Cerca, AntónioLourenço, AndréJ. Ferreira, Artur2020-04-222020-04-222019-04-18CERCA, 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. 1-4978-1-5386-8507-5978-1-5386-8506-8http://hdl.handle.net/10400.21/11500The 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.engElectrocardiographyLinear Predictive CodingLempel-Ziv-WelchDiscrete Wavelet Transformconference object10.1109/ENBENG.2019.8692467