Please use this identifier to cite or link to this item: https://repository.usc.edu.co/handle/20.500.12421/2699
Title: A novel and low-complexity peak detection algorithm for heart rate estimation from low-amplitude photoplethysmographic (PPG) signals
Authors: Argüello Prada, Erick Javier
Serna Maldonado, Rafael Daniel
Keywords: Photoplethysmography (PPG);Systolic peak detection;Low-amplitude signals;Heart rate estimation;Motion artefacts
Issue Date: Mar-2019
Publisher: Taylor and Francis Ltd
Abstract: Low-amplitude PPG signals are more affected by noise contamination and other undesirable effects because the signal strength is comparable to noise power. Although several authors claim that decreases in the amplitude of the PPG wave should be addressed from signal acquisition and conditioning stages such decreases can also be associated with changes in the patient condition. In that instance, it is important to ensure continuous and reliable HR monitoring which, in turn, depends on how robust is the peak detection method. Numerous efforts have been made to develop algorithms for accurate PPG peak detection under high motion artefact conditions. However, little has been done regarding peak detection in low-amplitude PPG signals. In an attempt to address this issue, a novel and simple peak detection algorithm for PPG signals was proposed. Results show that our method could be a good contribution for robust strategies that can dynamically adapt their peak detection method to circumstances in which a decrease in the amplitude of the PPG signal is expected. Still, more extensive testing under a wide range of conditions (e.g. intensive physical exercise) is needed to perform a rigorous validation.
URI: https://repository.usc.edu.co/handle/20.500.12421/2699
ISSN: 03091902
Appears in Collections:Artículos Científicos

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