Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/20.500.12421/2724
Title: El método del alpinista para detección de picos en señales fotopletismográficas
Authors: Argüello Prada, Erick Javier
Keywords: Photoplethysmography
Peak detection
Low-amplitude signals
Noise contamination
Adaptive threshold
Issue Date: 14-Jan-2019
Publisher: Universidad de Antioquia
Abstract: Several efforts have been made to develop algorithms for accurate peak detection in photoplethysmographic (PPG) signals. Most of those algorithms have been specifically conceived to perform under high motion artifact and baseline drift conditions. However, little has been done regarding peak detection in low-amplitude PPG signals. In an attempt to address this issue, a simple and real-time peak detection algorithm for PPG signals was proposed. In comparison with two other well-established peak detection algorithms, the proposed method was able to achieve over than 98% sensitivity and less than 3% failed detection rate, even when the amplitude of the PPG signal dropped to 0.2 V. Still, further work is needed to improve its robustness to motion artifacts.
URI: https://repository.usc.edu.co/handle/20.500.12421/2724
ISSN: 01206230
Appears in Collections:Artículos Científicos



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