Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/20.500.12421/2724
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dc.contributor.authorArgüello Prada, Erick Javier-
dc.date.accessioned2020-02-10T04:59:37Z-
dc.date.available2020-02-10T04:59:37Z-
dc.date.issued2019-01-14-
dc.identifier.issn01206230-
dc.identifier.urihttps://repository.usc.edu.co/handle/20.500.12421/2724-
dc.description.abstractSeveral 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.es
dc.language.isoenes
dc.publisherUniversidad de Antioquiaes
dc.subjectPhotoplethysmographyes
dc.subjectPeak detectiones
dc.subjectLow-amplitude signalses
dc.subjectNoise contaminationes
dc.subjectAdaptive thresholdes
dc.titleEl método del alpinista para detección de picos en señales fotopletismográficases
dc.typeArticlees
Appears in Collections:Artículos Científicos



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