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Recurrence Plot and Machine Learning for Signal Quality Assessment of Photoplethysmogram in Mobile Environment

The purpose of this study was to develop a machine learning model that could accurately evaluate the quality of a photoplethysmogram based on the shape of the photoplethysmogram and the phase relevance in a pulsatile waveform without requiring complicated pre-processing. Photoplethysmograms were rec...

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Detalles Bibliográficos
Autores principales: Roh, Donggeun, Shin, Hangsik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8004064/
https://www.ncbi.nlm.nih.gov/pubmed/33804794
http://dx.doi.org/10.3390/s21062188

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