Boosted-SpringDTW for Comprehensive Feature Extraction of PPG Signals

Goal: To achieve high-quality comprehensive feature extraction from physiological signals that enables precise physiological parameter estimation despite evolving waveform morphologies. Methods: We propose Boosted-SpringDTW, a probabilistic framework that leverages dynamic time warping (DTW) and min...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IEEE 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9299207/
https://www.ncbi.nlm.nih.gov/pubmed/35873901
http://dx.doi.org/10.1109/OJEMB.2022.3174806

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9299207/
https://www.ncbi.nlm.nih.gov/pubmed/35873901
http://dx.doi.org/10.1109/OJEMB.2022.3174806

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