Classification of Blood Volume Decompensation State via Machine Learning Analysis of Multi-Modal Wearable-Compatible Physiological Signals

This paper presents a novel computational algorithm to estimate blood volume decompensation state based on machine learning (ML) analysis of multi-modal wearable-compatible physiological signals. To the best of our knowledge, our algorithm may be the first of its kind which can not only discriminate...

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Detalles Bibliográficos
Autores principales: Chalumuri, Yekanth Ram, Kimball, Jacob P., Mousavi, Azin, Zia, Jonathan S., Rolfes, Christopher, Parreira, Jesse D., Inan, Omer T., Hahn, Jin-Oh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963055/
https://www.ncbi.nlm.nih.gov/pubmed/35214238
http://dx.doi.org/10.3390/s22041336

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963055/
https://www.ncbi.nlm.nih.gov/pubmed/35214238
http://dx.doi.org/10.3390/s22041336

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