Tracking progression of patient state of health in critical care using inferred shared dynamics in physiological time series

Physiologic systems generate complex dynamics in their output signals that reflect the changing state of the underlying control systems. In this work, we used a switching vector autoregressive (switching VAR) framework to systematically learn and identify a collection of vital sign dynamics, which c...

Descripción completa

Detalles Bibliográficos
Autores principales: Lehman, Li-wei H., Adams, Ryan P., Moody, George B., Malhotra, Atul, Mark, Roger Greenwood, Nemati, Shamim, 1980-
Otros Autores: Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Formato: Artículo
Lenguaje:en_US
Publicado: Institute of Electrical and Electronics Engineers (IEEE) 2015
Acceso en línea:http://hdl.handle.net/1721.1/92949
https://orcid.org/0000-0002-6318-2978