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...
| Autores principales: | , , , , , |
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| Otros Autores: | |
| Formato: | Artículo |
| Lenguaje: | en_US |
| Publicado: |
Institute of Electrical and Electronics Engineers (IEEE)
2015
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| Acceso en línea: | http://hdl.handle.net/1721.1/92949 https://orcid.org/0000-0002-6318-2978 |