ICVS-Inferring Cardio-Vascular hidden States from physiological signals available at the bedside.

ABSTRACT: Intensive care medicine is complex and resource-demanding. A critical and common challenge lies in inferring the underlying physiological state of a patient from partially observed data. Specifically for the cardiovascular system, clinicians use observables such as heart rate, arterial and venous blood pressures, as well as findings from the physical examination and ancillary tests to formulate a mental model and estimate hidden variables such as cardiac output, vascular resistance, filling pressures and volumes, and autonomic tone. Then, they use this mental model to derive the causes for instability and choose appropriate interventions. Not only this is a very hard problem due to the nature of the signals, but it also requires expertise and a clinician's ongoing presence at the bedside.

SUBMITTER: Ravid Tannenbaum N 

PROVIDER: S-EPMC10503777 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature