Dynamic assessment of signal entropy for prognostication and secondary brain insult detection after traumatic brain injury.

ABSTRACT:

Background

Entropy quantifies the level of disorder within a system. Low entropy reflects increased rigidity of homeostatic feedback systems possibly reflecting failure of protective physiological mechanisms like cerebral autoregulation. In traumatic brain injury (TBI), low entropy of heart rate and intracranial pressure (ICP) predict unfavorable outcome. Based on the hypothesis that entropy is a dynamically changing process, we explored the origin and value of entropy time trends.

Methods

232 continuous recordings of arterial blood pressure and ICP of TBI patients with available clinical information and 6-month outcome (Glasgow Outcome Scale) were accessed form the Brain Physics database. Biosignal entropy was estimated as multiscale entropy (MSE) that aggregates entropy at

SUBMITTER: Bogli SY 

PROVIDER: S-EPMC11684064 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature