Document Detail

Intracranial pressure signal morphology: real-time tracking.
MedLine Citation:
PMID:  22481746     Owner:  NLM     Status:  In-Data-Review    
The waveform morphology of intracranial pressure (ICP) pulses holds essential information about intracranial and cerebrovascular pathophysiologies. Automatic analysis of the ICP waveforms may help to predict abnormal increase of ICP and thus prevent severe complications in patients treated for traumatic brain injuries (TBIs). This article describes a probabilistic framework to track the ICP waveform morphology in real time. The model represents the correlation between different ICP morphological metrics extracted within a single pulse as well as the temporal dependence of metrics extracted between successive pulses. Morphological tracking is solved using Bayesian inference in a dynamic graphical model that associates a random variable to each morphological metric.
Fabien Scalzo; Marvin Bergsneider; Paul Vespa; Neil Martin; Xiao Hu
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  IEEE pulse     Volume:  3     ISSN:  2154-2287     ISO Abbreviation:  IEEE Pulse     Publication Date:  2012 Mar 
Date Detail:
Created Date:  2012-04-06     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101541727     Medline TA:  IEEE Pulse     Country:  United States    
Other Details:
Languages:  eng     Pagination:  49-52     Citation Subset:  IM    
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