Name
Title | ||
|---|---|---|
Forecasting ICP elevation based on prescient changes of intracranial pressure waveform morphology. |
Abstract | ||
|---|---|---|
Interventions of intracranial pressure (ICP) elevation in neurocritical care is currently delivered only after healthcare professionals notice sustained and significant mean ICP elevation. This paper uses the morphological clustering and analysis of ICP (MOCAIP) algorithm to derive 24 metrics characterizing morphology of ICP pulses and test the hypothesis that preintracranial hypertension (Pre-IH)... |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/TBME.2009.2037607 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Cranial pressure,Morphology,Iterative closest point algorithm,Medical services,Algorithm design and analysis,Clustering algorithms,Testing,Hypertension,Optimal control,Machine learning | Biomedical engineering,Pattern clustering,Computer science,Patient care,Artificial intelligence,Elevation,Cluster analysis,Computer vision,Pattern recognition,Global optimization algorithm,Waveform,Intracranial pressure,Differential evolution algorithm | Journal |
Volume | Issue | ISSN |
57 | 5 | 0018-9294 |
Citations | PageRank | References |
8 | 1.28 | 4 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiao Hu | 1 | 72 | 13.64 |
| Peng Xu | 2 | 28 | 3.89 |
| Shadnaz Asgari | 3 | 111 | 11.02 |
| Paul Vespa | 4 | 8 | 1.28 |
| Marvin Bergsneider | 5 | 67 | 10.75 |