Title :
Wavelet entropy characterization of elevated intracranial pressure
Author :
Xu, Peng ; Scalzo, Fabien ; Bergsneider, Marvin ; Vespa, Paul ; Chad, Miller ; Hu, Xiao
Author_Institution :
Neural Systems and Dynamics Laboratory, Department of Neurosurgery, the David Geffen School of Medicine, University of California, Los Angeles, USA
Abstract :
Intracranial Hypertension (ICH) often occurs for those patients with traumatic brain injury (TBI), stroke, tumor, etc. Pathology of ICH is still controversial. In this work, we used wavelet entropy and relative wavelet entropy to study the difference existed between normal and hypertension states of ICP for the first time. The wavelet entropy revealed the similar findings as the approximation entropy that entropy during ICH state is smaller than that in normal state. Moreover, with wavelet entropy, we can see that ICH state has the more focused energy in the low wavelet frequency band (0–3.1 Hz) than the normal state. The relative wavelet entropy shows that the energy distribution in the wavelet bands between these two states is actually different. Based on these results, we suggest that ICH may be formed by the re-allocation of oscillation energy within brain.
Keywords :
Brain injuries; Cranial pressure; Electroencephalography; Entropy; Frequency; Hypertension; Neoplasms; Neurosurgery; Pathology; Patient monitoring; Algorithms; Brain; Cortical Synchronization; Electroencephalography; Entropy; Evoked Potentials; Humans; Intracranial Hypertension; Intracranial Pressure; Models, Neurological; Models, Statistical; Pressure; Probability; Signal Processing, Computer-Assisted; Time Factors;
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2008.4649815