Title :
Monitoring brain injury with Tsallis entropy
Author :
Tong, S. ; Bezerianos, A. ; Zhu, Y. ; Geocadin, R. ; Hanley, D. ; Thakor, N.
Author_Institution :
Dept. of Biomed. Eng., Johns Hopkins Sch. of Medicine, Baltimore, MD, USA
Abstract :
Nonextensive entropy measure, Tsallis entropy (TE), was undertaken to monitor the brain injury after cardiac arrest. EEG of human and experimental injury model of rats are investigated. In both conditions TE decreases in bad physiological functional outcome. As the brain recovers from injury, the TE will also gradually return to normal level. Meanwhile, TE also shows good sensitivity to different grades of asphyxic injury. This method provides a novel real time brain injury indicator and may be useful in developing a diagnostic monitoring tool.
Keywords :
electroencephalography; entropy; medical signal processing; statistical mechanics; Boltzmann-Gibbs statistical mechanics; EEG; Tsallis entropy; asphyxic injury; brain injury; cardiac arrest; diagnostic monitoring tool; generalized entropy; nonextensive entropy measure; nonlinear theory; rat injury model; real time injury indicator; Animals; Asphyxia; Brain injuries; Cardiac arrest; Electroencephalography; Entropy; Humans; Monitoring; Rats; Tellurium;
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
Print_ISBN :
0-7803-7211-5
DOI :
10.1109/IEMBS.2001.1020603
