DocumentCode :
2776428
Title :
Electrical Bioimpedance Cerebral Monitoring. A Study of the Current Density Distribution and Impedance Sensitivity Maps on a 3D Realistic Head Model
Author :
Seoane, Fernando ; Lu, Mai ; Persson, Mikael ; Lindecrantz, Kaj
Author_Institution :
Sch. of Eng., Univ. Coll. of Boras
fYear :
2007
fDate :
2-5 May 2007
Firstpage :
256
Lastpage :
260
Abstract :
There have been several studies of the application of electrical bioimpedance technology for brain monitoring in the past years. They have targeted a variety of events and injuries e.g. epilepsy or stroke. The current density distribution and the voltage lead field associated with an impedance measurement setup is of critical importance for the proper analysis of any dynamics in the impedance measurement or for an accurate reconstruction of an EIT image, specially a dynamic type. In this work for the first time, the current density distribution is calculated in a human head with anatomical accuracy and resolution down to 1 mm, containing up to 24 tissues and considering the frequency dependency of the conductivity of each tissue. The obtained current densities and the subsequent sensitivity maps are analyzed with a special focus on the dependency of the electrode arrangement and also the measurement frequency. The obtained results provide us with interesting and relevant information to consider in the design of any tool for electrical bioimpedance cerebral monitoring.
Keywords :
bioelectric phenomena; biological tissues; biology computing; biomedical electrodes; brain models; current density; electric impedance; patient monitoring; solid modelling; 3D realistic head model; brain damage; brain monitoring; current density distribution; electrical bioimpedance cerebral monitoring; electrode arrangement; impedance sensitivity maps; Bioimpedance; Current density; Epilepsy; Frequency; Head; Image analysis; Impedance measurement; Injuries; Monitoring; Voltage; Brain Damage; Cerebral Monitoring; Electrical Bioimpedance; Electrical Impedance Tomography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Engineering, 2007. CNE '07. 3rd International IEEE/EMBS Conference on
Conference_Location :
Kohala Coast, HI
Print_ISBN :
1-4244-0792-3
Electronic_ISBN :
1-4244-0792-3
Type :
conf
DOI :
10.1109/CNE.2007.369660
Filename :
4227265
Link To Document :
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