Schemes for fusion of EEG and ECG towards temporal lobe epilepsy diagnostics.
The Brain-Heart system can be considered as a coupled dynamical control system in which bioenergetic processes in the brain have an autonomic influence in the heart. Hence, temporal lobe epilepsy (TLE) can induce a modification of the cardiac rhythm: in the case of fully developed temporal lobe epilepsy, this modification tends to consist of tachycardia. In this paper we investigate this phenomenon through the introduction of a biomarker based on electroencephalogram (EEG) recordings, sensitive to fully-developed TLE seizures but also partial non-TLE seizures, whose diagnostic towards TLE is reinforced through data fusion by a biomarker based on electrocardiogram (ECG) recordings. The different schemes of information fusion are investigated as part of the uncertainty reduction problem.
Bermudez
Thomas
T
Neural Computing Research Group, Aston University, Birmingham, United Kingdom. bermutar@aston.ac.uk
Lowe
David
D
Arlaud-Lamborelle
Anne-Marie
AM
D000465:Algorithms; D020000:Decision Support Systems, Clinical; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004562:Electrocardiography / Q000379:methods*; D004569:Electroencephalography / Q000379:methods*; D004833:Epilepsy, Temporal Lobe / Q000175:diagnosis*; D006801:Humans