title: Schemes for fusion of EEG and ECG towards temporal lobe epilepsy diagnostics.
abstract: 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.
authors.affiliation: Neural Computing Research Group, Aston University, Birmingham, United Kingdom. bermutar@aston.ac.uk
authors.forename: Thomas
authors.initials: T
authors.lastname: Bermudez
authors.forename: David
authors.initials: D
authors.lastname: Lowe
authors.forename: Anne-Marie
authors.initials: AM
authors.lastname: Arlaud-Lamborelle
mesh_terms: 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