@inproceedings{dce604a745ce411398acb5b83ed2a795,
title = "Tracking epileptic seizure activity via information theoretic graphs",
abstract = "This work introduces an algorithm for localization of the seizure onset zone (SOZ) of epileptic patients based on electrocorticography (ECoG) recordings. The algorithm represents the set of electrodes using a directed graph in which nodes correspond to recording electrodes, while the edge weights are the pair-wise causal influence. This causal influence is quantified by estimating the pair-wise directed information functional. The SOZ is inferred from the graph by identifying nodes which act as sources of causal influence. Results based on several datasets show a close match between the inferred SOZ and the SOZ estimated by expert neurologists.",
author = "Yonathan Murin and Jeremy Kim and Andrea Goldsmith",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016 ; Conference date: 06-11-2016 Through 09-11-2016",
year = "2017",
month = mar,
day = "1",
doi = "10.1109/ACSSC.2016.7869109",
language = "English (US)",
series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",
publisher = "IEEE Computer Society",
pages = "583--587",
editor = "Matthews, {Michael B.}",
booktitle = "Conference Record of the 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016",
address = "United States",
}