NDLI: Reduction of stimulus artifacts in Ictal EEG recordings during electroconvulsive therapy

Content Provider	IEEE Xplore Digital Library
Author	Farhat, H.S. Karameh, F.N. Nahas, Z.
Copyright Year	2015
Description	Author affiliation: Dept. of Electr. & Comput. Eng., American Univ. of Beirut, Beirut, Lebanon (Farhat, H.S.; Karameh, F.N.) \|\| Dept. of Psychiatry, American Univ. of Beirut, Beirut, Lebanon (Nahas, Z.)
Abstract	Electroconvulsive therapy (ECT) is a common clinical tool used for alleviating drug-resistant depression. During ECT, an electrode pair delivers few seconds of repetitive large-amplitude brief electric current pulses onto the patient's scalp that trigger brief ictal seizures in the underlying brain networks, which in turn promote reduction of depression symptoms. ECT therapeutic efficacy depends on the initiation location of a seizure and its propagation patterns. Accordingly, it is very desirable to utilize multichannel EEG recordings to understand how seizures vary with parameters related to electrode configuration (e.g. location, size) and current (e.g. amplitude, polarity). However, a major hurdle to obtaining clear recordings during a seizure (ictal activity, ~ 100 μv) are the long-lasting (6-8 seconds) very large amplitude (~ 100 mV) artifacts created by the stimulation electrodes. The disparity in signal-to-noise amplitude during an artifact (~ 1/1000) constitutes a major challenge to common signal conditioning and artifact removal tools. We here propose a multiple stage algorithm for detecting frequency coherences in hidden ictal EEG signals. The algorithm exploits both temporal information and spatial correlation patterns among affected electrode to remove major artifact components. We present a simulated example to verify the efficacy of our method as well as some preliminary results on actual EEG data.
Starting Page	138
Ending Page	141
File Size	1368993
Page Count	4
File Format	PDF
ISSN	23775696
e-ISBN	9781467365161
DOI	10.1109/ICABME.2015.7323271
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-16
Publisher Place	Lebanon
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrodes Correlation Medical treatment ECT stimulation Spatio-temporal correlation models Brain modeling Electroencephalography Artifact reduction Biomedical engineering Principal component analysis
Content Type	Text
Resource Type	Article

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