EEG CONNECTIVITY - INFORMED COOPERATIVE ADAPTIVE LINE ENHANCER FOR RECOGNITION OF BRAIN STATE'. / Sanei, Saeid; Cheong Took, Clive; Jarchi, Delaram ; Prochazke, Ales.

In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 04.05.2020.

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Abstract

Bursts of sleep spindles and paroxysmal fast brain activity waveforms have frequency overlap whilst generally, paroxysmal waveforms have shorter duration than spindles. Both of these waveforms resemble bursts of normal alpha activity during short rests while awake with closed eyes. In this paper, it is shown that for a proposed cooperative adaptive line enhancer, which can both detect and separate such periodic bursts, the combination weights are consistently different from each other. The outcome suggests that for accurate modelling of the brain neuro-generators, the brain connectivity has to be precisely estimated and plugged into the adaptation process.
Original languageEnglish
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Publication statusPublished - 4 May 2020
This open access research output is licenced under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.

ID: 36485671