Detail publikace

Ultra-fast oscillation detection in EEG signal from deep-brain microelectrodes

TRÁVNÍČEK, V. CIMBÁLNÍK, J. KLIMEŠ, P. JURÁK, P. DANIEL, P. BRÁZDIL, M.

Originální název

Ultra-fast oscillation detection in EEG signal from deep-brain microelectrodes

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

For the last decades, ripples 80-200Hz (R)and fast ripples 200-500Hz (FR) were intensively studied as biomarkers of the epileptogenic zone (EZ). Recently, Very fast ripples 500-1000Hz (VFR) and ultra-fast ripples 1000-2000Hz (UFR) recorded using standard clinical macro electrodes have been shown to be more specific for EZ. High-sampled microelectrode recordings can bring new insights into this phenomenon of high frequency, multiunit activity. Unfortunately, visual detection of such events is extremely time consuming and unreliable. Here we present a detector of ultra-fast oscillations (UFO, >1kHz). In an example of two patients, we detected 951 UFOs which were more frequent in epileptic (8.6/min) vs. non-epileptic hippocampus (1.3/min). Our detection method can serve as a tool for exploring extremely high frequency events from microelectrode recordings.

Klíčová slova

iEEG, Epilepsy, event detection

Autoři

TRÁVNÍČEK, V.; CIMBÁLNÍK, J.; KLIMEŠ, P.; JURÁK, P.; DANIEL, P.; BRÁZDIL, M.

Vydáno

1. 11. 2021

Nakladatel

IEEE

Místo

NEW YORK

ISBN

978-1-7281-1179-7

Kniha

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Strany od

265

Strany do

268

Strany počet

4

BibTex

@inproceedings{BUT178223,
  author="TRÁVNÍČEK, V. and CIMBÁLNÍK, J. and KLIMEŠ, P. and JURÁK, P. and DANIEL, P. and BRÁZDIL, M.",
  title="Ultra-fast oscillation detection in EEG signal from deep-brain microelectrodes",
  booktitle="2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)",
  year="2021",
  pages="265--268",
  publisher="IEEE",
  address="NEW YORK",
  doi="10.1109/EMBC46164.2021.9629481",
  isbn="978-1-7281-1179-7"
}