Open-source system for millisecond-synchronized continuous video-EEG

Arun Raghavan, Andrew Wilson, Christopher Wend, Alice Alexander, Christa Habela, David Nauen

Research output: Contribution to journalArticle

Abstract

The causes of epilepsy are incompletely understood, and rodent models enable valuable mechanistic investigations. Synchronized video-electroencephalography (video-EEG) data is critical for clinical assessment of seizure events and is similarly important in basic research on epilepsy, but commercial packages offer limited flexibility and are costly. We've developed and here make freely available OpenVEEG, fully open-source software for millisecond-synchronized video-EEG. With only hardware costs, the system price is approximately one-fifth that of a commercial system with similar capabilities. It is straightforward to use, readily extensible, and records robustly on the time scale of weeks.

Original languageEnglish (US)
Pages (from-to)27-30
Number of pages4
JournalEpilepsy Research
Volume145
DOIs
StatePublished - Sep 1 2018

Fingerprint

Electroencephalography
Epilepsy
Rodentia
Seizures
Software
Costs and Cost Analysis
Research

Keywords

  • Open-source
  • Resource
  • Rodent model
  • Video-EEG

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology

Cite this

Open-source system for millisecond-synchronized continuous video-EEG. / Raghavan, Arun; Wilson, Andrew; Wend, Christopher; Alexander, Alice; Habela, Christa; Nauen, David.

In: Epilepsy Research, Vol. 145, 01.09.2018, p. 27-30.

Research output: Contribution to journalArticle

Raghavan, Arun ; Wilson, Andrew ; Wend, Christopher ; Alexander, Alice ; Habela, Christa ; Nauen, David. / Open-source system for millisecond-synchronized continuous video-EEG. In: Epilepsy Research. 2018 ; Vol. 145. pp. 27-30.
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