Automated EEG analysis: characterizing the posterior dominant rhythm

Research output: Contribution to journalArticleAcademicpeer-review

10 Citations (Scopus)
Original languageEnglish
Pages (from-to)86-93
Number of pages7
JournalJournal of neuroscience methods
Volume200
Issue number1
DOIs
Publication statusPublished - 2011

Keywords

  • METIS-281883

Cite this

@article{56bdfca27479480eb790e919054ec44d,
title = "Automated EEG analysis: characterizing the posterior dominant rhythm",
keywords = "METIS-281883",
author = "Shaun Lodder and {van Putten}, {Michel Johannes Antonius Maria}",
year = "2011",
doi = "10.1016/j.jneumeth.2011.06.008",
language = "English",
volume = "200",
pages = "86--93",
journal = "Journal of neuroscience methods",
issn = "0165-0270",
publisher = "Elsevier",
number = "1",

}

Automated EEG analysis: characterizing the posterior dominant rhythm. / Lodder, Shaun; van Putten, Michel Johannes Antonius Maria.

In: Journal of neuroscience methods, Vol. 200, No. 1, 2011, p. 86-93.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Automated EEG analysis: characterizing the posterior dominant rhythm

AU - Lodder, Shaun

AU - van Putten, Michel Johannes Antonius Maria

PY - 2011

Y1 - 2011

KW - METIS-281883

U2 - 10.1016/j.jneumeth.2011.06.008

DO - 10.1016/j.jneumeth.2011.06.008

M3 - Article

VL - 200

SP - 86

EP - 93

JO - Journal of neuroscience methods

JF - Journal of neuroscience methods

SN - 0165-0270

IS - 1

ER -