Methods for classifying depression in single channel EEG using linear and nonlinear signal analysis
author
Bachmann, Maie
Päeske, Laura
Kalev, Kaia
Aarma, Katrin
Lehtmets, Andres
Ööpik, Pille
Lass, Jaanus
Hinrikus, Hiie
statement of authorship
Maie Bachmann, Laura Päeske, Kaia Kalev, Katrin Aarma, Andres Lehtmets, Pille Ööpik, Jaanus Lass, Hiie Hinrikus
source
Computer methods and programs in biomedicine
publisher
Elsevier
journal volume number month
vol. 155
year of publication
2018
pages
p. 11−17 : ill
url
https://doi.org/10.1016/j.cmpb.2017.11.023
subject term
depressioon
psüühikahäired
elektroentsefalograafia
mittelineaarsed protsessid
keyword
depression
EEG (electroencephalography)
spectral asymmetry index
alpha power variability
relative gamma power
nonlinear signal processing
ISSN
0169-2607
notes
Bibliogr.: 38 ref
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/23604
https://www.scopus.com/record/display.uri?eid=2-s2.0-85036466883&origin=inward&txGid=f9386237f6fb2dba94f9476d8f8140d0
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=COMPUT%20METH%20PROG%20BIO&year=2022
https://www.webofscience.com/wos/woscc/full-record/WOS:000424763400003
category (general)
Computer science
Medicine
Arvutiteadus
Meditsiin
category (sub)
Computer science. Computer science applications
Medicine. Health informatics
Computer science. Software
Arvutiteadus. Arvutiteaduse rakendused
Meditsiin. Terviseinformaatika
Arvutiteadus. Tarkvara
quartile
Q1
TalTech department
tervisetehnoloogiate instituut
language
inglise
Reserch Group
Brain bioelectrical signals research group
Centre for biorobotics