EEG microstate and functional brain network features for classification of epilepsy and PNES

Negar Ahmadi

Research output: ThesisPhd Thesis 1 (Research TU/e / Graduation TU/e)

243 Downloads (Pure)
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Department of Mathematics and Computer Science
Supervisors/Advisors
  • Pechenizkiy, Mykola, Promotor
  • Aldenkamp, A.P. (Bert), Promotor
  • Duivesteijn, Wouter, Copromotor
Award date19 Nov 2019
Place of PublicationEindhoven
Publisher
Print ISBNs978-90-386-4892-7
Publication statusPublished - 19 Nov 2019

Bibliographical note

Proefschrift

Promotion : time and place

  • 13.30h, Atlas, room 0.710

Cite this

Ahmadi, N. (2019). EEG microstate and functional brain network features for classification of epilepsy and PNES. Eindhoven: Technische Universiteit Eindhoven.
Ahmadi, Negar. / EEG microstate and functional brain network features for classification of epilepsy and PNES. Eindhoven : Technische Universiteit Eindhoven, 2019. 211 p.
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note = "Proefschrift",
year = "2019",
month = "11",
day = "19",
language = "English",
isbn = "978-90-386-4892-7",
series = "SIKS Dissertation Series",
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Ahmadi, N 2019, 'EEG microstate and functional brain network features for classification of epilepsy and PNES', Doctor of Philosophy, Department of Mathematics and Computer Science, Eindhoven.

EEG microstate and functional brain network features for classification of epilepsy and PNES. / Ahmadi, Negar.

Eindhoven : Technische Universiteit Eindhoven, 2019. 211 p.

Research output: ThesisPhd Thesis 1 (Research TU/e / Graduation TU/e)

TY - THES

T1 - EEG microstate and functional brain network features for classification of epilepsy and PNES

AU - Ahmadi, Negar

N1 - Proefschrift

PY - 2019/11/19

Y1 - 2019/11/19

M3 - Phd Thesis 1 (Research TU/e / Graduation TU/e)

SN - 978-90-386-4892-7

T3 - SIKS Dissertation Series

PB - Technische Universiteit Eindhoven

CY - Eindhoven

ER -

Ahmadi N. EEG microstate and functional brain network features for classification of epilepsy and PNES. Eindhoven: Technische Universiteit Eindhoven, 2019. 211 p. (SIKS Dissertation Series).