• 12 Citations
20162019
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Fingerprint Dive into the research topics where Negar Ahmadi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Electroencephalography Engineering & Materials Science
Visibility Engineering & Materials Science
Synchronization Engineering & Materials Science
Brain Engineering & Materials Science
Kuramoto Model Mathematics
electroencephalography Physics & Astronomy
Classifiers Engineering & Materials Science
Complex Networks Mathematics

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Research Output 2016 2019

  • 12 Citations
  • 3 Conference contribution
  • 2 Article
  • 1 Phd Thesis 1 (Research TU/e / Graduation TU/e)

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

Ahmadi, N., 19 Nov 2019, Eindhoven: Technische Universiteit Eindhoven. 211 p.

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

Open Access
File
Kuramoto Model
electroencephalography
Complex Networks
synchronism
Synchronization
2 Citations (Scopus)
66 Downloads (Pure)

Assessment of visibility graph similarity as a synchronization measure for chaotic, noisy and stochastic time series

Ahmadi, N., Besseling, R. M. H. & Pechenizkiy, M., 1 Dec 2018, In : Social Network Analysis and Mining. 8, 1, 17 p., 47.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Visibility
time series
Time series
Synchronization
Chaotic systems
1 Citation (Scopus)
55 Downloads (Pure)

Finding predictive EEG complexity features for classification of epileptic and psychogenic nonepileptic seizures using imperialist competitive algorithm

Ahmadi, N., Carrette, E., Aldenkamp, A. P. & Pechenizkiy, M., 20 Jul 2018, Proceedings - 31st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2018. Piscataway: Institute of Electrical and Electronics Engineers, p. 164-169 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File
Electroencephalography
Seizures
Classifiers
Entropy
Epilepsy
5 Citations (Scopus)

Detection of alcoholism based on EEG signals and functional brain network features extraction

Ahmadi, N., Pei, Y. & Pechenizkiy, M., 2017, 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS), 22-24 June 2017, Thessaloniki, Greece. Piscataway: Institute of Electrical and Electronics Engineers, p. 179-184 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Electroencephalography
Feature extraction
Brain
Fractal dimension
Classifiers