Research Output per year
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
Network
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Research Output 2016 2019
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: Thesis › Phd Thesis 1 (Research TU/e / Graduation TU/e)
Open Access
File
1
Citation
(Scopus)
Effect of linear mixing in EEG on synchronization and complex network measures studied using the Kuramoto model
Ahmadi, N., Pei, Y. & Pechenizkiy, M., 15 Apr 2019, In : Physica A: Statistical Mechanics and its Applications. 520, p. 289-308 20 p.Research output: Contribution to journal › Article › Academic › peer-review
Kuramoto Model
electroencephalography
Complex Networks
synchronism
Synchronization
2
Citations
(Scopus)
70
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 journal › Article › Academic › peer-review
Open Access
File
Visibility
time series
Time series
Synchronization
Chaotic systems
1
Citation
(Scopus)
59
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 proceeding › Conference contribution › Academic › peer-review
Open Access
File
Electroencephalography
Seizures
Classifiers
Entropy
Epilepsy
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 proceeding › Conference contribution › Academic › peer-review
Electroencephalography
Feature extraction
Brain
Fractal dimension
Classifiers