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
Recent external collaboration on country level. Dive into details by clicking on the dots.
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
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)
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 journal › Article › Academic › peer-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 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