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Hesam Akbari
Hesam Akbari
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Title
Cited by
Cited by
Year
Classification of normal and depressed EEG signals based on centered correntropy of rhythms in empirical wavelet transform domain
H Akbari, MT Sadiq, AU Rehman
Health Information Science and Systems 9, 1-15, 2021
692021
Depression recognition based on the reconstruction of phase space of EEG signals and geometrical features
H Akbari, MT Sadiq, AU Rehman, M Ghazvini, RA Naqvi, M Payan, ...
Applied Acoustics 179, 108078, 2021
662021
Schizophrenia recognition based on the phase space dynamic of EEG signals and graphical features
H Akbari, S Ghofrani, P Zakalvand, MT Sadiq
Biomedical Signal Processing and Control 69, 102917, 2021
642021
Depression Detection Based on Geometrical Features Extracted from SODP Shape of EEG Signals and Binary PSO
H Akbari, MT Sadiq, M Payan, SS Esmaili, H Baghri, H Bagheri
Traitement du Signal 38 (1), 13-26, 2021
502021
Alcoholic EEG signals recognition based on phase space dynamic and geometrical features
MT Sadiq, H Akbari, S Siuly, Y Li, P Wen
Chaos, Solitons & Fractals 158, 112036, 2022
372022
Exploiting feature selection and neural network techniques for identification of focal and nonfocal EEG signals in TQWT domain
MT Sadiq, H Akbari, AU Rehman, Z Nishtar, B Masood, M Ghazvini, J Too, ...
Journal of Healthcare Engineering 2021, 2021
272021
Detection of focal and non-focal EEG signals using non-linear features derived from empirical wavelet transform rhythms
H Akbari, MT Sadiq
Physical and Engineering Sciences in Medicine, 1-15, 2021
252021
Recognizing seizure using Poincaré plot of EEG signals and graphical features in DWT domain
H Akbari, MT Sadiq, N Jafari, TOO Jingwei, N Mikaeilvand, A Cicone, ...
Bratislava Medical Journal/Bratislavske Lekarske Listy 124 (1), 2023
232023
Fast and Accurate Classification F and NF EEG by Using SODP and EWT
H Akbari, S Ghofrani
International Journal of Image, Graphics and Signal Processing (IJIGSP) 11 …, 2019
192019
A novel computer-aided diagnosis framework for EEG-based identification of neural diseases
MT Sadiq, H Akbari, S Siuly, A Yousaf, AU Rehman
Computers in Biology and Medicine 138, 104922, 2021
182021
Detection of seizure EEG signals based on reconstructed phase space of rhythms in EWT domain and genetic algorithm
H Akbari, S Saraf Esmaili, S Farzollah Zadeh
Signal Processing and Renewable Energy 4 (2), 23-36, 2020
172020
A Novel Geometrical Method for Discrimination of Normal, Interictal and Ictal EEG Signals
H Akbari, SS Esmaili
Traitement du Signal 37 (1), 59-68, 2020
162020
Comparing nonlinear features extracted in EEMD for discriminating focal and non-focal EEG signals
S Ghofrani, H Akbari
Tenth International Conference on Signal Processing Systems 11071, 1107106, 2019
132019
An automatic scheme with diagnostic index for identification of normal and depression EEG signals
H Akbari, MT Sadiq, S Siuly, Y Li, P Wen
Health Information Science: 10th International Conference, HIS 2021 …, 2021
82021
Identification of normal and depression EEG signals in variational mode decomposition domain
H Akbari, MT Sadiq, S Siuly, Y Li, P Wen
Health Information Science and Systems 10 (1), 24, 2022
72022
Retinal blood vessel segmentation using gabor filter and morphological reconstruction
A Isavand Rahmani, H Akbari, S Saraf Esmaili
Signal Processing and Renewable Energy 4 (1), 77-88, 2020
52020
Fractional Fourier transform aided computerized framework for alcoholism identification in EEG
MT Sadiq, H Akbari, S Siuly, Y Li, P Wen
International Conference on Health Information Science, 100-112, 2022
22022
Hybrid Generalized Normal Distribution Optimization with Sine Cosine Algorithm for Global Optimization
J Too, AS Sadiq, H Akbari, GR Mong, S Mirjalili
Proceedings of 7th International Conference on Harmony Search, Soft …, 2022
12022
Early Detection of Depression and Alcoholism Disorders by EEG Signal
H Akbari, W Korani
International Conference on Neural Information Processing, 439-452, 2023
2023
Automatic detection of Parkinson's disease using non-linear signal decomposition and machine learning techniques
SGR Smith K. Khare, Nikhil B. Gaikwad, Akbari Hesam, Bajaj Varun
Cognitive Sensing Technologies and Applications, 2023
2023
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