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2020 – today
- 2024
[j13]Javid Farhadi Sedehi, Nader Jafarnia Dabanloo
, Keivan Maghooli, Ali Sheikhani:
Recognition of Emotional Categories Using Mined Fuzzy Rules From Electroencephalogram Signals With Gated Eye Track Data Approach. IEEE Access 12: 118122-118140 (2024)- [j12]Mohammad Mahdi Moeini Kouchaksaraei, Fereidoun Nowshiravan Rahatabad, Ali Sheikhani:
Effects of tDCS and tRNS in two electrode placement methods on the excitability of basal ganglia cells in Parkinson's disease compared to DBS. Biomed. Signal Process. Control. 95: 106340 (2024) - 2023
- [j11]Behrouz Moradhasel, Ali Sheikhani, Oldooz Aloosh, Nader Jafarnia Dabanloo:
Spectrogram classification of patient chin electromyography based on deep learning: A novel method for accurate diagnosis obstructive sleep apnea. Biomed. Signal Process. Control. 79(Part): 104215 (2023) - 2022
- [j10]Fatemeh Mohammadi, Ali Sheikhani, Farbod Razzazi, Alireza Ghorbani Sharif:
Corrigendum to "Non- invasive Localization of the Ectopic Foci of Focal Atrial Tachycardia by Using ECG Signal based Sparse Decomposition Algorithm". Biomed. Signal Process. Control. 71(Part): 103179 (2022) - [j9]Hadi Akbari, Ali Sheikhani, Ali Motie Nasrabadi, Mohammad Reza Mohammadi, Majid Ghoshuni:
Evaluating the event-related potentials relevant to two groups of the Quran memorizers and non-memorizers during the retrieval phase of the visual memory. Biomed. Signal Process. Control. 73: 103411 (2022) - [j8]Vahid khodadadi, Fereidoon Nowshiravan Rahatabad, Ali Sheikhani, Nader Jafarnia Dabanloo:
A chaotic neural network model for biceps muscle based on Rossler stimulation equation and bifurcation diagram. Biomed. Signal Process. Control. 78: 103852 (2022) - 2021
- [j7]Farnaz Panahi, Saeid Rashidi, Ali Sheikhani:
Application of fractional Fourier transform in feature extraction from ELECTROCARDIOGRAM and GALVANIC SKIN RESPONSE for emotion recognition. Biomed. Signal Process. Control. 69: 102863 (2021) - [j6]Yashar Taghizadegan, Nader Jafarnia Dabanloo, Keivan Maghooli, Ali Sheikhani:
Obstructive sleep apnea event prediction using recurrence plots and convolutional neural networks (RP-CNNs) from polysomnographic signals. Biomed. Signal Process. Control. 69: 102928 (2021) - [j5]Fatemeh Mohammadi, Ali Sheikhani, Farbod Razzazi, Alireza Ghorbani Sharif:
Non-invasive localization of the ectopic foci of focal atrial tachycardia by using ECG signal based sparse decomposition algorithm. Biomed. Signal Process. Control. 70: 103014 (2021)
2010 – 2019
- 2018
- [j4]Elham Askari, Seyed Kamaledin Setarehdan, Ali Sheikhani, Mohammad Reza Mohammadi, Mohammad Teshnehlab:
Modeling the connections of brain regions in children with autism using cellular neural networks and electroencephalography analysis. Artif. Intell. Medicine 89: 40-50 (2018) - [j3]Aminollah Golrou, Ali Sheikhani, Ali Motie Nasrabadi, Mohammad Reza Saebipour:
Detecting slow wave sleep and rapid eye movement stage using cortical effective connectivity. Turkish J. Electr. Eng. Comput. Sci. 26(5): 2779-2792 (2018) - 2017
- [j2]Ghasem Sadeghi Bajestani, Mohammad Reza Hashemi Golpayegani, Ali Sheikhani, Farah Ashrafzadeh:
Poincaré section analysis of the electroencephalogram in autism spectrum disorder using complement plots. Kybernetes 46(2): 364-382 (2017) - [c3]Zahra Rezazadeh, Ali Sheikhani:
An SSVEP-Based Brain-Computer Interface to Navigate in a Virtual Home. ICBBB 2017: 22-27 - 2012
- [j1]Ali Sheikhani, Hamid Behnam, Mohammad Reza Mohammadi, Maryam Noroozian, Mohammad Mohammadi:
Detection of Abnormalities for Diagnosing of Children with Autism Disorders Using of Quantitative Electroencephalography Analysis. J. Medical Syst. 36(2): 957-963 (2012)
2000 – 2009
- 2008
- [c2]Hamid Behnam, Ali Sheikhani, Mohammad Reza Mohammadi, Maryam Noroozian, Pari Golabi:
Abnormalities in Connectivity of Quantitative Electroencephalogram Background Activity in Asperger Disorders with Short Time Fourier Transform and Coherence Values. UKSim 2008: 76-81 - [c1]Hamid Behnam, Ali Sheikhani, Mohammad Reza Mohammadi, Maryam Noroozian, Pari Golabi:
Abnormalities in Connectivity of Quantitative Electroencephalogram Background Activity in Autism Disorders especially in Left Hemisphere and Right Temporal. UKSim 2008: 82-87
Coauthor Index
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