Volume 17 (2023)
Volume 16 (2022)
Volume 15 (2021)
Volume 14 (2020)
Volume 13 (2019)
Volume 12 (2018)
Volume 11 (2017)
Volume 10 (2016)
Volume 9 (2015)
Volume 8 (2014)
Volume 7 (2013)
Volume 6 (2012)
Volume 5 (2011)
Volume 4 (2010)
Volume 3 (2009)
Volume 2 (2008)
Volume 1 (2007)
Volume -2 (2005)
Volume -1 (2004)
Effects of Transcranial Direct Current Stimulation (tDCS) on Cortical Activity: Neuron-Astrocyte Computational Modeling Study

Maryam Saidi; Seyed Mohammad Firoozabadi

Volume 13, Issue 4 , December 2019, , Pages 303-314

  Transcranial Direct Current Stimulation (tDCS) is a non-invasive brain stimulation technique that is affordable and easy to operate compared to other neuromodulation techniques. Despite this method is promising in treating neurological diseases and enhancing cognitive functions, the precise mechanism ...  Read More

Biomedical Signal Processing / Medical Signal Processing / Biosignal Processing
Brain Tumor Detection Using Electroencephalogram Linear and Non-Linear Features

Zahra Tabanfar; Seyed Mohammad Firouzabadi; Zeynab Shankaei; Giv Sharifi; Kambiz Novin; Anahita Zoghi

Volume 10, Issue 3 , October 2016, , Pages 211-221

  In this research, we analyzed the EEG signals of patients with brain tumor and healthy participants in order to study the effects of brain tumor on brain signals and also the feasibility of brain tumor detection using EEG signals. For this reason, EEG signals of four channel F3, F4, T3 and T4 from 5 ...  Read More

Neuro-Muscular Engineering
Simulation of Gait Locomotion for Hemiplegia and Paraplegia Patients Using Neuromusculoskeletal Systems

Mohsen Abedi; Majid Mohammadi Moghaddam; Mohammad Firoozabadi

Volume 9, Issue 1 , April 2015, , Pages 33-48

  In this paper the simulation of pathological behavior in gait locomotion of central nervous system (CNS) diseases and effects of rehabilitation techniques are investigated. These simulations noticeably deepen the knowledge of researches in neurorehabilitation realm about the neuroscientific basis of ...  Read More

Biomedical Signal Processing / Medical Signal Processing / Biosignal Processing
Identification of Imagery Based Affective States using Decision Level Fusion of Multimodal Physiological Signals

Mahdi Khezri; Seyed Mohammad Firoozabadi; Seyed Ahmad Reza Sharafat

Volume 8, Issue 4 , February 2015, , Pages 339-358

  In this study, we propose decision level fusion of multimodal physiological signals to design an affect identification system using the MIT database. Four types of physiological signals, including blood volume pressure (BVP), respiration rate (RSP), skin conductance and facial muscles activities (fEMG) ...  Read More

Biomedical Signal Processing / Medical Signal Processing / Biosignal Processing
Empirical mode decomposition-based elimination of Electrocardiogram artifact from Electromyogram signals

Mohsen Naji; Seyed Mohammad Firouzabadi; Sedighe Kahrizi

Volume 7, Issue 1 , June 2013, , Pages 13-20

  The collected electromyogram (EMG) signals from trunk musculature (e.g., rectus abdominis and external oblique muscle) are often contaminated with the heart muscle electrical activity (ECG). This paper introduces a novel method, the Empirical Mode Decomposition, for elimination of ECG contamination from ...  Read More

Biomedical Signal Processing / Medical Signal Processing / Biosignal Processing
Investigation and Classification of EEG Signals Related to Artists and Nonartists During Visual Perception, Mental Imagery and Rest Using Scaling Exponent

Nasrin Shourie; Seyed Mohammad Firouzabadi; Kambiz Badie

Volume 7, Issue 4 , June 2013, , Pages 321-331

  In this article, differences between multichannel EEG signals of artists and nonartists were investigated during visual perception and mental imagery of some paintings and at resting condition using scaling exponent. It was found that scaling exponent is significantly higher for artists as compared to ...  Read More

Biomedical Signal Processing / Medical Signal Processing / Biosignal Processing
Investigation of Positive, Negative and Neutral Emotion’s determinism through EEG signal processing in extracted component of ICA

Mehdi Abdossalehi; Ali Motie Nasrabadi; Seyed Mohammad Firouzabadi

Volume 7, Issue 2 , June 2013, , Pages 143-153

  In this study, electroencephalogram (EEG) signals have been analyzed in positive, negative and neutral emotions. Here it is supposed that the brain has different independent sources during an emotional activity which will be extractable by Independent Component Analysis (ICA) algorithm. For resolving ...  Read More

The effect of ELF Magnetic fields on Nonlinear features of Helix Aspersa’s Neurons

Hadi Tavakoli; Ali Motie Nasrabadi; Seyed Mohammad Firouzabadi; Mehri Kaviyani Moghaddam

Volume 6, Issue 2 , June 2012, , Pages 123-131

  During recent years, the environment has been enormously changed by the wide range of magnetic fields. Therefore, comprehensive studies are being done for investigating their biological effects. The effects such as inhibition of bioelectric activity of neurons which is shown by evidence, like decreasing ...  Read More

Biological Computer Modeling / Biological Computer Simulation
The Cybernetical Model Of Pain And State-Dependent Sensory Processing In The Dorsal Horn Of The Spinal Cord

Siamak Haghipour; Seyed Mohammad Reza Hashemi Golpayegani; Seyed Mohammad Firouzabadi; Sirous Momenzadeh

Volume 3, Issue 3 , June 2009, , Pages 227-241

  The procedure of pain formation embarks on primary sensory neurons and then ends in central nervous system which is the first stage in the dorsal horn of the spinal cord. Nowadays the great challenge of some researchers for pain control has been to elucidate the mechanisms that are able to switch the ...  Read More

Biomedical Signal Processing / Medical Signal Processing / Biosignal Processing
Surface Electromyogram Signal Classification Using Higher Order Statistics

Kianoush Nazarpour; Ahmad Reza Sharafat; Seyed Mohammad Firouzabadi

Volume 1, Issue 3 , June 2007, , Pages 189-199

  A novel approach to surface electromyogram (sEMG) signal classification using its higher order statistics (HOS) is presented in this study. As the probability density function of the sEMG during isometric contraction in some cases is very close to the Gaussian distribution, it is frequently assumed to ...  Read More

A New Method For Selective Stimulation In Cochlear Implant Using Non-Simultaneous Multi Electrode Stimulation

Hamed Sajedi; Seyed Ahmad Motamedi; Seyed Mohammad Firouzabadi

Volume -1, Issue 1 , June 2004, , Pages 3-14

  Auditory nerve fibers stimulating using electrical current with implanted electrodes are the basis of cochlear implant system. Therefore, expansion of current spread in volume conductor will change the electrical potential in a larger region. This expansion causes larger region stimulation and decreases ...  Read More

Neuro-Muscular Engineering
Effects Of Depolarizing Prepulses With Different Parameters On The Selective Stimulation Of Myelinated Fibers And Suggestion Of A New Prepulse Waveform With Superior Performance Based On Simulation Of

Amin Mahnam; Seyed Mohammad Firouzabadi; Seyed Mohammad Reza Hashemi Golpayegani

Volume -1, Issue 1 , June 2004, , Pages 65-76

  In recent years, various methods have been suggested to improve selectivity in electrical stimulation of neural fibers or cells. One of these methods is the use of depolarizing under-threshold prepulse to selectively stimulate fibers far from the electrode, without excitation of nearer fibers. In this ...  Read More