Achromatic Induction of Contrast Threshold in Spatial Frequency Modulation. - Ebrahim Jafarzadehpur; Seyed Mohammad P. Firoozabadi; Bijan Hashemi; Seyed Masoud M. Shushtarian; Anoshirvan Kazemnezhad (CGIV, 2004)

A New Approach for EMG Decomposition Based on Overlaps Solution. - E. Zarei; Keivan Maghooli; Seyed Mohammad P. Firoozabadi (DSP, 2007)

Application of Higher Order Statistics to Surface Electromyogram Signal Classification. - Kianoush Nazarpour; Ahmad R. Sharafat; Seyed Mohammad P. Firoozabadi (IEEE Trans. Biomed. Eng., 2007)

On the discrimination of patho-physiological states in epilepsy by means of dynamical measures. - Somayeh Raiesdana; Seyed Mohammad Reza Hashemi Golpayegani; Seyed Mohammad P. Firoozabadi; Jafar Mehvari Habibabadi (Comput. Biol. Medicine, 2009)

Controlling a virtual forehand prosthesis using an adaptive and affective Human-Machine Interface. - Iman Mohammad Rezazadeh; Seyed Mohammad P. Firoozabadi; Seyed Mohammad Reza Hashemi Golpayegani; Huosheng Hu (EMBC, 2011)

An evolutionary network model of epileptic phenomena. - Somayeh Raiesdana; Seyed Mohammad P. Firoozabadi; S. Mohammad Hashemi Goplayegani (Neurocomputing, 2011)

Emotion classification based on forehead biosignals using support vector machines in music listening. - Mohsen Naji; Mohammad Firoozabadi 001; Parviz Azadfallah (BIBE, 2012)

Evaluating nonlinear variability of mental fatigue behavioral indices during long-term attentive task. - Mahdi Azarnoosh; Ali Motie Nasrabadi; Mohammad Reza Mohammadi; Mohammad Firoozabadi 001 (Complex., 2012)

Co-Adaptive and Affective Human-Machine Interface for Improving Training Performances of Virtual Myoelectric Forearm Prosthesis. - Iman Mohammad Rezazadeh; Seyed Mohammad P. Firoozabadi; Huosheng Hu; Seyed Mohammad Reza Hashemi Golpayegani (IEEE Trans. Affect. Comput., 2012)

Variation of wavelet entropy in electroencephalogram signal during neurofeedback training. - Majid Ghoshuni; Mohammad Firoozabadi 001; Mohammad Ali Khalilzadeh; Mohammad Reza Hashemi Golpayegani (Complex., 2013)

A new information fusion approach for recognition of music-induced emotions. - Mohsen Naji; Mohammad Firoozabadi 001; Parviz Azadfallah (BHI, 2014)

Classification of Music-Induced Emotions Based on Information Fusion of Forehead Biosignals and Electrocardiogram. - Mohsen Naji; Mohammad Firoozabadi 001; Parviz Azadfallah (Cogn. Comput., 2014)

Reliable emotion recognition system based on dynamic adaptive fusion of forehead biopotentials and physiological signals. - Mahdi Khezri; Seyed Mohammad P. Firoozabadi; Ahmad-Reza Sharafat (Comput. Methods Programs Biomed., 2015)

Emotion classification during music listening from forehead biosignals. - Mohsen Naji; Mohammad Firoozabadi 001; Parviz Azadfallah (Signal Image Video Process., 2015)

Neurofeedback training protocols based on spectral EEG feature subset and channel selection for performance enhancement of novice visual artists. - Nasrin Shourie; Seyed Mohammad P. Firoozabadi; Kambiz Badie (Biomed. Signal Process. Control., 2018)

Fuzzy adaptive neurofeedback training: An efficient neurofeedback training procedure providing a more accurate progress rate for trainee. - Nasrin Shourie; Seyed Mohammad P. Firoozabadi; Kambiz Badie (Biomed. Signal Process. Control., 2018)

User preferences for adaptive user interfaces in health information systems. - Mahboubeh Eslami; Mohammad Firoozabadi 001; Elaheh Homayounvala (Univers. Access Inf. Soc., 2018)

Neurofeedback training protocols based on selecting distinctive features and identifying appropriate channels to enhance performance in novice visual artists. - Nasrin Sho'ouri; Mohammad Firoozabadi 001; Kambiz Badie (Biomed. Signal Process. Control., 2019)

The effect of beta/alpha neurofeedback training on imitating brain activity patterns in visual artists. - Nasrin Sho'ouri; Mohammad Firoozabadi 001; Kambiz Badie (Biomed. Signal Process. Control., 2020)

An EEG channel selection method for motor imagery based brain-computer interface and neurofeedback using Granger causality. - Hesam Varsehi; Seyed Mohammad P. Firoozabadi (Neural Networks, 2021)

Screening of Brain Tumors Using Functional Connectivity Patterns of Steady-State Visually Evoked Potentials. - Zahra Tabanfar; Mohammad Firoozabadi 001; Zeinab Shankayi; Guive Sharifi (Brain Connect., 2022)