Artifacts removal in EEG signal using a new neural network enhanced adaptive filter. - Aysa Jafarifarmand; Mohammad Ali Badamchizadeh (Neurocomputing, 2013)

Evaluation criteria of biological artifacts removal rate from EEG signals. - Aysa Jafarifarmand; Mohammad Ali Badamchizadeh; Hadi Seyedarabi (ISIE, 2014)

Real-time ocular artifacts removal of EEG data using a hybrid ICA-ANC approach. - Aysa Jafarifarmand; Mohammad Ali Badamchizadeh; Sohrab Khanmohammadi; Mohammad Ali Nazari; Behzad Mozaffari Tazehkand (Biomed. Signal Process. Control., 2017)

A New Self-Regulated Neuro-Fuzzy Framework for Classification of EEG Signals in Motor Imagery BCI. - Aysa Jafarifarmand; Mohammad Ali Badamchizadeh; Sohrab Khanmohammadi; Mohammad Ali Nazari; Behzad Mozaffari Tazehkand (IEEE Trans. Fuzzy Syst., 2018)

Prediction of Motor Imagery Performance based on Pre-Trial Spatio-Spectral Alertness Features. - Mastaneh Torkamani-Azar; Aysa Jafarifarmand; Müjdat Çetin (EMBC, 2020)

Real-time multiclass motor imagery brain-computer interface by modified common spatial patterns and adaptive neuro-fuzzy classifier. - Aysa Jafarifarmand; Mohammad Ali Badamchizadeh (Biomed. Signal Process. Control., 2020)