5 citations · 8 across the 8 of their papers we have counts for
9 papers
Cross-Frequency Bispectral EEG Analysis of Reach-to-Grasp Planning and Execution
Sima Ghafoori, Anna Cetera, Ali Rabiee +5
Neural control of grasping arises from nonlinear interactions across multiple brain rhythms, yet EEG-based motor decoding has largely relied on linear, second-order spectral featur…
End-to-end Optimization of Belief and Policy Learning in Shared Autonomy Paradigms
MH Farhadi, Ali Rabiee, Sima Ghafoori +3
Shared autonomy systems require principled methods for inferring user intent and determining appropriate assistance levels. This is a central challenge in human-robot interaction,…
Macroscopic EEG Reveals Discriminative Low-Frequency Oscillations in Plan-to-Grasp Visuomotor Tasks
Anna Cetera, Sima Ghafoori, Ali Rabiee +3
The vision-based grasping brain network integrates visual perception with cognitive and motor processes for visuomotor tasks. While invasive recordings have successfully decoded lo…
Human-Centered Shared Autonomy for Motor Planning, Learning, and Control Applications
MH Farhadi, Ali Rabiee, Sima Ghafoori +3
With recent advancements in AI and computational tools, intelligent paradigms have emerged to enhance fields like shared autonomy and human-machine teaming in healthcare. Advanced…
Toward human-centered shared autonomy AI paradigms for human-robot teaming in healthcare
Reza Abiri, Ali Rabiee, Sima Ghafoori +1
With recent advancements in AI and computation tools, intelligent paradigms emerged to empower different fields such as healthcare robots with new capabilities. Advanced AI robotic…
Classification of Emerging Neural Activity from Planning to Grasp Execution using a Novel EEG-Based BCI Platform
Anna Cetera, Ali Rabiee, Sima Ghafoori +1
There have been different reports of developing Brain-Computer Interface (BCI) platforms to investigate the noninvasive electroencephalography (EEG) signals associated with plan-to…
A Comparative Study of Conventional and Tripolar EEG for High-Performance Reach-to-Grasp BCI Systems
Ali Rabiee, Sima Ghafoori, Anna Cetera +3
This study aims to enhance BCI applications for individuals with motor impairments by comparing the effectiveness of tripolar EEG (tEEG) with conventional EEG. The focus is on inte…
Wavelet Analysis of Noninvasive EEG Signals Discriminates Complex and Natural Grasp Types
Ali Rabiee, Sima Ghafoori, Anna Cetera +1
This research aims to decode hand grasps from Electroencephalograms (EEGs) for dexterous neuroprosthetic development and Brain-Computer Interface (BCI) applications, especially for…
Bispectrum Analysis of Noninvasive EEG Signals Discriminates Complex and Natural Grasp Types
Sima Ghafoori, Ali Rabiee, Anna Cetera +1
The bispectrum stands out as a revolutionary tool in frequency domain analysis, leaping the usual power spectrum by capturing crucial phase information between frequency components…