5 citations · 10 across the 13 of their papers we have counts for
14 papers
Graph Bispectrum for Nonlinear Mode Interactions
Rahul Singh, Reza Abiri, Walter Besio
We introduce a graph bispectrum formulation for characterizing higher-order interactions in graph signals. While conventional graph spectral methods capture only second-order struc…
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…
Learning Multimodal AI Algorithms for Amplifying Limited User Input into High-dimensional Control Space
Ali Rabiee, Sima Ghafoori, MH Farhadi +5
Current invasive assistive technologies are designed to infer high-dimensional motor control signals from severely paralyzed patients. However, they face significant challenges, in…
STREAMS: An Assistive Multimodal AI Framework for Empowering Biosignal Based Robotic Controls
Ali Rabiee, Sima Ghafoori, Xiangyu Bai +2
End-effector based assistive robots face persistent challenges in generating smooth and robust trajectories when controlled by human's noisy and unreliable biosignals such as muscl…
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…
Precision Enhancement in Sustained Visual Attention Training Platforms: Offline EEG Signal Analysis for Classifier Fine-Tuning
Maryam Norouzi, Mohammad Zaeri Amirani, Yalda Shahriari +1
In this study, a novel open-source brain-computer interface (BCI) platform was developed to decode scalp electroencephalography (EEG) signals associated with sustained attention. T…
A novel seamless magnetic-based actuating mechanism for end-effector-based robotic rehabilitation platforms
Sima Ghafoori, Ali Rabiee, Maryam Norouzi +2
Rehabilitation robotics continues to confront substantial challenges, particularly in achieving smooth, safe, and intuitive human-robot interactions for upper limb motor training.…
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…