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20242026
most citedWavelet Analysis of Noninvasive EEG Signals Discriminates Complex and Natural Grasp Types

5 citations · 8 across the 8 of their papers we have counts for

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cs.RO2024

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…

eess.SP2024

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…

eess.SP2024★ 2 cited

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…

eess.SP2024★ 5 cited

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…

eess.SP2024★ 1 cited

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…