M. Raheel Bhutta

Papers

Total Citations

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About

M. Raheel Bhutta is a researcher whose work lies at the intersection of brain-computer interfaces (BCI) and rehabilitation robotics, with a particular focus on hybrid neuroimaging techniques. His key research areas include motor imagery (MI) detection, electroencephalography (EEG), and functional near-infrared spectroscopy (fNIRS). In his highly cited 2015 study, Bhutta pioneered the use of a hybrid EEG-NIRS system to evaluate motor imagery performance before and after training with a rehabilitation robot. This work demonstrated how combining these two modalities can more accurately detect neural activity associated with imagined movements, offering a robust framework for non-invasive BCI control. With 6 citations, this paper has become a foundational reference for researchers seeking to improve BCI reliability in clinical and assistive settings. Bhutta’s contributions are particularly notable for bridging the gap between neurofeedback and robotic rehabilitation, showing how real-time brain signals can guide motor recovery. His research continues to inform the development of more intuitive, adaptive BCI systems for individuals with motor impairments, making him a key figure in advancing practical, hybrid neurotechnology.