Title :
Detection of User Intent in Neurorehablitation Using a Commercial EEG Headset
Author :
Mishra, Anadi ; Foulds, Richard
Author_Institution :
Dept. of Biomed. Eng., New Jersey Inst. of Technol. Univ. Heights, Newark, NJ, USA
Abstract :
Neurorehabilitation has recently been augmented with the use of virtual reality and rehabilitation robotics. In each case a necessary condition for success is the linkage of user intent to the interventions. In many systems, some known volitional control must exist in order to synchronize the user intended movement with the therapeutic virtual or robotic movement. Individuals without such residual movements are unable to fully benefit from these therapies. This project demonstrates the feasibility of using a low cost, commercial EEG system with BCI2000 software [3] to access the imagined movement without the need for physical movement.
Keywords :
electroencephalography; medical robotics; motion control; neurophysiology; patient rehabilitation; synchronisation; virtual reality; BCI2000 software; commercial EEG Headset; neurorehabilitation; rehabilitation robotics; robotic movement; synchronization; therapeutic virtual movement; user intended movement; user intent detection; virtual reality; volitional control; Biomedical engineering; Electroencephalography; Headphones; Medical treatment; Robots; Synchronization; Training; Brain Computer Interface; Emotiv; Motor Cortex; Motor Imagination; User Intent;
Conference_Titel :
Bioengineering Conference (NEBEC), 2013 39th Annual Northeast
Conference_Location :
Syracuse, NY
Print_ISBN :
978-1-4673-4928-4
DOI :
10.1109/NEBEC.2013.14