| |
Brain-Computer Interfaces
& Neuroprostheses |
|
|
|
 |
Abstract |
 |
|
|
| By modulating changes in their electroencephalographic (EEG) activity, BCI users have demonstrated two-dimensional cursor control and the ability to type out messages on a virtual keyboard. Our work looks at how an EEG-based BCI can also lead to effective closed-loop neural control of advanced prosthetic devices.Our EEG-based BCI uses motor imagery (i.e. imagined motor movements), which result in an event-related desynchronization (ERD) in spectral power over the Mu band (8-12 Hz) over the sensorimotor cortex. |
|
|
|
| |
 |
Subjects learn to modulate their Mu-band power to create a 1-D control signal, and can voluntarily use left hand motor imagery to open the prosthetic hand, right hand motor imagery to close the prosthetic hand, and relaxation to keep the hand still. |
|
| |
|
Due to the low-bandwith and high-latency limitations of most EEG-based BCIs, it is difficult to perform complex tasks in an intuitive manner. To that extent, we investigate the effects of incorporating visual and vibrotactile haptic feedback to improve user perception and modulation of force. Autonomous grasping of various objects using force and proprioceptive feedback, combined with a context-sensitive control strategy, are employed to provide reliable control of a prosthetic hand. |
| |
| |
| An electroencephalogram (EEG)-based motor imagery BCI is used to control movement of an Otto Bock prosthetic hand. The hand was instrumented with force and angle sensors to provide hfptic feedback and local machine control. Using this system, subjects demonstrated the ability to control the prosthetic’s grasping force with accuracy comparable to an EMG-based control scheme. |
|
| |
|
We also investigate different paradigms to improve training for new subjects, advanced signal processing techniques for improved real-time control, and the effects of competitive elements using a Brain2Brain BCI gaming platform. |
| |
|
Researchers |
|
|
|
Soumyadipta Acharya, MD, MSE
Vikram Aggarwal, MSE
Aniruddha Chatterjee, MSE
|
| |
|
Collaborators |
|
|
|
Dankmeyer Orthotics and Prosthetics
Martin Bionics, LLC (acquired by OrthoCare Innovations, LLC)
|
| |
|
Funding |
|
|
|
Defense Advanced Project and Research Agency (DARPA) - contract N66001-06-C-8005
|
| |
|
Publications |
|
|
|
Chatterjee A, Aggarwal V, Ramos A, Acharya S, Thakor NV, A brain-computer interface with vibrotactile biofeedback for haptic information, J Neuroeng Rehabil, 4(40), 2007
Ramos Murguialday A, Aggarwal V, Chatterjee A, Cho Y, Rasmussen R, O’Rourke B, Acharya S, Thakor NV, Brain-Computer Interface for a prosthetic hand using local machine control and haptic feedback, Conf Proc Int Conf on Rehab Robotic, 1:609-613, 2007
Chatterjee A, Aggarwal V, Ramos A, Acharya S, Thakor NV, Operation of a Brain-Computer Interface using vibrotactile biofeedback, Conf Proc IEEE Eng Med Biol Soc on Neural Eng, 1:171-174, 2007 |
| |
|
| |
|
|
