closed loop systems

Detecting movement intent from scalp EEG in a novel upper limb robotic rehabilitation system for stroke

Submitted by Jeremy Cotton on Mon, 03/12/2018 - 09:34

N. A. Bhagat, French, J., Venkatakrishnan, A., Yozbatiran, N., Francisco, G. E., O'Malley, M. K., and Contreras-Vidal, J. L., “Detecting movement intent from scalp EEG in a novel upper limb robotic rehabilitation system for stroke”, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2014.

Improving robotic stroke rehabilitation by incorporating neural intent detection: Preliminary results from a clinical trial

Submitted by Jenny Sullivan on Wed, 09/20/2017 - 09:32

J. L. Sullivan, Bhagat, N. A., Yozbatiran, N., Paranjape, R., Losey, C. G., Grossman, R. G., Contreras-Vidal, J. L., Francisco, G. E., and O'Malley, M. K., “Improving robotic stroke rehabilitation by incorporating neural intent detection: Preliminary results from a clinical trial”, International Conference on Rehabilitation Robotics (ICORR). IEEE, London, UK, 2017.

System characterization of RiceWrist-S: A forearm-wrist exoskeleton for upper extremity rehabilitation

Submitted by Marcia O'Malley on Thu, 01/30/2014 - 17:28

A. Utku Pehlivan, Rose, C. G., and O'Malley, M. K., “System characterization of RiceWrist-S: A forearm-wrist exoskeleton for upper extremity rehabilitation”, Rehabilitation Robotics (ICORR), 2013 IEEE International Conference on. 2013.