Design and Optimization of an EEG-Based Brain Machine Interface (BMI) to an Upper-Limb Exoskeleton for Stroke Survivors.

Autor: Bhagat NA; Non-Invasive Brain Machine Interface Systems Laboratory, Department of Electrical Engineering, University of Houston Houston, TX, USA., Venkatakrishnan A; Non-Invasive Brain Machine Interface Systems Laboratory, Department of Electrical Engineering, University of Houston Houston, TX, USA., Abibullaev B; Non-Invasive Brain Machine Interface Systems Laboratory, Department of Electrical Engineering, University of Houston Houston, TX, USA., Artz EJ; Mechatronics and Haptics Interfaces Laboratory, Department of Mechanical Engineering, Rice University Houston, TX, USA., Yozbatiran N; NeuroRecovery Research Center at TIRR Memorial Hermann and University of Texas Health Sciences Center Houston, TX, USA., Blank AA; Mechatronics and Haptics Interfaces Laboratory, Department of Mechanical Engineering, Rice University Houston, TX, USA., French J; Mechatronics and Haptics Interfaces Laboratory, Department of Mechanical Engineering, Rice University Houston, TX, USA., Karmonik C; Houston Methodist Research Institute Houston, TX, USA., Grossman RG; Houston Methodist Research Institute Houston, TX, USA., O'Malley MK; Mechatronics and Haptics Interfaces Laboratory, Department of Mechanical Engineering, Rice UniversityHouston, TX, USA; NeuroRecovery Research Center at TIRR Memorial Hermann and University of Texas Health Sciences CenterHouston, TX, USA., Francisco GE; NeuroRecovery Research Center at TIRR Memorial Hermann and University of Texas Health Sciences Center Houston, TX, USA., Contreras-Vidal JL; Non-Invasive Brain Machine Interface Systems Laboratory, Department of Electrical Engineering, University of HoustonHouston, TX, USA; Houston Methodist Research InstituteHouston, TX, USA.

Publikováno v: Frontiers in neuroscience [Front Neurosci] 2016 Mar 31; Vol. 10, pp. 122. Date of Electronic Publication: 2016 Mar 31 (Print Publication: 2016).