TY - GEN
T1 - A translational roadmap for a brain-machine-interface (BMI) system for rehabilitation
AU - Craik, Alexander
AU - Kilicarslan, Atilla
AU - Contreras-Vidal, Jose L.
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - In this communication, a translational roadmap for a noninvasive Brain Machine Interface (BMI) system for rehabilitation is presented. This multi-faceted project addresses important engineering, clinical, end user and regulatory challenges. The goal is to improve the feasibility of at-home neurorehabilitation for patients with chronic stroke by providing a low-cost, portable, form fitting, reliable, and easy-to-use system. The proposed BMI system is also designed to enable direct communication between the end-user and clinician, allowing for continuous patient specific rehabilitation optimization.
AB - In this communication, a translational roadmap for a noninvasive Brain Machine Interface (BMI) system for rehabilitation is presented. This multi-faceted project addresses important engineering, clinical, end user and regulatory challenges. The goal is to improve the feasibility of at-home neurorehabilitation for patients with chronic stroke by providing a low-cost, portable, form fitting, reliable, and easy-to-use system. The proposed BMI system is also designed to enable direct communication between the end-user and clinician, allowing for continuous patient specific rehabilitation optimization.
UR - http://www.scopus.com/inward/record.url?scp=85076775907&partnerID=8YFLogxK
U2 - 10.1109/SMC.2019.8914210
DO - 10.1109/SMC.2019.8914210
M3 - Conference contribution
AN - SCOPUS:85076775907
T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
SP - 3613
EP - 3618
BT - 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019
Y2 - 6 October 2019 through 9 October 2019
ER -