DocumentCode
140280
Title
An integrated neuro-robotic interface for stroke rehabilitation using the NASA X1 powered lower limb exoskeleton
Author
Yongtian He ; Nathan, Kevin ; Venkatakrishnan, Anusha ; Rovekamp, Roger ; Beck, Christopher ; Ozdemir, Recep ; Francisco, Gerard E. ; Contreras-Vidal, Jose L.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Houston, Houston, TX, USA
fYear
2014
fDate
26-30 Aug. 2014
Firstpage
3985
Lastpage
3988
Abstract
Stroke remains a leading cause of disability, limiting independent ambulation in survivors, and consequently affecting quality of life (QOL). Recent technological advances in neural interfacing with robotic rehabilitation devices are promising in the context of gait rehabilitation. Here, the X1, NASA´s powered robotic lower limb exoskeleton, is introduced as a potential diagnostic, assistive, and therapeutic tool for stroke rehabilitation. Additionally, the feasibility of decoding lower limb joint kinematics and kinetics during walking with the X1 from scalp electroencephalographic (EEG) signals - the first step towards the development of a brain-machine interface (BMI) system to the X1 exoskeleton - is demonstrated.
Keywords
aerospace biophysics; brain-computer interfaces; electroencephalography; electromyography; extraterrestrial life; gait analysis; goniometers; medical robotics; medical signal processing; neurophysiology; patient rehabilitation; BMI; EEG; NASA X1 powered lower limb exoskeleton; QOL; brain-machine interface; gait rehabilitation; lower limb joint kinematics; neural interfacing; neurorobotic interface; quality-of-life; scalp electroencephalographic signals; stroke rehabilitation; walking; Decoding; Electroencephalography; Electromyography; Exoskeletons; Kinematics; Legged locomotion;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location
Chicago, IL
ISSN
1557-170X
Type
conf
DOI
10.1109/EMBC.2014.6944497
Filename
6944497
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