NDLI: Ankle robotics training with concurrent physiological monitoring in multiple sclerosis: A case report

Content Provider	IEEE Xplore Digital Library
Author	Goodman, R.N. Rietschel, J.C. Roy, A. Balasubramanian, S. Forrester, L.W. Bever, C.T. Krebs, H.I.
Copyright Year	2014
Description	Author affiliation: Dept. of Mech. Eng., MIT, Cambridge, MA, USA (Krebs, H.I.) \|\| Baltimore Veterans Affairs Medican Center (VAMC), Baltimore, MD, USA (Goodman, R.N.; Rietschel, J.C.) \|\| Dept. of Neurology, Univ. of Maryland Baltimore, Baltimore, MD, USA (Roy, A.; Bever, C.T.) \|\| Dept. of Phys. Therapy & Rehabilitation Sci., UMB-SOM, Baltimore, MD, USA (Forrester, L.W.) \|\| UMB-SOM, Baltimore, MD, USA (Balasubramanian, S.)
Abstract	In this paper, we investigate the feasibility of employing robotics, high-density electroencephalography (EEG), and surface electromyography (EMG) for ankle rehabilitation in a subject with multiple sclerosis (MS). A single session of seated, interactive ankle robot (“Anklebot”) training with concurrent 60-channel EEG and 2-channel EMG monitoring was conducted. The task entailed pointing with the ankle while playing a video game that synchronized ankle movements to guide a screen cursor through 560 moving gates. Practice-induced improvements in multiple motor control measures were accompanied by changes in EEG measures of activation and networking, and in EMG measures indicating greater muscle activity. Our results suggest that Anklebot training and concurrent EEG-EMG monitoring is a feasible approach that may be deployed clinically to advance understanding of the neurophysiological mechanisms in motor-learning based recovery in persons with ankle motor deficits secondary to MS and other neurologic injuries.
Starting Page	393
Ending Page	397
File Size	469058
Page Count	5
File Format	PDF
ISBN	9781479931262
ISSN	21551774
e-ISBN	9781479931286
DOI	10.1109/BIOROB.2014.6913808
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-12
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Motor drives Coherence Electroencephalography Electromyography Robots Monitoring
Content Type	Text
Resource Type	Article

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