NDLI: Cortical response to psycho-physiological changes in auto-adaptive robot assisted gait training

Content Provider	IEEE Xplore Digital Library
Author	Jelinek, H.F. August, K.G. Imam, M.H. Khandoker, A.H. Koenig, A. Riener, R.
Copyright Year	2011
Description	Author affiliation: Department of Electrical & Electronic Engineering, The University of Melbourne, Melbourne, VIC 3010, Australia (Imam, M.H.; Khandoker, A.H.) \|\| Sensory-Motor Systems Lab, Department of Mechanical Engineering and Process Engineering, ETH Zurich, Switzerland and Spinal Cord Injury Center, Balgrist University Hospital, University Zurich, Switzerland (Koenig, A.; Riener, R.) \|\| Institute of Neuroinformatics, Department of Physics, University of Zurich, ETH Zurich, Switzerland (August, K.G.) \|\| School of Community Health, Charles Sturt University, Albury, New South Wales, Australia (Jelinek, H.F.)
Abstract	Robot-assisted treadmill training improves motor function and walking ability in neurologically impaired patients. However, despite attention having been shown to play a role in training success, psychological responsiveness to task difficulty and motivational levels at task onset have not been measured. Seven healthy subjects participated in a robot-assist treadmill training task. Subjects engaged in a virtual task with varying difficulty levels that was shown to induce a feeling of being bored, excited and over-stressed. The participants' mental engagement was measured using the ECG-based heart rate variability in real time, during gait training as a proxy for EEG and psychological test batteries. Heart rate variability (HRV), which has been shown to reflect cortical engagement for both cognitive and physical tasks, was measured using nonlinear measures obtained from the Poincaré plot. We show that the cortical response to the task measured with HRV varies in relation to the level of mental engagement in response to the difficulty level of the virtual task. From these results we propose that nonlinear measures quantify cortical response / motivational level to robot-assist motor learning tasks and that the adaptation to the task is dependent on the level of motivation.
Starting Page	7409
Ending Page	7412
File Size	297333
Page Count	4
File Format	PDF
ISBN	9781424441211
ISSN	1557170X
e-ISBN	9781457715891
e-ISBN	9781424441228
DOI	10.1109/IEMBS.2011.6091725
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heart rate variability Legged locomotion Training Physiology Psychology Educational institutions
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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