Event
MS Thesis Defense:Kevin Nathan
Monday, December 3, 2012
11:30 a.m.
Room 2460, AVW Building
Maria Hoo
301 405 3681
mch@umd.edu
Announcement: MS Thesis Defense
Name: Kevin Nathan
Committee:
Professor Jose Contreras-Vidal (Chair)
Professor Shihab Shamma
Professor Dan Butts
Date/Time: December 3, 2012 at 11:30am
Location: Room 2460, AVW Building
Title: Decoding of Walking Kinematics From Non-Invasively Acquired Electroencephalographic Signals in Stroke Patients
Abstract:
Our group has recently shown the feasibility of decoding kinematics of controlled walking from the lower frequency range of electroencephalographic (EEG) signals during a precision walking task. Here, we turn our attention to stroke survivors who have had lesions resulting in hemiparetic gait. We recorded the EEG of stroke recovery patients during a precision treadmill walking task while tracking bilaterally the kinematics of the hips, knees, and ankles. In offline analyses, we applied a Wiener Filter and two unscented Kalman filters of 1st and 10th orders to predict estimates of the kinematic parameters from scalp EEG. Decoding accuracies from four patients who have had cortical and subcortical strokes were comparable with previous studies in healthy subjects. With improved decoding of EEG signals from damaged brains, we hope we can soon correlate activity to more intentional and normal-form walking that can guide users of a powered lower-body prosthetic or exoskeleton.
