Chang S., Nam Ph.D., Industrial and Systems Engineering, NCSU
Richard Goldberg Ph.D., Biomedical Engineering NCSU/UNC-Chapel Hill
Title: A Pilot Study of Brain-Computer Interface (BCI)-Driven Orthosis for Rehabilitation
This project aims at determining the ability of stroke patients to volitionally modulate their sensorimotor rhythms and operate a brain-actuated hand orthosis with additional somatosensory feedback through a newly established interdisciplinary collaboration between UNC-CH (Biomedical Engineering) and NCSU (Industrial and Systems Engineering) research teams. Subjects equipped with a BCI-orthosis system perform hand grasping, hand opening, wrist extension, and wrist bending by imagining movements of left hand, right hand, both hands, and both feet, respectively, while receiving visual and haptic feedback. We expect that haptic feedback in addition to visual feedback about the current state of brain activity improves performance of the BCI driven orthosis and that this motor imagery-based BCI training with sensory feedback can be utilized to support the process of cortical reorganization required for clinical improvement in impaired motor function. Results of the present study will help us better understand neural mechanisms of a BCI-orthosis operation. Findings from this study will also allow us to conduct long-term rehabilitation studies with stroke patients who have severe motor impairment using a BCI-driven prosthetic connected to a motor imagery-based Wolfpack BCI system we developed.
Gregory S. Sawicki Ph.D. Biomedical Engineering NCSU/UNC-Chapel Hill
Michael D. Lewek P.T. Ph.D. Division of Physical Therapy UNC-Chapel Hill
Title: Linking Mechanics and Energetics of Post-Stroke Locomotion
Walking after stroke is characterized as asymmetric, slow and metabolically costly, which can minimize community ambulation. Despite these issues, a clear understanding of the mechanics underlying the elevated metabolic cost of hemiparetic walking remains elusive. First, we propose to apply novel, cutting edge motion analysis techniques to a large pre-existing catalog of data from the Lewek and Sawicki labs in order to examine the mechanical basis for post-stroke gait asymmetry at the level of the individual limbs and lower-limb joints. Then, we will extend our base mechanical data set and generate novel pilot data including simultaneous mechanics and energetics measurements during a range of walking conditions. Simultaneous mechanics and energetics measurements will facilitate the establishment of a link between mechanical function and metabolic energy expenditure in individuals post-stroke. The results from these pilot activities will (1) enhance a relatively new collaboration between Lewek and Sawicki, (2) generate crucial preliminary data for a competitive NIH R01 proposal (planned Oct 2012) and (3) significantly advance the field of rehabilitation engineering.