Computational Neurorehabilitation of Walking Impairments (Video) Event as iCalendar

(Seminars)

12 July 2016

4 - 5pm

Venue: Ground Floor Seminar Room (G10)

Location: 70 Symonds Street, Auckland Central.

An ABI seminar by Prof B. J. Fregly, Knox T. Millsaps Professor, Department of Mechanical & Aerospace Engineering, University of Florida.

Abstract

Neurological impairments stemming from clinical conditions such as stroke, Parkinson’s disease, osteoarthritis, and cerebral palsy frequently produce associated biomechanical impairments that limit walking ability. Since decreased walking ability leads to a decreased quality of life and an increased risk of serious health conditions (e.g., heart disease, diabetes), restoration of walking function following neurological impairment is an important public health problem. Unfortunately, traditional neurorehabilitation treatments for walking impairments have achieved only limited success in restoring lost function, in part due to the highly subjective nature of the current treatment design process.

Consistent with the emphasis on “evidence-based medicine,” patient-specific computational models could potentially be used to design more effective treatments for walking impairments arising from neurological conditions. Such models could provide objective predictions of how a specific patient will walk following different types of neurorehabilitation treatments under consideration (i.e., computational neurorehabilitation). Such treatments include clinic-based or robotic gait training coupled with targeted strength training (restoration), functional electrical stimulation (augmentation), and assistive technology (compensation). This talk with discuss ongoing research in our lab in this area and the primary modeling and computational hurdles that need to be overcome before computational neurorehabilitation can make a positive impact in the clinic.