How Important is Position in Adaptive Treadmill Control?

Author:

Downer Kaitlyn E.12,Pariser Kayla M.3,Donlin Margo C.4,Higginson Jill S.56

Affiliation:

1. Department of Mechanical Engineering, University of Delaware , 540 S. College Avenue, STAR Health Sciences Complex, Rm 201, Newark, DE 19713 ; , 1929 Stadium Dr, Nuclear Sciences Building, Rm 209, Gainesville, FL 32611

2. Department of Mechanical and Aerospace Engineering, University of Florida , 540 S. College Avenue, STAR Health Sciences Complex, Rm 201, Newark, DE 19713 ; , 1929 Stadium Dr, Nuclear Sciences Building, Rm 209, Gainesville, FL 32611

3. Department of Mechanical Engineering, University of Delaware , 540 S. College Avenue, STAR Health Sciences Complex, Rm 201, Newark, DE 19713

4. Department of Biomedical Engineering, University of Delaware , 540 S. College Avenue, STAR Health Sciences Complex, Rm 201, Newark, DE 19713

5. Department of Mechanical Engineering, University of Delaware , 540 S. College Avenue, STAR Health Sciences Complex, Rm 201, Newark, DE 19713 ; , 540 S. College Avenue, STAR Health Sciences Complex, Rm 201, Newark, DE 19713

6. Department of Biomedical Engineering, University of Delaware , 540 S. College Avenue, STAR Health Sciences Complex, Rm 201, Newark, DE 19713 ; , 540 S. College Avenue, STAR Health Sciences Complex, Rm 201, Newark, DE 19713

Abstract

Abstract To more closely mimic overground walking, researchers are developing adaptive treadmills (ATMs) that update belt speed in real-time based on user gait mechanics. Many existing ATM control schemes are solely based on position on the belt and do not respond to changes in gait mechanics, like propulsive forces, that result in increased overground walking speed. To target natural causal mechanisms to alter speed, we developed an ATM controller that adjusts speed via changes in position, step length, and propulsion. Gains on each input dictate the impact of the corresponding parameter on belt speed. The study objective was to determine the effect of modifying the position gain on self-selected walking speed, measures of propulsion, and step length. Twenty-two participants walked at their self-selected speed with four ATM controllers, each with a unique position gain. Walking speed, anterior and posterior ground reaction force peaks and impulses, net impulse, and step length were compared between conditions. Smaller position gains promoted more equivalent anterior and posterior impulses, resulting in a net impulse closer to zero (p = 0.0043), a characteristic of healthy gait. Walking speed, anterior and posterior ground reaction force peaks and impulses, and step length did not change between conditions (all p > 0.05). These results suggest that reducing the importance of position in the ATM controller may promote more balanced anterior and posterior impulses, possibly improving the efficacy of the ATM for gait rehabilitation by emphasizing changes in gait mechanics instead of position to naturally adjust speed.

Funder

Delaware Space Grant Consortium

National Institutes of Health

National Science Foundation

University of Delaware

Publisher

ASME International

Subject

Physiology (medical),Biomedical Engineering

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