Changes in Dynamic Mean Ankle Moment Arm in Unimpaired Walking Across Speeds, Ramps, and Stairs
Author:
Fehr Katherine Heidi1ORCID, Kent Jenny A.2, Major Matthew J.345ORCID, Adamczyk Peter Gabriel6
Affiliation:
1. Department of Mechanical Engineering, University of Wisconsin–Madison , 1513 University Avenue, Madison, WI 53705 2. Department of Physical Therapy, University of Nevada Las Vegas , 4505 S Maryland Pkwy, Las Vegas, NV 89154 3. Department of Physical Medicine & Rehabilitation, Northwestern University , Chicago, IL 60611 ; , Evanston, IL 60208 ; , 680 N Lake Shore Dr, Suite 1100, Chicago, IL 60611 4. Department of Biomedical Engineering, Northwestern University , Chicago, IL 60611 ; , Evanston, IL 60208 ; , 680 N Lake Shore Dr, Suite 1100, Chicago, IL 60611 5. Jesse Brown Department of Veterans Affairs Medical Center, U.S. Department of Veterans Affairs , Chicago, IL 60611 ; , Evanston, IL 60208 ; , 680 N Lake Shore Dr, Suite 1100, Chicago, IL 60611 6. Department of Mechanical Engineering, University of Wisconsin–Madison , 1513 University Ave., Rm. 3039, Madison, WI 53705
Abstract
Abstract
Understanding the natural biomechanics of walking at different speeds and activities is crucial to develop effective assistive devices for persons with lower-limb impairments. While continuous measures such as joint angle and moment are well-suited for biomimetic control of robotic systems, whole-stride summary metrics are useful for describing changes across behaviors and for designing and controlling passive and semi-active devices. Dynamic mean ankle moment arm (DMAMA) is a whole-stride measure representing the moment arm of the ground reaction impulse about the ankle joint—effectively, how “forefoot-dominated” or “hindfoot-dominated” a movement is. DMAMA was developed as a target and performance metric for semi-active devices that adjust once per stride. However, for implementation in this application, DMAMA must be characterized across various activities in unimpaired individuals. In our study, unimpaired participants walked at “slow,” “normal,” and “fast” self-selected speeds on level ground and at a normal self-selected speed while ascending and descending stairs and a 5-degree incline ramp. DMAMA measured from these activities displayed a borderline-significant negative sensitivity to walking speed, a significant positive sensitivity to ground incline, and a significant decrease when ascending stairs compared to descending. The data suggested a nonlinear relationship between DMAMA and walking speed; half of the participants had the highest average DMAMA at their “normal” speed. Our findings suggest that DMAMA varies substantially across activities, and thus, matching DMAMA could be a valuable metric to consider when designing biomimetic assistive lower-limb devices.
Funder
Institute for Clinical and Translational Research, University of Wisconsin, Madison National Science Foundation U.S. Department of Defense
Publisher
ASME International
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