Design and Characterization of the AdjuSST: An Adjustable Surface Stiffness Treadmill

Humans have the remarkable ability to manage foot-ground interaction seamlessly across terrain changes despite the high dynamic complexity of the task. Understanding how adaptation in the neuromotor system enables this level of robustness in the face of changing interaction dynamics is critical for developing more effective gait retraining interventions. We developed an adjustable surface stiffness treadmill (AdjuSST) to trigger these adaptation mechanisms and enable studies to better understand human adaptation to changing foot-ground dynamics. The AdjuSST system makes use of fundamental beam-bending principles; it controls surface stiffness by controlling the effective length of a cantilever beam. The beam acts as a spring suspension for the transverse endpoint load applied through the treadmill. The system is capable of enforcing a stiffness range of 15-300kN/m within 340 ms, deflecting linearly downwards up to 10 cm, and comfortably accommodating two full steps of travel along the belt. AdjuSST offers significant enhancements in effective walking surface length compared to similar systems, while also maintaining a useful stiffness range and responsive spring suspension. These improvements enhance our ability to study locomotor control and adaptation to changes in surface stiffness, as well as provide new avenues for gait rehabilitation.

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Publication Details

Journal
IEEE/ASME Transactions on Mechatronics
Published
2024-12-27
DOI
https://doi.org/10.1109/tmech.2024.3508476
Citations
3
Primary Topic
Advanced MEMS and NEMS Technologies
Type
article
Field-Weighted Citation Impact
0.63
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article

Design and Characterization of the AdjuSST: An Adjustable Surface Stiffness Treadmill

Banu Abdikadirova, Wouter Hoogkamer, Meghan E. Huber, Mark Price et al.
3 citations
IEEE/ASME Transactions on Mechatronics
Advanced MEMS and NEMS Technologies
0.63
article

Design and Characterization of the AdjuSST: An Adjustable Surface Stiffness Treadmill

Banu Abdikadirova, Wouter Hoogkamer, Meghan E. Huber, Mark Price, Dominic Locurto
article en
3 citations

Abstract

Humans have the remarkable ability to manage foot-ground interaction seamlessly across terrain changes despite the high dynamic complexity of the task. Understanding how adaptation in the neuromotor system enables this level of robustness in the face of changing interaction dynamics is critical for developing more effective gait retraining interventions. We developed an adjustable surface stiffness treadmill (AdjuSST) to trigger these adaptation mechanisms and enable studies to better understand human adaptation to changing foot-ground dynamics. The AdjuSST system makes use of fundamental beam-bending principles; it controls surface stiffness by controlling the effective length of a cantilever beam. The beam acts as a spring suspension for the transverse endpoint load applied through the treadmill. The system is capable of enforcing a stiffness range of 15-300kN/m within 340 ms, deflecting linearly downwards up to 10 cm, and comfortably accommodating two full steps of travel along the belt. AdjuSST offers significant enhancements in effective walking surface length compared to similar systems, while also maintaining a useful stiffness range and responsive spring suspension. These improvements enhance our ability to study locomotor control and adaptation to changes in surface stiffness, as well as provide new avenues for gait rehabilitation.

IEEE/ASME Transactions on MechatronicsVol. 30(6)
Harvard University (US), University of Massachusetts Amherst (US)
Openalex Percentile: Top 30%
Advanced MEMS and NEMS Technologies
0.63
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Design and Characterization of the AdjuSST: An Adjustable Surface Stiffness Treadmill — Banu Abdikadirova, Wouter Hoogkamer, et al. · IEEE/ASME Transactions on Mechatronics (2024) | TGRS Research Map | TGRS