An Unpowered Hip Exoskeleton Towards Walking Performance Enhancement for Stroke Survivors

Stroke is one of the leading causes of long-term disability, often resulting in impaired mobility and decreased life quality. This paper presents a novel passive hip exoskeleton system addressing two critical challenges in post-stroke rehabilitation: multi-planar gait assistance and real-time asymmetry quantification. The design features a geometrically optimized dual-plane assistance mechanism generating simultaneous flexion torque and lateral stabilization through spatial spring coupling. Integrated adaptive frequency oscillators enable sub-100ms gait asymmetry detection, providing instant feedback for users.

Authors

Publication Details

Journal
Applied and Computational Engineering
Published
2025-05-29
DOI
https://doi.org/10.54254/2755-2721/2025.po23471
Primary Topic
Stroke Rehabilitation and Recovery
Type
article
Field-Weighted Citation Impact
0.00
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article

An Unpowered Hip Exoskeleton Towards Walking Performance Enhancement for Stroke Survivors

Matthew Long
1 links
Applied and Computational Engineering
Stroke Rehabilitation and Recovery
article

An Unpowered Hip Exoskeleton Towards Walking Performance Enhancement for Stroke Survivors

Matthew Long
article en

Abstract

Stroke is one of the leading causes of long-term disability, often resulting in impaired mobility and decreased life quality. This paper presents a novel passive hip exoskeleton system addressing two critical challenges in post-stroke rehabilitation: multi-planar gait assistance and real-time asymmetry quantification. The design features a geometrically optimized dual-plane assistance mechanism generating simultaneous flexion torque and lateral stabilization through spatial spring coupling. Integrated adaptive frequency oscillators enable sub-100ms gait asymmetry detection, providing instant feedback for users.

Applied and Computational EngineeringVol. 157(1)
Openalex Percentile: Top 84%
Stroke Rehabilitation and Recovery
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An Unpowered Hip Exoskeleton Towards Walking Performance Enhancement for Stroke Survivors — Matthew Long · Applied and Computational Engineering (2025) | TGRS Research Map | TGRS