Evidence map›Paper›PMID 42620503›Full record

ArticleFrontiers in neurorobotics2026

Intention-driven ankle exoskeleton training acutely alters swing foot clearance distribution: a preliminary study.

Hanatsu Nagano, Rezaul Begg, Eri Sarashina, Hiroaki Kawamoto

Abstract read
In one paragraph

Article in Frontiers in neurorobotics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Hanatsu NaganoInstitute of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan.
Rezaul BeggInstitute for Health and Sport (IHES), Victoria University, Footscray, VIC, Australia.
Eri SarashinaInstitute of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan.
Hiroaki KawamotoInstitute of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Tripping is a leading cause of falls, and Minimum Foot Clearance (MFC)-the lowest vertical swing-foot displacement during mid-swing-is a key gait event associated with tripping risk. Preventing tripping requires not only sufficiently high MFC but also consistent control across steps, which depends on neuromotor rather than strength-based mechanisms. We hypothesized that aligning movement intention with repeated, optimal ankle motion using a surface electromyography (sEMG)-driven exoskeleton would improve neuromotor consistency and MFC characteristics. Methods: A total of 12 healthy adults completed 5 min of treadmill walking at 4 km/h before and after a 5-min ankle exoskeleton training sequence ('feet-flat, toes-up, feet-flat, heels-up', 60 bpm). The Vicon motion capture system tracked the reflective markers placed on the heel and toe to collect MFC dataset. The exoskeleton (i.e., Hybrid Assistive Limb) detects voluntary neural drive through sEMG and converts it into assisted ankle motion, supporting intention-based neuromotor training. Results: The obtained MFC dataset showed that training increased the lowest percentile of the MFC distribution (i.e., the risky tail) by 0.39 cm, reduced step-to-step variability, and increased dataset skewness, suggesting reduction of both low and high extremes in swing-foot clearance. Discussion: These preliminary findings suggest that brief intention-based ankle exoskeleton training may acutely improve safety-relevant characteristics of MFC control. Further studies in older adults and neurological populations are required to determine clinical relevance for tripping-risk reduction.

Indexed as

ankle exoskeletonfall prevention and controlfoot clearancemotor controlneurorehabilitationsurface electromyography signal

Identifiers

PMID42620503
PMCPMC13486167

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.