Evidence map›Paper›PMID 39787128›Full record

ArticlePloS one2025

Comprehensive multi-metric analysis of user experience and performance in adaptive and non-adaptive lower-limb exoskeletons.

Krongkaew Supapitanon, Tanyaporn Patathong, Chaicharn Akkawutvanich, Arthicha Srisuchinnawong, Worachit Ketrungsri, Poramate Manoonpong, Patarawan Woratanarat, Chanika Angsanuntsukh

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Article in PloS one, 2025. 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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Krongkaew SupapitanonDepartment of Orthopedics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Ratchathewi, Bangkok, Thailand.ORCID 0000-0003-1662-5462
Tanyaporn PatathongDepartment of Orthopedics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Ratchathewi, Bangkok, Thailand.
Chaicharn AkkawutvanichSchool of Information Science & Technology, Vidyasirimedhi Institute of Science & Technology (VISTEC), Rayong, Thailand.ORCID 0000-0003-0833-6505
Arthicha SrisuchinnawongSchool of Information Science & Technology, Vidyasirimedhi Institute of Science & Technology (VISTEC), Rayong, Thailand.
Worachit KetrungsriSchool of Information Science & Technology, Vidyasirimedhi Institute of Science & Technology (VISTEC), Rayong, Thailand.
Poramate ManoonpongSchool of Information Science & Technology, Vidyasirimedhi Institute of Science & Technology (VISTEC), Rayong, Thailand.ORCID 0000-0002-4806-7576
Patarawan WoratanaratDepartment of Orthopedics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Ratchathewi, Bangkok, Thailand.
Chanika AngsanuntsukhDepartment of Orthopedics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Ratchathewi, Bangkok, Thailand.ORCID 0000-0002-6047-8079

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Among control methods for robotic exoskeletons, biologically inspired control based on central pattern generators (CPGs) offer a promising approach to generate natural and robust walking patterns. Compared to other approaches, like model-based and machine learning-based control, the biologically inspired control provides robustness to perturbations, requires less computational power, and does not need system models or large learning datasets. While it has shown effectiveness, a comprehensive evaluation of its user experience is lacking. Thus, this study addressed this gap by investigating the performance of a state-of-the-art adaptive CPG-based exoskeleton control system (intelligent mode) under a multi-metric analysis (involving three-dimensional gait analysis, muscle activity, oxygen consumption, user comfort, and exoskeleton performance scores) and comparing it to a standard commercial exoskeleton control system (default mode). A cross-over design with randomized allocation in Thai healthy and independently walking adults ensured participants experienced both modes. All participants were assigned into two groups to receive an alternate sequence of walking with the intelligent mode or the default mode of the lower-limb exoskeleton Exo-H3 at high and normal speed. From eight participants, the intelligent mode-driven exoskeleton (adaptive exoskeleton) showed a significantly lower velocity, stride, and step lengths than the default mode-driven exoskeleton (non-adaptive exoskeleton). This setup significantly increased anterior pelvic tilt during mid-swing at normal speed (3.69 ± 1.77 degrees, p = 0.001) and high speed (2.52 ± 1.69 degrees, p = 0.004), hip flexion during stance phase with ankle dorsiflexion, and used less oxygen consumption at high speed (-2.03 ± 2.07 ml/kg/min) when compared to the default one. No significant differences of muscle activity, user comfort and exoskeleton performance scores between the two modes. Further exoskeletal modification in terms of hardware and control is still needed to improve the temporal spatial, kinematics, user comfort, and exoskeleton performance.

Indexed as

Exoskeleton DeviceLower ExtremityWalkingAdultBiomechanical PhenomenaCross-Over StudiesFemaleGaitHumansMaleOxygen ConsumptionYoung Adult

Identifiers

PMID39787128
PMCPMC11717227

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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.