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Understanding the perspectives of older adults and physiotherapists on home-based lower-limb exoskeletons

Published online by Cambridge University Press:  14 July 2025

Reinhard Claeys
Affiliation:
Rehabilitation Research Group, Department of Physiotherapy, Human Physiology and Anatomy, Vrije Universiteit Brussel, Jette, Belgium Brubotics (Human Robotics Research Center), Vrije Universiteit Brussel, Elsene, Belgium Center for Neurosciences (C4N), Vrije Universiteit Brussel, Elsene, Belgium
Elissa Embrechts
Affiliation:
Rehabilitation Research Group, Department of Physiotherapy, Human Physiology and Anatomy, Vrije Universiteit Brussel, Jette, Belgium Brubotics (Human Robotics Research Center), Vrije Universiteit Brussel, Elsene, Belgium Center for Neurosciences (C4N), Vrije Universiteit Brussel, Elsene, Belgium Research Group MOVANT, Department of Rehabilitation Sciences and Physiotherapy, Universiteit Antwerpen , Wilrijk, Belgium Helmholtz Institute, Department of Experimental Psychology, Universiteit Utrecht, Utrecht, the Netherlands
Aikaterini Bourazeri
Affiliation:
School of Computer Science and Electronic Engineering, University of Essex , Colchester, UK
Ruben Debeuf
Affiliation:
Rehabilitation Research Group, Department of Physiotherapy, Human Physiology and Anatomy, Vrije Universiteit Brussel, Jette, Belgium Brubotics (Human Robotics Research Center), Vrije Universiteit Brussel, Elsene, Belgium Center for Neurosciences (C4N), Vrije Universiteit Brussel, Elsene, Belgium
Mahyar Firouzi
Affiliation:
Rehabilitation Research Group, Department of Physiotherapy, Human Physiology and Anatomy, Vrije Universiteit Brussel, Jette, Belgium Brubotics (Human Robotics Research Center), Vrije Universiteit Brussel, Elsene, Belgium Center for Neurosciences (C4N), Vrije Universiteit Brussel, Elsene, Belgium Brain, Body and Cognition Research Group, Faculty of Psychology and Educational Sciences, Vrije Universiteit Brussel, Elsene, Belgium
Matthias Eggermont
Affiliation:
Rehabilitation Research Group, Department of Physiotherapy, Human Physiology and Anatomy, Vrije Universiteit Brussel, Jette, Belgium Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel, Brussels, Belgium
Siddhartha Lieten
Affiliation:
Department of Geriatrics, Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel, Brussels, Belgium
Benjamin Filtjens
Affiliation:
e-Media Research Lab, Department of Electrical Engineering (ESAT), KU Leuven , Leuven, Belgium Department of Engineering Systems and Services, Delft University of Technology, Delft, the Netherlands
Tom Verstraten
Affiliation:
Brubotics (Human Robotics Research Center), Vrije Universiteit Brussel, Elsene, Belgium Federated Labs AI & Robotics (FLAIR), Elsene, Belgium Robotics & Multibody Mechanics Research Group, Flanders Make , Elsene, Belgium
Eva Swinnen*
Affiliation:
Rehabilitation Research Group, Department of Physiotherapy, Human Physiology and Anatomy, Vrije Universiteit Brussel, Jette, Belgium Brubotics (Human Robotics Research Center), Vrije Universiteit Brussel, Elsene, Belgium Center for Neurosciences (C4N), Vrije Universiteit Brussel, Elsene, Belgium
David Beckwée
Affiliation:
Rehabilitation Research Group, Department of Physiotherapy, Human Physiology and Anatomy, Vrije Universiteit Brussel, Jette, Belgium Brubotics (Human Robotics Research Center), Vrije Universiteit Brussel, Elsene, Belgium Research Group MOVANT, Department of Rehabilitation Sciences and Physiotherapy, Universiteit Antwerpen , Wilrijk, Belgium
*
Corresponding author: Eva Swinnen; Email: eva.swinnen@vub.be

Abstract

Older adults often experience a decline in functional abilities, affecting their independence and mobility at home. Wearable lower-limb exoskeletons (LLEs) have the potential to serve as both assistive devices to support mobility and training tools to enhance physical capabilities. However, active end-user involvement is crucial to ensure LLEs align with users’ needs and preferences. This study employed a co-design methodology to explore home-based LLE requirements from the perspectives of older adults with mobility impairments and physiotherapists. Four older adults with self-reported mobility limitations participated by creating personas to represent different user needs and experiences (i.e., PERCEPT methodology), alongside four experienced physiotherapists who contributed their professional insights. As assistive devices, LLEs were seen as valuable for promoting independence, supporting mobility, and facilitating social participation, with essential activities including shopping, toileting, and outdoor walking. Physiotherapists expressed enthusiasm for integrating LLEs into remote rehabilitation programs, particularly to improve strength, balance, coordination, and walking speed. Key design considerations included a lightweight, discreet device that is easy to don and doff and comfortable for extended wear. Physiotherapists highlighted the potential of digital monitoring to assess physical parameters and personalize therapy. Fatigue emerged as a significant challenge for older adults, reinforcing the need for assistive LLEs to alleviate exhaustion and enhance functional independence. A shortlist of LLE features was drafted and scored, covering activity and design applications. These findings provide valuable insights into the design and usability of home-based LLEs, offering a foundation for developing devices that improve acceptance, usability, and long-term impact on healthy ageing.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press
Figure 0

Table 1. Characteristics of the older adult participants

Figure 1

Table 2. Older adults’ and physiotherapists’ rating of LLE features

Figure 2

Table 3. Characteristics of the physiotherapist participants

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