Neglected physical human-robot interaction may explain variable outcomes in gait neurorehabilitation research
| Autor: | P. Baines, J. von Zitzewitz, Leonie Asboth, Salil Apte, Heike Vallery, Grégoire Courtine, Michiel Plooij, U. Keller, Bram Sterke |
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| Přispěvatelé: | Rehabilitation Medicine, University of Zurich, Vallery, H |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Male
Orthotic Devices 2606 Control and Optimization medicine.medical_specialty Control and Optimization 2210 Mechanical Engineering Body weight support 610 Medicine & health 1702 Artificial Intelligence Walking Treadmill walking Human–robot interaction rehabilitation treadmill walking User-Computer Interface Physical medicine and rehabilitation chronic stroke SDG 3 - Good Health and Well-being Artificial Intelligence 1706 Computer Science Applications medicine Humans SDG 7 - Affordable and Clean Energy body-weight support Gait Man-Machine Systems Chronic stroke Neurorehabilitation parameters Mechanical Engineering Body Weight Neurological Rehabilitation speed Overground walking Equipment Design Robotics stability Biomechanical Phenomena Computer Science Applications Variable (computer science) 10036 Medical Clinic Calibration overground walking spinal-cord-injury fear Female Patient Safety Psychology |
| Zdroj: | Science Robotics, 6(58):eabf1888. American Association for the Advancement of Science |
| ISSN: | 2470-9476 |
| Popis: | During gait neurorehabilitation, many factors influence the quality of gait patterns, particularly the chosen body-weight support (BWS) device. Consequently, robotic BWS devices play a key role in gait rehabilitation of people with neurological disorders. The device transparency, support force vector direction, and attachment to the harness vary widely across existing robotic BWS devices, but the influence of these factors on the production of gait remains unknown. Because this information is key to designing an optimal BWS, we systematically studied these determinants in this work. We report that with a highly transparent device and a conventional harness, healthy participants select a small backward force when asked for optimal BWS conditions. This unexpected finding challenges the view that during human-robot interactions, humans predominantly optimize energy efficiency. Instead, they might seek to increase their feeling of stability and safety. We also demonstrate that the location of the attachment points on the harness strongly affects gait patterns, yet harness attachment is hardly reported in literature. Our results establish principles for the design of BWS devices and personalization of BWS settings for gait neurorehabilitation. |
| Databáze: | OpenAIRE |
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