Learning to walk with a wearable robot in 880 simple steps: a pilot study on motor adaptation

Abstract Background Wearable robots have been shown to improve the efficiency of walking in diverse scenarios. However, it is unclear how much practice is needed to fully adapt to robotic assistance, and which neuromotor processes underly this adaptation. Familiarization strategies for novice users,...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Florian L. Haufe, Alessia M. Kober, Peter Wolf, Robert Riener, Michele Xiloyannis
Formato: article
Lenguaje:EN
Publicado: BMC 2021
Materias:
Acceso en línea:https://doaj.org/article/a6057218fa014414b929e00b2593718e
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:a6057218fa014414b929e00b2593718e
record_format dspace
spelling oai:doaj.org-article:a6057218fa014414b929e00b2593718e2021-11-08T11:15:56ZLearning to walk with a wearable robot in 880 simple steps: a pilot study on motor adaptation10.1186/s12984-021-00946-91743-0003https://doaj.org/article/a6057218fa014414b929e00b2593718e2021-11-01T00:00:00Zhttps://doi.org/10.1186/s12984-021-00946-9https://doaj.org/toc/1743-0003Abstract Background Wearable robots have been shown to improve the efficiency of walking in diverse scenarios. However, it is unclear how much practice is needed to fully adapt to robotic assistance, and which neuromotor processes underly this adaptation. Familiarization strategies for novice users, robotic optimization techniques (e.g. human-in-the-loop), and meaningful comparative assessments depend on this understanding. Methods To better understand the process of motor adaptation to robotic assistance, we analyzed the energy expenditure, gait kinematics, stride times, and muscle activities of eight naïve unimpaired participants across three 20-min sessions of robot-assisted walking. Experimental outcomes were analyzed with linear mixed effect models and statistical parametric mapping techniques. Results Most of the participants’ kinematic and muscular adaptation occurred within the first minute of assisted walking. After ten minutes, or 880 steps, the energetic benefits of assistance were realized (an average of 5.1% (SD 2.4%) reduction in energy expenditure compared to unassisted walking). Motor adaptation was likely driven by the formation of an internal model for feedforward motor control as evidenced by the reduction of burst-like muscle activity at the cyclic end of robotic assistance and an increase in arm-swing asymmetry previously associated with increased cognitive load. Conclusion Humans appear to adapt to walking assistance from a wearable robot over 880 steps by forming an internal model for feedforward control. The observed adaptation to the wearable robot is well-described by existing three-stage models that start from a cognitive stage, continue with an associative stage, and end in autonomous task execution. Trial registration Not applicable.Florian L. HaufeAlessia M. KoberPeter WolfRobert RienerMichele XiloyannisBMCarticleExoskeletonExosuitExomuscleMotor adaptationLearningFamiliarizationNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENJournal of NeuroEngineering and Rehabilitation, Vol 18, Iss 1, Pp 1-14 (2021)
institution DOAJ
collection DOAJ
language EN
topic Exoskeleton
Exosuit
Exomuscle
Motor adaptation
Learning
Familiarization
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
spellingShingle Exoskeleton
Exosuit
Exomuscle
Motor adaptation
Learning
Familiarization
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Florian L. Haufe
Alessia M. Kober
Peter Wolf
Robert Riener
Michele Xiloyannis
Learning to walk with a wearable robot in 880 simple steps: a pilot study on motor adaptation
description Abstract Background Wearable robots have been shown to improve the efficiency of walking in diverse scenarios. However, it is unclear how much practice is needed to fully adapt to robotic assistance, and which neuromotor processes underly this adaptation. Familiarization strategies for novice users, robotic optimization techniques (e.g. human-in-the-loop), and meaningful comparative assessments depend on this understanding. Methods To better understand the process of motor adaptation to robotic assistance, we analyzed the energy expenditure, gait kinematics, stride times, and muscle activities of eight naïve unimpaired participants across three 20-min sessions of robot-assisted walking. Experimental outcomes were analyzed with linear mixed effect models and statistical parametric mapping techniques. Results Most of the participants’ kinematic and muscular adaptation occurred within the first minute of assisted walking. After ten minutes, or 880 steps, the energetic benefits of assistance were realized (an average of 5.1% (SD 2.4%) reduction in energy expenditure compared to unassisted walking). Motor adaptation was likely driven by the formation of an internal model for feedforward motor control as evidenced by the reduction of burst-like muscle activity at the cyclic end of robotic assistance and an increase in arm-swing asymmetry previously associated with increased cognitive load. Conclusion Humans appear to adapt to walking assistance from a wearable robot over 880 steps by forming an internal model for feedforward control. The observed adaptation to the wearable robot is well-described by existing three-stage models that start from a cognitive stage, continue with an associative stage, and end in autonomous task execution. Trial registration Not applicable.
format article
author Florian L. Haufe
Alessia M. Kober
Peter Wolf
Robert Riener
Michele Xiloyannis
author_facet Florian L. Haufe
Alessia M. Kober
Peter Wolf
Robert Riener
Michele Xiloyannis
author_sort Florian L. Haufe
title Learning to walk with a wearable robot in 880 simple steps: a pilot study on motor adaptation
title_short Learning to walk with a wearable robot in 880 simple steps: a pilot study on motor adaptation
title_full Learning to walk with a wearable robot in 880 simple steps: a pilot study on motor adaptation
title_fullStr Learning to walk with a wearable robot in 880 simple steps: a pilot study on motor adaptation
title_full_unstemmed Learning to walk with a wearable robot in 880 simple steps: a pilot study on motor adaptation
title_sort learning to walk with a wearable robot in 880 simple steps: a pilot study on motor adaptation
publisher BMC
publishDate 2021
url https://doaj.org/article/a6057218fa014414b929e00b2593718e
work_keys_str_mv AT florianlhaufe learningtowalkwithawearablerobotin880simplestepsapilotstudyonmotoradaptation
AT alessiamkober learningtowalkwithawearablerobotin880simplestepsapilotstudyonmotoradaptation
AT peterwolf learningtowalkwithawearablerobotin880simplestepsapilotstudyonmotoradaptation
AT robertriener learningtowalkwithawearablerobotin880simplestepsapilotstudyonmotoradaptation
AT michelexiloyannis learningtowalkwithawearablerobotin880simplestepsapilotstudyonmotoradaptation
_version_ 1718442269264052224