From a biological template model to gait assistance with an exosuit.

biarticular actuator exosuit gait assistance neuromuscular modeling with OpenSim template-based control

Journal

Bioinspiration & biomimetics
ISSN: 1748-3190
Titre abrégé: Bioinspir Biomim
Pays: England
ID NLM: 101292902

Informations de publication

Date de publication:
09 11 2021
Historique:
received: 11 05 2021
accepted: 08 10 2021
pubmed: 9 10 2021
medline: 24 12 2021
entrez: 8 10 2021
Statut: epublish

Résumé

The invention of soft wearable assistive devices, known as exosuits, introduced a new aspect in assisting unimpaired subjects. In this study, we designed and developed an exosuit with compliant biarticular thigh actuators called BATEX. Unlike the conventional method of using rigid actuators in exosuits, the BATEX is made of serial elastic actuators (SEA) resembling artificial muscles. This bioinspired design is complemented by the novel control concept of using the ground reaction force to adjust the artificial muscles' stiffness in the stance phase. By locking the motors in the swing phase, the SEAs will be simplified to passive biarticular springs, which is sufficient for leg swinging. The key concept in our design and control approach is to synthesize human locomotion to develop an assistive device instead of copying human motor control outputs. Analyzing human walking assistance using experiment-based OpenSim simulations demonstrates the advantages of the proposed design and control of BATEX, such as 9.4% reduction in metabolic cost during normal walking condition. This metabolic reduction increases to 10.4% when the subjects carry a 38 kg load. The adaptability of our proposed model-based control to such an unknown condition outperforms the assistance level of the model-free optimal controller. Moreover, increasing the assistive system's efficiency by adjusting the actuator compliance with the force feedback supports our previous findings on the LOPES II exoskeleton.

Identifiants

pubmed: 34624880
doi: 10.1088/1748-3190/ac2e0d
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2021 IOP Publishing Ltd.

Auteurs

Vahid Firouzi (V)

School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.

Ayoob Davoodi (A)

School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.

Fariba Bahrami (F)

School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.

Maziar A Sharbafi (MA)

School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Lauflabor Laboratory, Technische Universität Darmstadt, Darmstadt, Germany.

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Classifications MeSH