Use of Lower Limb Exoskeletons as an Assessment Tool for Human Motor Performance: A Systematic Review.

diagnosis gait proprioception range of motion stiffness strength test wearable devices wearable robotics

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
10 Mar 2023
Historique:
received: 18 01 2023
revised: 06 03 2023
accepted: 07 03 2023
medline: 31 3 2023
entrez: 30 3 2023
pubmed: 31 3 2023
Statut: epublish

Résumé

Exoskeletons are a promising tool to support individuals with a decreased level of motor performance. Due to their built-in sensors, exoskeletons offer the possibility of continuously recording and assessing user data, for example, related to motor performance. The aim of this article is to provide an overview of studies that rely on using exoskeletons to measure motor performance. Therefore, we conducted a systematic literature review, following the PRISMA Statement guidelines. A total of 49 studies using lower limb exoskeletons for the assessment of human motor performance were included. Of these, 19 studies were validity studies, and six were reliability studies. We found 33 different exoskeletons; seven can be considered stationary, and 26 were mobile exoskeletons. The majority of the studies measured parameters such as range of motion, muscle strength, gait parameters, spasticity, and proprioception. We conclude that exoskeletons can be used to measure a wide range of motor performance parameters through built-in sensors, and seem to be more objective and specific than manual test procedures. However, since these parameters are usually estimated from built-in sensor data, the quality and specificity of an exoskeleton to assess certain motor performance parameters must be examined before an exoskeleton can be used, for example, in a research or clinical setting.

Identifiants

pubmed: 36991743
pii: s23063032
doi: 10.3390/s23063032
pmc: PMC10057915
pii:
doi:

Types de publication

Systematic Review Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Carl Zeiss Foundation
ID : JuBot

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Auteurs

Tobias Moeller (T)

Institute of Sports and Sports Science, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany.

Felix Moehler (F)

Institute of Sports and Sports Science, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany.

Janina Krell-Roesch (J)

Institute of Sports and Sports Science, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany.

Miha Dežman (M)

Institute for Anthropomatics and Robotics, High Performance Humanoid Technologies (H2T), Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany.

Charlotte Marquardt (C)

Institute for Anthropomatics and Robotics, High Performance Humanoid Technologies (H2T), Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany.

Tamim Asfour (T)

Institute for Anthropomatics and Robotics, High Performance Humanoid Technologies (H2T), Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany.

Thorsten Stein (T)

Institute of Sports and Sports Science, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany.

Alexander Woll (A)

Institute of Sports and Sports Science, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany.

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