Guillaume Gaudet, Maxime Raison and Sofiane Achiche
Article (2021)
Open Acess document in PolyPublie and at official publisher |
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Abstract
Sensorless and sensor-based upper limb exoskeletons that enhance or support daily motor function are limited for children. This review presents the different needs in pediatrics and the latest trends when developing an upper limb exoskeleton and discusses future prospects to improve accessibility. First, the principal diagnoses in pediatrics and their respective challenge are presented. A total of 14 upper limb exoskeletons aimed for pediatric use were identified in the literature. The exoskeletons were then classified as sensorless or sensor-based, and categorized with respect to the application domain, the motorization solution, the targeted population(s), and the supported movement(s). The relative absence of upper limb exoskeleton in pediatrics is mainly due to the additional complexity required in order to adapt to children’s growth and answer their specific needs and usage. This review highlights that research should focus on sensor-based exoskeletons, which would benefit the majority of children by allowing easier adjustment to the children’s needs. Sensor-based exoskeletons are often the best solution for children to improve their participation in activities of daily living and limit cognitive, social, and motor impairments during their development.
Uncontrolled Keywords
exoskeleton; upper limb; pediatrics; biomechatronics
Subjects: | 2100 Mechanical engineering > 2100 Mechanical engineering |
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Department: | Department of Mechanical Engineering |
Funders: | Vanier Canada, NSERC |
PolyPublie URL: | https://publications.polymtl.ca/9433/ |
Journal Title: | Sensors (vol. 21, no. 10) |
Publisher: | MDPI |
DOI: | 10.3390/s21103561 |
Official URL: | https://doi.org/10.3390/s21103561 |
Date Deposited: | 07 Sep 2023 10:15 |
Last Modified: | 26 Sep 2024 17:51 |
Cite in APA 7: | Gaudet, G., Raison, M., & Achiche, S. (2021). Current trends and challenges in pediatric access to sensorless and sensor-based upper limb exoskeletons. Sensors, 21(10), 3561 (17 pages). https://doi.org/10.3390/s21103561 |
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