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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

(1) Background: Continuous health promotion systems are increasingly important, enabling decentralized patient care, providing comfort, and reducing congestion in healthcare facilities. These systems allow for treatment beyond clinical settings and support preventive monitoring. Wearable systems have become essential tools for health monitoring, but they focus mainly on physiological data, overlooking motor data evaluation. The World Health Organization reports that 1.71 billion people globally suffer from musculoskeletal conditions, marked by pain and limited mobility. (2) Methods: To gain a deeper understanding of wearables for the motor rehabilitation, monitoring, and prediction of the progression and/or degradation of symptoms directly associated with upper-limb pathologies, this study was conducted. Thus, all articles indexed in the Web of Science database containing the terms “wearable”, “upper limb”, and (“rehabilitation” or “monitor” or “predict”) between 2019 and 2023 were flagged for analysis. (3) Results: Out of 391 papers identified, 148 were included and analyzed, exploring pathologies, technologies, and their interrelationships. Technologies were categorized by typology and primary purpose. (4) Conclusions: The study identified essential sensory units and actuators in wearable systems for upper-limb physiotherapy and analyzed them based on treatment methods and targeted pathologies.

Details

Title
Trends and Innovations in Wearable Technology for Motor Rehabilitation, Prediction, and Monitoring: A Comprehensive Review
Author
Lobo, Pedro 1   VIAFID ORCID Logo  ; Morais, Pedro 2   VIAFID ORCID Logo  ; Murray, Patrick 3   VIAFID ORCID Logo  ; Vilaça, João L 2   VIAFID ORCID Logo 

 2AI, School of Technology, IPCA, 4750-810 Barcelos, Portugal; [email protected] (P.M.); [email protected] (J.L.V.); LIFE Research Institute, TUS—Technological University of the Shannon, V94 EC5T Limerick, Ireland; [email protected] 
 2AI, School of Technology, IPCA, 4750-810 Barcelos, Portugal; [email protected] (P.M.); [email protected] (J.L.V.); LASI—Associate Laboratory of Intelligent Systems, 4800-058 Guimarães, Portugal 
 LIFE Research Institute, TUS—Technological University of the Shannon, V94 EC5T Limerick, Ireland; [email protected] 
First page
7973
Publication year
2024
Publication date
2024
Publisher
MDPI AG
e-ISSN
14248220
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3149752513
Copyright
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.