Trends and Innovations in Wearable Technology for Motor Rehabilitation, Prediction, and Monitoring: A Comprehensive Review
(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 hav...
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MDPI AG
2024-12-01
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| Online Access: | https://www.mdpi.com/1424-8220/24/24/7973 |
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| author | Pedro Lobo Pedro Morais Patrick Murray João L. Vilaça |
| author_facet | Pedro Lobo Pedro Morais Patrick Murray João L. Vilaça |
| author_sort | Pedro Lobo |
| collection | DOAJ |
| description | (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. |
| format | Article |
| id | doaj-art-e213263f1dfc4ce4b270fb04d17a1f30 |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
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| series | Sensors |
| spelling | doaj-art-e213263f1dfc4ce4b270fb04d17a1f302024-12-27T14:52:36ZengMDPI AGSensors1424-82202024-12-012424797310.3390/s24247973Trends and Innovations in Wearable Technology for Motor Rehabilitation, Prediction, and Monitoring: A Comprehensive ReviewPedro Lobo0Pedro Morais1Patrick Murray2João L. Vilaça32AI, School of Technology, IPCA, 4750-810 Barcelos, Portugal2AI, School of Technology, IPCA, 4750-810 Barcelos, PortugalLIFE Research Institute, TUS—Technological University of the Shannon, V94 EC5T Limerick, Ireland2AI, School of Technology, IPCA, 4750-810 Barcelos, Portugal(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.https://www.mdpi.com/1424-8220/24/24/7973wearablecontinuous healthtelemedicineupper limbphysiotherapypos-strock |
| spellingShingle | Pedro Lobo Pedro Morais Patrick Murray João L. Vilaça Trends and Innovations in Wearable Technology for Motor Rehabilitation, Prediction, and Monitoring: A Comprehensive Review Sensors wearable continuous health telemedicine upper limb physiotherapy pos-strock |
| title | Trends and Innovations in Wearable Technology for Motor Rehabilitation, Prediction, and Monitoring: A Comprehensive Review |
| title_full | Trends and Innovations in Wearable Technology for Motor Rehabilitation, Prediction, and Monitoring: A Comprehensive Review |
| title_fullStr | Trends and Innovations in Wearable Technology for Motor Rehabilitation, Prediction, and Monitoring: A Comprehensive Review |
| title_full_unstemmed | Trends and Innovations in Wearable Technology for Motor Rehabilitation, Prediction, and Monitoring: A Comprehensive Review |
| title_short | Trends and Innovations in Wearable Technology for Motor Rehabilitation, Prediction, and Monitoring: A Comprehensive Review |
| title_sort | trends and innovations in wearable technology for motor rehabilitation prediction and monitoring a comprehensive review |
| topic | wearable continuous health telemedicine upper limb physiotherapy pos-strock |
| url | https://www.mdpi.com/1424-8220/24/24/7973 |
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