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Trends and Innovations in Wearable Technology for Motor Rehabilitation, Prediction, and Monitoring: A Comprehensive
Pedro Lobo1,2, Pedro Morais1,3, Patrick Murray2
12AI, School of Technology, IPCA, 4750-810 Barcelos, Portugal.
Sensors (Basel, Switzerland)
|January 8, 2025
Summary
Wearable systems are crucial for health monitoring but often miss motor data. This study analyzes wearables for upper-limb rehabilitation, focusing on motor data to improve patient care and predict musculoskeletal condition progression.
Area of Science:
- Biomedical Engineering
- Rehabilitation Technology
- Wearable Computing
Background:
- Continuous health promotion systems are vital for decentralized patient care and preventive monitoring.
- Wearable systems are essential for health monitoring but predominantly focus on physiological data, neglecting motor data.
- Musculoskeletal conditions affect 1.71 billion people globally, highlighting the need for advanced monitoring and rehabilitation tools.
Purpose of the Study:
- To comprehensively understand the application of wearable systems in motor rehabilitation, monitoring, and prediction of upper-limb pathologies.
- To analyze existing literature on wearable technologies for upper-limb conditions.
- To identify key components and functionalities of wearables for physiotherapy.
Main Methods:
- A systematic literature search was conducted on the Web of Science database.
- Articles published between 2019 and 2023 containing keywords 'wearable', 'upper limb', and ('rehabilitation' or 'monitor' or 'predict') were selected.
- Included articles were analyzed to explore pathologies, technologies, and their interrelationships.
Main Results:
- Out of 391 identified papers, 148 were included in the final analysis.
- Wearable technologies were categorized by their typology and primary purpose.
- The study identified essential sensory units and actuators used in wearable systems for upper-limb physiotherapy.
Conclusions:
- Wearable systems offer significant potential for upper-limb motor rehabilitation and monitoring.
- Analysis based on treatment methods and targeted pathologies provides insights into current wearable technology applications.
- Further research into motor data integration in wearables can enhance the prediction and management of upper-limb conditions.

