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A Comprehensive Review of Elbow Exoskeletons: Classification by Structure, Actuation, and Sensing Technologies
Callista Shekar Ayu Supriyono1, Mihai Dragusanu1, Monica Malvezzi1
1Department of Information Engineering and Mathematics, University of Siena, 53100 Siena, Italy.
Sensors (Basel, Switzerland)
|July 30, 2025
Summary
This review explores advancements in elbow exoskeletons for rehabilitation and assistance. It categorizes devices by structure, actuation, and sensing, highlighting design trends and research gaps for improved wearable robotic systems.
Area of Science:
- Rehabilitation Engineering
- Robotics
- Biomechanics
Background:
- Wearable robotic exoskeletons are advancing for motor rehabilitation and assistance.
- Elbow exoskeletons are crucial for upper limb function, especially after neurological injuries like stroke.
- Evaluating these devices for user comfort, adaptability, and clinical relevance is increasingly important.
Purpose of the Study:
- To review recent advancements in elbow exoskeleton technology.
- To evaluate the effectiveness of current elbow exoskeleton systems.
- To identify key design challenges and limitations in the field.
Main Methods:
- Devices were categorized by mechanical structure (rigid, soft, hybrid), actuation method, and sensing technologies.
- Systems were classified based on supported range of motion (flexion-extension, supination-pronation, or both).
- A systematic analysis of features was conducted to identify trends and gaps.
Main Results:
- Current design trends and common trade-offs in elbow exoskeleton development were highlighted.
- Key research gaps were identified, informing future research directions.
- The review provides a comprehensive overview of the state-of-the-art in elbow exoskeleton technology.
Conclusions:
- Further development is needed to create more practical, effective, and accessible elbow exoskeletons.
- Addressing identified design challenges will enhance user experience and clinical utility.
- This review serves as a guide for future innovations in assistive and rehabilitative robotics.
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