Hand Rehabilitation Robotics on Poststroke Motor Recovery
Zan Yue1, Xue Zhang1, Jing Wang1
1School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Behavioural Neurology
|December 13, 2017
Summary
This review explores hand rehabilitation robotics, integrating mechanical design and training paradigms for stroke survivors. It aims to guide designers in selecting components to advance robotic hand therapy and improve patient recovery outcomes.
Area of Science:
- Rehabilitation Engineering
- Robotics in Medicine
- Neurorehabilitation
Background:
- Hand function recovery is a critical challenge in stroke rehabilitation.
- Robot-assisted therapy shows promise, but hand rehabilitation robotics development lags.
- Existing reviews inadequately address the interplay between mechanical design and training paradigms.
Purpose of the Study:
- To provide a comprehensive review of current hand rehabilitation robotics literature.
- To bridge the gap between mechanical design considerations and clinical training paradigms.
- To assist designers in making informed component choices for improved robotic hand therapy.
Main Methods:
- Systematic exploration of existing literature on hand rehabilitation robots.
- Classification of state-of-the-art robotics based on hardware systems.
- Categorization of training paradigms employed in hand rehabilitation robotics.
Main Results:
- An overview correlating subjects, rehabilitation theories, robotic devices, and evaluation methods.
- Detailed introduction to current hand rehabilitation robotics, categorized by hardware and training approaches.
- Discussion of the rationale behind classifications and a holistic view of the field.
Conclusions:
- Integrating mechanical design and training paradigms is crucial for effective hand rehabilitation robotics.
- Informed component selection can accelerate the adoption and efficacy of hand rehabilitation robots.
- This review offers a unified perspective for both designers and clinicians in advancing robotic hand therapy.
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