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A Review of Myoelectric Control for Prosthetic Hand Manipulation
Ziming Chen1, Huasong Min1, Dong Wang2
1Laboratory for Embedded System and Intelligent Robot, Wuhan University of Science and Technology, Wuhan 430081, China.
Biomimetics (Basel, Switzerland)
|July 28, 2023
Summary
This review explores advanced myoelectric control for prosthetic hands, focusing on intention recognition and control strategies. It aims to improve prosthetic functionality for complex daily tasks and reduce user burden.
Area of Science:
- Rehabilitation Engineering
- Biomedical Engineering
- Neuroprosthetics
Background:
- Myoelectric control is crucial for restoring upper limb function in amputees.
- Current prosthetic hand control is limited to simple grasping, neglecting complex daily tasks.
Purpose of the Study:
- To systematically review recent advancements in myoelectric control for prosthetic hands.
- To identify challenges and opportunities for enhanced prosthetic functionality and reduced user burden.
Main Methods:
- Focused on intention recognition and control strategy research.
- Reviewed advanced methods for motion intention types, discrete/continuous motion classification/estimation, and unidirectional/feedback/shared control.
Main Results:
- Identified key achievements in recognizing user intentions and implementing sophisticated control strategies.
- Highlighted limitations in current myoelectric control for complex daily activities.
Conclusions:
- Future research should focus on functionality-augmented prosthetic hands and user burden reduction.
- Overcoming current limitations will enhance prosthetic capabilities and user experience.
