控制界面用于在活跃的膜假肢中检测意图:一个系统的审查
Nur Hidayah Mohd Yusof1,2, Nur Azah Hamzaid3,4, Khin Wee Lai2
1Biomechatronics and Neuroprosthetics Laboratory, Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
Physical and engineering sciences in medicine
|October 31, 2025
概括
本综述探讨了在活跃的腿骨转移假肢中用于意图检测的控制接口. 它强调了机器学习和更简单的感觉系统,以更好地控制假肢.
科学领域:
- 生物医学工程 生物医学工程
- 康复工程 康复工程
- 假肢和整形手术
背景情况:
- 活跃的骨转移假肢设备需要复杂的控制接口来有效地检测用户的意图.
- 现有的文献跨越了二十年,专注于膝关节假肢的控制算法.
研究的目的:
- 审查和分类创建控制接口的最新方法,用于在活跃的腿骨转移假肢器件中检测意图.
- 评估当前控制接口的可行性,并确定关键研究领域.
主要方法:
- 在过去的二十年中进行了全面的文献审查.
- 最初检索了213项研究,其中33项根据相关性和质量使用Downs and Black检查清单进行了选择.
- 研究被分为控制战略框架,常规方法,实现潜力和机器学习算法.
主要成果:
- 十五篇论文集中在控制战略框架,两篇论文集中在传统方法,四篇论文集中在实施潜力,十二篇论文集中在机器学习算法.
- 机器学习算法是活跃假肢的重要研究领域.
- 审查发现需要更简单的感觉系统与创新的控制算法配对.
结论:
- 有效的感官系统和意图检测算法对于先进的转假肢至关重要.
- 将更简单的传感系统与先进的算法集成,可以提高传感器数据的翻译.
- 开发可行的控制接口来检测意图对于改善活跃假肢功能至关重要.
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