使用增量学习的3DoF假肢的两个同时和比例肌肉控制方法的初步评估
概括
本研究引入了高级假肢控制的增量学习,使三度自由度 (3-DoFs) 的同时和比例管理成为可能. 初步结果显示,改善上肢假肢在日常活动中的可用性是有前途的.
科学领域:
- 生物医学工程 生物医学工程
- 机器人技术 机器人技术 机器人技术
- 机器学习 机器学习
背景情况:
- 目前的上肢假肢难以同时控制多个自由度 (DoF),限制日常功能.
- 传统的假肢机器学习模型对输入信号的变化敏感.
- 增量学习提供了一个解决方案,它允许快速更新模型,而无需从头开始重新培训.
研究的目的:
- 通过增量学习评估位置和速度控制策略,同时进行比例的3-DoF假肢控制.
- 评估这些新型控制策略在虚拟假肢环境中的性能和可用性.
主要方法:
- 开发并测试基于增量学习的位置和速度控制策略.
- 实现了虚拟汉纳斯假肢的控制,模拟了3-DoFs.
- 通过使用目标实现控制 (TAC) 测试,在八个会议中对两名健康参与者的表现进行了评估.
- 通过系统可用性量表 (SUS) 和NASA-任务负载指数 (NASA-TLX) 问卷评估用户体验.
主要成果:
- 基于增量学习的位置和速度控制策略都显示出对同时和比例的3-DoF控制有希望的性能.
- 虚拟假肢系统促进了对这些先进的控制范式的评估.
- 预先的可用性评估表明了改善用户体验的潜力.
结论:
- 基于增量学习的控制策略显示了提高上肢假肢功能和可用性的潜力.
- 需要对包括截肢者在内的更大群体进行进一步的研究,以充分验证这些控制方法.
相关概念视频
01:20Motor Unit Stimulation
When the neuron of a motor unit fires an action potential, it triggers a series of events, leading to a twitch contraction in the muscle fibers. The process of excitation-contraction coupling is crucial in relaying the action potential to the muscle fibers.
The latent period of contraction marks the onset of excitation-contraction coupling, when the action potential propagates across the sarcolemma, preparing the muscle fibers for contraction. As the fibers enter the contraction phase, the...
The latent period of contraction marks the onset of excitation-contraction coupling, when the action potential propagates across the sarcolemma, preparing the muscle fibers for contraction. As the fibers enter the contraction phase, the...
01:07Time-Domain Interpretation of PD Control
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
Consider the example of control of motor torque. Initially, a positive...