在假肢闭环控制的sEMG上实时自适应取消TENS反文物
Byungwook Lee1, Kyung-Soo Kim1, Younggeol Cho2
1Department of Mechanical Engineering, Mechatronics Systsems and Control, Korea Advanced Institute of Science and Technology, Deajeon, Republic of Korea.
Frontiers in bioengineering and biotechnology
|December 6, 2024
概括
这项研究引入了一种适应方法,可以从表面电肌图 (sEMG) 信号中去除皮肤间电神经刺激 (TENS) 器件. 该技术通过提高信号质量以更好地估计意图,显著改善了假肢手的控制.
科学领域:
- 生物医学工程 生物医学工程
- 神经修复品是一种神经修复品.
- 信号处理 信号处理
背景情况:
- 假肢手旨在使用生物信号恢复功能,例如表面电肌图 (sEMG) 和通过皮肤电神经刺激 (TENS) 传感反.
- 用于感官反的TENS可以引入干扰sEMG信号的"工件",降低假肢手的控制.
- 在先进的假肢系统中,有效的工件移除对于可靠的意图估计至关重要.
研究的目的:
- 开发和验证一种适应性人工物去除方法,用于对sEMG信号的TENS干扰.
- 通过提高sEMG信号质量来提高假肢手的意图估计的性能.
- 在线和线下实验环境中证明拟议方法的有效性.
主要方法:
- 建议采用修改后的最小平均平方自适应波器的自适应物去除方法.
- 过器利用先前的文物介质作为参考信号,并纳入先前的TENS系统信息.
- 时间分离被用于对文物进行区分,以提高移除效率,在四个sEMG信号上进行验证.
主要成果:
- 适应性过方法显著提高了信号噪声比 (SNR) 平均10.3dB.
- 实时假肢手控制实验 (目标达到实验 - TRE) 显示性能恢复到没有TENS干扰的水平.
- 该方法在可变条件和在线模拟中显示出高的工件清除效率.
结论:
- 拟议的自适应性人工物去除方法有效地取消了TENS诱导的人工物从sEMG信号中.
- 这种技术大大提高了信号质量,这对于基于TENS的假肢反系统中准确的意图估计至关重要.
- 这些发现为更可靠,功能更强的神经假肢设备铺平了道路.
关键词:
十几十个 十几适应性过器适应性过器工艺品 工艺品是一种工艺品.假肢手是一种手的假肢.感官反是一种感官反.表面电力学图 (surface electromyography) 是一种表面电力学图.更多相关视频
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