改进长期肌电解码,使用带有标签校正的自适应分类器
Sarthak Jain1, Girish Singhal1, Ryan J Smith2
1Department of Electrical Engineering, Indian Institute of Technology Gandhinagar, Gujarat India 382424.
概括
这项研究引入了一种自适应肌电解码算法,该算法可显著降低上肢假体控制中的精度衰减. 这种新的方法保持了长期解码精度在电肌图 (EMG) 信号,以提高假肢性能.
科学领域:
- 生物医学工程 生物医学工程
- 康复机器人 康复机器人
- 神经修复品是一种神经修复品.
背景情况:
- 用于假肢控制的肌电解码算法因肌肉信号变化而随着时间的推移而遭受准确性降解.
- 现有的算法难以适应电肌图 (EMG) 信号的逐渐和快速变化.
研究的目的:
- 开发一种新的自适应性肌电解码算法,用于上肢假肢控制.
- 为了解决和减轻当前肌电系统中观察到的解码精度固有的衰减.
主要方法:
- 拟议的算法利用培训集的无监督,按需更新以适应信号变化.
- 它包含针对慢信号变化的训练数据更新和针对快信号变化的标签校正.
- 肌电数据从一个有能力的用户收集了超过4.5小时的8个不同的手腕运动.
主要成果:
- 适应性算法显示了显著较低的衰变速率,为每小时0.2,而非适应性分类器则为每小时3.3.
- 这表明在长时间内保持解码精度的实质性改进.
结论:
- 开发的自适应算法有效地保持了EMG信号的长期解码精度.
- 这一进步有望提高肌电上肢假肢的整体性能和可靠性.
相关概念视频
02:07Improving Translational Accuracy
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
02:07Improving Translational Accuracy
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...