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Updated: May 24, 2025

Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity
08:40

Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity

Published on: June 12, 2019

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使用平衡优化器对NMESMMG信号的特征选择和随机森林回归的超参数调整来估计肘部曲扭矩

Raphael Uwamahoro1,2, Kenneth Sundaraj2, Farah Shahnaz Feroz2

  • 1Regional Centre of Excellence in Biomedical Engineering and E-Health, University of Rwanda, Kigali, Rwanda.

Frontiers in rehabilitation sciences
|March 6, 2025
PubMed
概括

这项研究使用混合机器学习方法提高了关节扭矩估计,提高了肌肉功能评估的准确性. 一般学习平衡优化器 (GLEO) 优化特征选择和超参数,以便更好地进行生物机械分析.

关键词:
一般学习平衡优化器优化器联合扭矩估计 联合扭矩估计机器学习是机器学习.机械学图 (mechanomyography) 是一个机械学图.神经肌肉电刺激是一种神经肌肉电刺激.

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On...
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