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相关概念视频

Introduction to R01:11

Introduction to R

397
R is a powerful software environment for statistical computing and graphics. Originating as an implementation of the S language, developed at Bell Laboratories, R has evolved into a robust, open-source statistical software favored by statisticians and data scientists worldwide. Its comprehensive suite includes data manipulation, calculation, and graphical display capabilities, making it versatile for data analysis and visualization. Its programming language is at the core of R's...
397

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相关实验视频

Updated: Jul 17, 2025

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
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从体力活动数据中表征和量化性:R中的一个教程

Dario Baretta1, Sarah Koch2, Inés Cobo2

  • 1Institute of Psychology, University of Bern, Fabrikstrasse 8, 3012, Bern, Switzerland.

Psychology of sport and exercise
|September 4, 2023
PubMed
概括

这项研究引入了一种新的方法来量化体育活动中的性,衡量个人如何从COVID-19锁定等压力因素中恢复. 该方法有助于评估和管理干扰对一致运动习惯的影响.

关键词:
它们的AUC AUC.身体活动 身体活动在R教程教程.恢复力 恢复力时间序列时间序列可穿戴设备是可以穿戴的.

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A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers
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相关实验视频

Last Updated: Jul 17, 2025

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科学领域:

  • 行为科学 行为科学
  • 生物医学工程 生物医学工程
  • 运动科学 运动科学 运动科学

背景情况:

  • 持续的体力活动对健康至关重要,但容易受到干扰.
  • 弹性,即从压力因素中恢复并恢复到基线活动的能力,对于维持身体活动至关重要.
  • 量化性对于理解和管理压力因素对身体活动的影响至关重要.

研究的目的:

  • 提出一种新的方法来量化体力活动时间序列数据中的弹性.
  • 适应现有的弹性运行 (曲线下的区域) 以适应体力活动.
  • 为研究人员提供方法指南和R实施.

主要方法:

  • 从心理性研究中利用了"曲线下的区域"概念.
  • 将生长模型应用于体力活动时间序列 (步数),以确定恢复点.
  • 基于恢复时间和大小的模型选择和量化弹性,利用根平均平方误差 (RMSE).

主要成果:

  • 八名参与者在COVID-19封锁后的步数数据中的量化弹性.
  • 展示了一种识别恢复时间和计算弹性作为曲线下的面积的方法.
  • 提取了额外的弹性特征,以捕捉恢复过程的各个方面.

结论:

  • 开发的方法提供了体力活动中的弹性量的量化衡量.
  • 这种方法可以帮助研究人员更好地了解和跟踪影响身体活动的压力因素的恢复.
  • 促进进一步研究体育活动的弹性及其对健康和福祉的影响.