five

Koster et al. - Balance training in older adults enhances feedback control after perturbations - data & code

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://zenodo.org/record/13750649
下载链接
链接失效反馈
官方服务:
资源简介:
Data & code for:  Balance training in older adults enhances feedback control after perturbations R A J Koster, L Alizadehsaravi, W Muijres, S M Bruijn, N Dominici, J H van Dieen   This folder contains two subfolders: Code & Data. The folder Code contains the MATLAB scripts used to analyse the data contained within the folder Data. Scripts/ ·      RK_Analysis_Kinematics.m: This is the main script used to analyse the kinematics. Running it will compute the kinematic parameters investigated in the paper and contrast them between conditions. Visualisations of these as well as the statistical results will be stored in the newly created folder /Data/Processed/Figures/Kinematics/ ·      RK_Analysis_Synergies.m: This is the main script used to analyse the EMG activity. Running it will compute the synergies from the EMGs and contrast them between conditions. Visualisations of these as well as the statistical results will be stored in the newly created folder /Data/Processed/Figures/Synergies/ ·      Subfunctions/: This folder contains all scripts used within the two main scripts. These scripts are subdivided into 3 folders (General/, Kinematics analysis/, Synergy analysis/) based on which part of the analysis they belong to. o   General/spmi1d/: The external toolbox used to perform the statistics. o   Kinematics analysis/=VU 3D model=/: the VU 3D model used to compute kinematic parameters from the trajectories of individual body segments. Data/ ·      EMG/: Contains the raw EMG data for each participant & recording. ·      Excel sheets/: Contains participant & recording information sheets. This is used to determine on which leg the participant was standing. ·      PT/: Contains information about the rotating platform the participants were standing on for every recording. This is used to determine perturbation onset and direction. ·      Trajectory/: Contains the trajectories of the participant’s body segments during the recordings. ·      Processed/: (This folder is not there initially, but it is added by the 2 main codes) Will contain the kinematic parameters and synergy weights & activation patterns for every condition and participant after they are computed. This folder is also where the results from the analysis will be stored. o   Figures/: For kinematics & synergies separately, will contain figures displaying the parameters and the statistical results. The ‘Stats – X – Y.tiff’ figure files display the ANOVA and post hoc test results. If statistical differences are found, their p-values are reported in the title of the individual plots (Note: for subthreshold results p-values are undefined in such analyses). Additional individual muscle analysis is included in the synergy analysis.

配套数据与代码:老年群体平衡训练可增强扰动后反馈控制能力 作者:R A J Koster、L Alizadehsaravi、W Muijres、S M Bruijn、N Dominici、J H van Dieen 本文件夹包含两个子目录:代码(Code)与数据(Data)。其中代码目录内为用于分析数据目录中数据集的MATLAB脚本。 Scripts/ · RK_Analysis_Kinematics.m:本脚本为运动学分析的主脚本。运行后将计算论文中研究的运动学参数,并对不同实验条件下的参数进行对比。相关可视化结果与统计分析结果将存储于新建目录/Data/Processed/Figures/Kinematics/中。 · RK_Analysis_Synergies.m:本脚本为肌电(Electromyography, EMG)活动分析的主脚本。运行后将从肌电数据中提取协同控制模式,并对比不同实验条件下的模式差异。相关可视化结果与统计分析结果将存储于新建目录/Data/Processed/Figures/Synergies/中。 · Subfunctions/:本目录包含两个主脚本所调用的全部辅助脚本。根据所属分析模块的不同,这些辅助脚本被划分为三个子目录:General/、Kinematics analysis/与Synergy analysis/。 o General/spmi1d/:用于执行统计分析的外部工具箱。 o Kinematics analysis/=VU 3D model=/:VU三维模型,用于从个体身体节段的运动轨迹中计算运动学参数。 Data/ · EMG/:存储每位受试者每次记录的原始肌电数据。 · Excel sheets/:存储受试者信息与记录信息表格,用于确定受试者实验时的站立腿侧。 · PT/:存储每次记录中受试者所站立的旋转平台相关信息,用于确定扰动的起始时刻与方向。 · Trajectory/:存储记录过程中受试者身体节段的运动轨迹数据。 · Processed/:(初始状态下不存在该目录,由两个主脚本自动生成)存储计算完成后各实验条件下每位受试者的运动学参数、协同控制权重与激活模式。本目录同时用于存储分析所得的全部结果。 o Figures/:分别存储运动学与协同控制分析的可视化结果与统计分析结果。其中名为"Stats – X – Y.tiff"的图像文件展示了方差分析(Analysis of Variance, ANOVA)与事后检验的结果。若存在统计学差异,单个绘图的标题中将标注对应的p值(注:此类分析中,亚阈值结果的p值无定义)。协同控制分析中还包含额外的单块肌肉分析内容。
创建时间:
2024-10-30
二维码
社区交流群
二维码
科研交流群
商业服务