步态分析数据集
该数据集包含178名不同阶段脑瘫患者的1139次步态试验数据,采用高频VICON运动捕捉系统采集的三维坐标数据模态,记录了19个身体标记点的运动轨迹,主要用于脑瘫患者的步态分析、运动功能评估、康复治疗效果监测以及生物力学建模等研究领域。
基本信息
资源简介
该数据集是一个专门用于脑瘫患者步态分析的生物力学数据集,包含来自意大利医院178名不同阶段脑瘫患者的1139次试验数据。数据通过高频VICON运动捕捉系统采集,每个.npy文件包含可变数量的帧,每帧记录19个身体标记点的三维坐标及验证标志。该数据集主要用于步态分析研究、脑瘫患者运动功能评估、康复治疗效果监测以及生物力学建模等领域。
下载信息
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使用方式
数据集获取
git clone https://github.com/lucabergamini/gait-analysis-dataset.git
curl -L -o repo.zip https://github.com/lucabergamini/gait-analysis-dataset/archive/refs/heads/master.zip
unzip repo.zip
源站 README 摘录(使用方式)
gait-analysis-dataset
Raw dataset from “Signal Processing and Machine Learning for Diplegia Classification” and “Gait-Based Diplegia Classification Using LSMT Networks”
Introduction
Diplegia is one of the most common forms of a broad family of motion
disorders named cerebral palsy (CP) affecting the voluntary
muscular system. In recent years, various
classification criteria have been proposed for CP, to assist in diagnosis, clinical decision-making and communication.
Data
Dataset is available HERE.
Our dataset refers to 1139 trials acquired from 178 patients affected by different stages of diplegia using high frequency VICON
cameras in an Italian hospital.
WARNING: some trials may be invalid (e.g. invalid markers throughout the sequence).
X
Each .npy file has a variable number of frames.
For each frame, 19 markers are reported with 3D coordinates (first 3 elements) along with a validation flag.
If you’'re interested in other markers or other medical indicators, please write me an email.
Y
The path to a .npy file is the follow:
base_folder/class_label/subject_label/.npy
Utils
Along with the script employed to extract .npy file, the repo comes with a handy minimal visualizer based on Open3D.
Here are some examples:
<table style=“width:100%”>
<tr>
<th>
<br>Class 0 example.
<th>
<br>Class 1 example.
</tr>
</table>
<table style=“width:100%”>
<tr>
<th>
<p align=“center”>
<img src=“./img/70_3.gif” alt=“Example” width=“75%” height=“75%”>
<br>Class 2 example.
</p>
</th>
<th>
<p align=“center”>
<img src=“./img/114_1.gif” alt=“Example” width=“75%” height=“75%”>
<br>Class 3 example.
</p>
</th>
</tr>
</table>
How to cite
If you have employed our dataset in your research,
please cite both the followings:
@inproceedings{bergamini2017signal,
title={Signal Processing and Machine Learning for Diplegia Classification},
author={Bergamini, Luca and Calderara, Simone and Bicocchi, Nicola and Ferrari, Alberto and Vitetta, Giorgio},
booktitle={International Conference on Image Analysis and Processing},
pages={97108},
year={2017},
organization={Springer}
> 完整仓库:[github.com/lucabergamini/gait-analysis-dataset](https://github.com/lucabergamini/gait-analysis-dataset)
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