基于混合现实的中风患者上肢自我训练的可行性研究(表1)
基于混合现实康复板的中风患者上肢自我训练可行性研究的表格数据,包含10名患者的BBT、Fugl-Meyer及WMFT评分等评估结果。

基本信息
资源简介
基于混合现实的中风患者上肢自我训练的可行性研究(表1)
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集,收录 1 个文件、合计 15.09 KB,主题涵盖 augmented reality、equipment、gamification、mixed reality、telerehabilitation,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Table_1_The feasibility of mixed reality-based upper extremity self-training for patients with stroke—A pilot study.DOCX》。配套论文《Combining the benefits of tele-rehabilitation and virtual reality-based balance training: a systematic review on feasibility and effectiveness》发表于 Disability and Rehabilitation: Assistive Technology(2018),DOI:10.1080/17483107.2018.1503738。源站首次发布:2022-09-28。
【数据内容】
源站原始描述:Mixed reality (MR), which combines virtual reality and tangible objects, can be used for repetitive training by patients with stroke, allowing them to be immersed in a virtual environment while maintaining their perception of the real world. We developed an MR-based rehabilitation board (MR-board) for the upper limb, particularly for hand rehabilitation, and aimed to demonstrate the feasibility of the MR-board as a self-training rehabilitation tool for the upper extremity in stroke patients. The…
【数据结构与技术规格】
文件数 1 个,合计 15.09 KB。Table_1_The feasibility of mixed reality-based upper extremity self-training for patients with stroke—A pilot study.DOCX:application/vnd.openxmlformats-officedocument.wordprocessingml.document,15.09 KB。数据集 DOI:10.3389/fneur.2022.994586.s001。
【主题与分类】
源站学科分类:Neurology and Neuromuscular Diseases、Neurogenetics。主题标签:augmented reality、equipment、gamification、mixed reality、telerehabilitation、supplies。
【适用方向】
结构化表格数据可直接用于统计建模、特征工程与队列分析。
【获取与许可】
源站页面:https://frontiersin.figshare.com/articles/dataset/Table_1_The_feasibility_of_mixed_reality-based_upper_extremity_self-training_for_patients_with_stroke_A_pilot_study_DOCX/21219041
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Ham, Yeajin; Yang, Dong-Seok; Choi, Younggeun; Shin, Joon-Ho (2022). Table_1_The feasibility of mixed reality-based upper extremity self-training for patients with stroke—A pilot study.DOCX. Frontiers. Dataset
【使用注意】
· 源站最后修改于 2023-06-16,引用时请注意版本时效。
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。
暂未开放公开下载
无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取(Figshare)
- 源站标题:Table_1_The feasibility of mixed reality-based upper extremity self-training for patients with stroke—A pilot study.DOCX
- DOI:10.3389/fneur.2022.994586.s001
- 发布日期:2022-09-28
- 文件数:1 个
- 文件总体积:15.09 KB
- 源站页面:https://frontiersin.figshare.com/articles/dataset/Table_1_The_feasibility_of_mixed_reality-based_upper_extremity_self-training_for_patients_with_stroke_A_pilot_study_DOCX/21219041
命令行下载
curl -L -o "Table_1_The feasibility of mixed reality-based upper extremity self-training for patients with stroke—A pilot study.DOCX" "https://ndownloader.figshare.com/files/37629155"
文件清单
Table_1_The feasibility of mixed reality-based upper extremity self-training for patients with stroke—A pilot study.DOCX(15.09 KB)
文件总体积 15.09 KB(源站 API 实测)。
数据加载示例(图像类)
from PIL import Image
import glob, os
files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)
# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path) # 要求 子目录=类别
目录组织与标注格式以源站说明和下载后实际文件为准。
数据说明
Mixed reality (MR), which combines virtual reality and tangible objects, can be used for repetitive training by patients with stroke, allowing them to be immersed in a virtual environment while maintaining their perception of the real world. We developed an MR-based rehabilitation board (MR-board) for the upper limb, particularly for hand rehabilitation, and aimed to demonstrate the feasibility of the MR-board as a self-training rehabilitation tool for the upper extremity in stroke patients. The MR-board contains five gamified programs that train upper-extremity movements by using the affected hand and six differently shaped objects. We conducted five 30-min training sessions in stroke patients using the MR-board. The sensor measured hand movement and reflected the objects to the monitor so that the patients could check the process and results during the intervention. The primary outcomes were changes in the Box and Block Test (BBT) score, and the secondary outcomes were changes in the Fugl–Meyer assessment and Wolf Motor Function Test (WMFT) scores. Evaluations were conducted before and after the intervention. In addition, a usability test was performed to assess the patient satisfaction with the device. Ten patients with hemiplegic stroke were included in the analysis. The BBT scores and shoulder strength in the WMFT were significantly improved (p This study was registered with the Clinical Research Information Service (CRIS: KCT0004167).
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/fneur.2022.994586.s001(source: https://frontiersin.figshare.com/articles/dataset/Table_1_The_feasibility_of_mixed_reality-based_upper_extremity_self-training_for_patients_with_stroke_A_pilot_study_DOCX/21219041)。
数据缺失?
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