虚拟现实与传统方法在PICS综合征认知康复中的比较

该数据集包含30名PICS综合征患者的认知康复临床试验数据,比较了虚拟现实与传统方法的有效性,包括神经心理学评估结果。

Figshare
2025-05-12 更新
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表格Neuropsychological rehabilitationPICS syndromevirtual reality
Comparing virtual reality with traditional methods in cognitive rehabilitation in PICS syndrome

基本信息

模态
表格
大小
0.000022501 GB
许可
CC BY 4.0
创建/更新时间
2025-05-12
版本
v1

资源简介

虚拟现实与传统方法在PICS综合征认知康复中的比较

【数据集背景】

本数据集源站标题为《Comparing virtual reality with traditional methods in cognitive rehabilitation in PICS syndrome》。配套论文《Comparing virtual reality with traditional methods in cognitive rehabilitation in PICS syndrome》发表于 Applied Neuropsychology: Adult(2025),DOI:10.1080/23279095.2025.2477184。项目资助方:This study has been conducted as part of the “REACT” (“Virtual Reality Medical Rehabilitation”) project implemented by NKUA, NOUS VR Ltd and STRATIS Ltd in the framework of the RESEARCH-CREATE-INNOVATE Action and co-financed by European Regional Development Fund and national resources through the Operational Program Competitiveness, Entrepreneurship & Innovation.。源站首次发布:2025-05-12。

【数据内容】

源站原始描述:Post Intensive Care Unit Syndrome (PICS) manifests deficits in physical, cognitive, and mental functions following ICU hospitalization and complicates the recovery process. The clinical trial aimed to assess the impact of neuropsychological rehabilitation on cognitive deficits arising from ICU hospitalization. Additionally, it sought to compare the effectiveness of VR-based rehabilitation with traditional methods and investigate the safety and feasibility of VR intervention. Thirty participants…

【数据结构与技术规格】

文件数 2 个,合计 22.50 KB。hapn_a_2477184_sm2359.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,9.86 KB。hapn_a_2477184_sm2358.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,12.64 KB。数据集 DOI:10.6084/m9.figshare.29042962.v1。

【主题与分类】

源站学科分类:Medicine、Neuroscience、Biotechnology、Biological Sciences not elsewhere classified、Mental Health。主题标签:Neuropsychological rehabilitation、PICS syndrome、virtual reality。

【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://tandf.figshare.com/articles/dataset/Comparing_virtual_reality_with_traditional_methods_in_cognitive_rehabilitation_in_PICS_syndrome/29042962

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Comparing virtual reality with traditional methods in cognitive rehabilitation in PICS syndrome. Taylor & Francis. Despoti, A.; Patsaki, I.; Alexandropoulou, A.; Magkouti, E.; Tzoumi, D.; Leventakis, N.; et al

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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。

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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)

命令行下载

curl -L -o "hapn_a_2477184_sm2359.docx" "https://ndownloader.figshare.com/files/54472243"
curl -L -o "hapn_a_2477184_sm2358.docx" "https://ndownloader.figshare.com/files/54472246"

文件清单

  • hapn_a_2477184_sm2359.docx(9.86 KB)
  • hapn_a_2477184_sm2358.docx(12.64 KB)

文件总体积 22.50 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

Post Intensive Care Unit Syndrome (PICS) manifests deficits in physical, cognitive, and mental functions following ICU hospitalization and complicates the recovery process.
The clinical trial aimed to assess the impact of neuropsychological rehabilitation on cognitive deficits arising from ICU hospitalization. Additionally, it sought to compare the effectiveness of VR-based rehabilitation with traditional methods and investigate the safety and feasibility of VR intervention.
Thirty participants were divided into experimental and control groups. The experimental group underwent cognitive training using VR, while the control group utilized traditional methods. Neuropsychological assessments (Addenbrooke’s Cognitive Examination-Revised (ACE-R), Frontal Assessment Battery (FAB), and Geriatric Depression Scale (GDS)) were conducted before and after a 12-session intervention (three times a week for four weeks).
Regardless of the intervention type, participants exhibited statistically significant improvements in general cognitive function (p = 0.02), attention (p = 0.016), visuospatial (p = 0.03), and executive functions (p = 0.011). The experimental group showed greater improvement in visuospatial function (p = 0.011), while the control group demonstrated enhanced language fluency (p = 0.019). Correlations between cognitive functions were observed in baseline measures and their differences. VR was found to be a safe, suitable, and enjoyable rehabilitation method, as indicated by Suitability Evaluation Questionnaire (SEQ) scores, with a mean of 60.7 (SD = 5.5).
These preliminary data suggest that VR can be effective in the rehabilitation of cognitive functions in ICU survivors with PICS, especially in visuospatial abilities. Large-scale longitudinal clinical trials involving diverse patient groups are needed to explore the long-term impact of VR interventions on cognitive functions.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.29042962.v1(source: https://tandf.figshare.com/articles/dataset/Comparing_virtual_reality_with_traditional_methods_in_cognitive_rehabilitation_in_PICS_syndrome/29042962)。

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