虚拟现实疗法用于成人卒中后康复的系统综述与荟萃分析

数据集获取（Figshare）

• 源站标题：Virtual Reality Therapy for Adults Post-Stroke: A Systematic Review and Meta-Analysis Exploring Virtual Environments and Commercial Games in Therapy
• DOI：10.1371/journal.pone.0093318
• 发布日期：2014-03-28
• 文件数：4 个
• 文件总体积：163.04 KB
• 源站页面：https://plos.figshare.com/articles/dataset/_Virtual_Reality_Therapy_for_Adults_Post_Stroke_A_Systematic_Review_and_Meta_Analysis_Exploring_Virtual_Environments_and_Commercial_Games_in_Therapy_/978118

命令行下载

curl -L -o "Appendix_S1.doc" "https://ndownloader.figshare.com/files/1439904"
curl -L -o "Appendix_S2.xlsx" "https://ndownloader.figshare.com/files/1439905"
curl -L -o "Appendix_S3.txt" "https://ndownloader.figshare.com/files/1439906"
curl -L -o "Checklist_S1.doc" "https://ndownloader.figshare.com/files/1439907"

文件清单

• Appendix_S1.doc（65.54 KB）
• Appendix_S2.xlsx（27.44 KB）
• Appendix_S3.txt（2.99 KB）
• Checklist_S1.doc（67.07 KB）

文件总体积 163.04 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

Background
The objective of this analysis was to systematically review the evidence for virtual reality (VR) therapy in an adult post-stroke population in both custom built virtual environments (VE) and commercially available gaming systems (CG).
Methods
MEDLINE, CINAHL, EMBASE, ERIC, PSYCInfo, DARE, PEDro, Cochrane Central Register of Controlled Trials, and Cochrane Database of Systematic Reviews were systematically searched from the earliest available date until April 4, 2013. Controlled trials that compared VR to conventional therapy were included. Population criteria included adults (>18) post-stroke, excluding children, cerebral palsy, and other neurological disorders. Included studies were reported in English. Quality of studies was assessed with the Physiotherapy Evidence Database Scale (PEDro).
Results
Twenty-six studies met the inclusion criteria. For body function outcomes, there was a significant benefit of VR therapy compared to conventional therapy controls, G = 0.48, 95% CI = [0.27, 0.70], and no significant difference between VE and CG interventions (P = 0.38). For activity outcomes, there was a significant benefit of VR therapy, G = 0.58, 95% CI = [0.32, 0.85], and no significant difference between VE and CG interventions (P = 0.66). For participation outcomes, the overall effect size was G = 0.56, 95% CI = [0.02, 1.10]. All participation outcomes came from VE studies.
Discussion
VR rehabilitation moderately improves outcomes compared to conventional therapy in adults post-stroke. Current CG interventions have been too few and too small to assess potential benefits of CG. Future research in this area should aim to clearly define conventional therapy, report on participation measures, consider motivational components of therapy, and investigate commercially available systems in larger RCTs.
Trial Registration
Prospero CRD42013004338

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0093318（source: https://plos.figshare.com/articles/dataset/_Virtual_Reality_Therapy_for_Adults_Post_Stroke_A_Systematic_Review_and_Meta_Analysis_Exploring_Virtual_Environments_and_Commercial_Games_in_Therapy_/978118）。