硬件特征
帕金森病游戏化远程康复系统综述的硬件特征数据集,包含24篇文献的硬件配置与疗效信息。

基本信息
资源简介
硬件特征
【数据集背景】
本数据集源站标题为《Hardware features.》。源站首次发布:2025-08-29。
【数据内容】
源站原始描述:Objective A scoping review was conducted to explore what is known about gamification-based tele-rehabilitation (GBT) to enable physical therapy in home settings for people with Parkinson’s disease (PD). Methods The peer-reviewed literature (OVID Medline, OVID EMBASE, CINAHL EBSCO, and Scopus databases) was searched from January 2010 to May 2024, and 24 articles met the inclusion criteria. The methodological quality of the studies was assessed using the Downs and Black evaluation tool, and levels…
【数据结构与技术规格】
文件数 1 个,合计 9.73 KB。Table 6.xls:application/vnd.ms-excel,9.73 KB。数据集 DOI:10.1371/journal.pone.0326705.t006。
【主题与分类】
源站学科分类:Medicine、Biotechnology、Evolutionary Biology、Cancer、Science Policy、Mental Health。主题标签:small sample sizes、parkinson &# 8217、black evaluation tool、24 articles met、thirteen studies customized、eight studies reported、eight studies indicated、enable physical therapy、effective physical therapy、fair methodological quality。
【适用方向】
文本类数据可用于医学自然语言处理,如命名实体识别、信息抽取与文本分类。
【获取与许可】
源站页面:https://plos.figshare.com/articles/dataset/Hardware_features_/30013245
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Norouzi-Ghazbi, Somayeh; Mirbaha, Shaghayegh; Li, Zoe; Andrysek, Jan; Goldstein, Roger; Hitzig, Sander L. (2025). Hardware features.. PLOS ONE. Dataset
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:Hardware features.
- DOI:10.1371/journal.pone.0326705.t006
- 发布日期:2025-08-29
- 文件数:1 个
- 文件总体积:9.73 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Hardware_features_/30013245
命令行下载
curl -L -o "Table 6.xls" "https://ndownloader.figshare.com/files/57514266"
文件清单
Table 6.xls(9.73 KB)
文件总体积 9.73 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
Objective
A scoping review was conducted to explore what is known about gamification-based tele-rehabilitation (GBT) to enable physical therapy in home settings for people with Parkinson’s disease (PD).
Methods
The peer-reviewed literature (OVID Medline, OVID EMBASE, CINAHL EBSCO, and Scopus databases) was searched from January 2010 to May 2024, and 24 articles met the inclusion criteria. The methodological quality of the studies was assessed using the Downs and Black evaluation tool, and levels of evidence were assigned using a modified Sackett scale.
Results
The majority of the 24 studies were of poor to fair methodological quality (83%), and all used a quantitative design with small sample sizes. The focus of the included studies was to enhance whole-body rehabilitation, with most addressing the upper extremities. Thirteen studies customized their games, whereas others utilized strictly commercial systems (n = 11). Eight studies reported no adverse events while the rest did not report on these. Eight studies indicated that participants maintained high levels of motivation and adherence in home settings.
Conclusion
GBT has the potential to offer a safe, engaging and effective physical therapy to the PD population in home settings, but further research is warranted to help delineate clearer implementation considerations.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0326705.t006(source: https://plos.figshare.com/articles/dataset/Hardware_features_/30013245)。
数据缺失?
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