新冠疫情期间脑瘫高风险婴儿远程康复计划：一项前后对照可行性实验研究数据集
新冠疫情期间脑瘫高风险婴儿远程康复计划的可行性实验研究数据集，包含运动功能评估及干预前后数据。
基本信息
资源简介
新冠疫情期间脑瘫高风险婴儿远程康复计划：一项前后对照可行性实验研究数据集
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集，收录 2 个文件、合计 33.28 KB，主题涵盖 Infants、rehabilitation、physical therapy、telehealth、cerebral palsy，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《Telehealth Program for Infants at Risk of Cerebral Palsy during the Covid-19 Pandemic: A Pre-post Feasibility Experimental Study》。配套论文《Telehealth Program for Infants at Risk of Cerebral Palsy during the Covid-19 Pandemic: A Pre-post Feasibility Experimental Study》发表于 Physical & Occupational Therapy In Pediatrics（2022），DOI：10.1080/01942638.2022.2057209。项目资助方：This work was supported by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – [grant number – Finance code 001] and the Fundção de Amparo à Pesquisa e Inovação do Estado de Santa Catarina (FAPESC 2021TR1534). Tatiane Schlichting received a scholarship financed by the Uniedu/FUMDES (Number: 1423/SED/2019). The CAPES and the Uniedu/FUMDES had no role in the design and conduct of the study.。源站首次发布：2022-03-28。
【数据内容】
源站原始描述：Aim: To verify the effects of a telerehabilitation program for infants at high risk for Cerebral Palsy (CP) during the COVID-19 pandemic. Method: Longitudinal study. Infants were aged 3–18 months corrected age, at risk of developmental delay. The General Movement Assessment or a neurologic examination were performed to identify the risk of CP. Motor function was assessed using the Gross Motor Function Measure-88 (GMFM-88) and the Alberta Infant Motor Scale (AIMS). Caregivers of infants at high r…
中文译文（机器翻译，仅供快速理解，请以原文为准）：目的：验证在COVID-19疫情期间针对脑性瘫痪（CP）高风险婴儿的远程康复项目的效果。 方法：纵向研究。婴儿为矫正年龄3–18个月、有发育迟缓风险者。采用全身运动评估或神经系统检查以识别CP风险。使用粗大运动功能测量-88（GMFM-88）和阿尔伯塔婴儿运动量表（AIMS）评估运动功能。CP高风险婴儿的照护者实施由物理治疗师监督的家庭项目，每周5次，持续12周。该项目包括最佳体位摆放指导、目标导向活动优化、环境丰富化和教育策略。 结果：共招募100名有运动发育迟缓风险的婴儿。18名婴儿被归类为CP高风险，10个家庭完成了远程康复（最终保留率为83%）。未报告不良事件。远程照护项目的依从性较高（90%）。成本较低。我们发现，在干预结束时，GMFM-88各维度评分及总分以及AIMS百分位数均升高。大多数婴儿在GMFM-88上表现出
【数据结构与技术规格】
文件数 2 个，合计 33.28 KB。ipop_a_2057209_sm6050.docx：application/vnd.openxmlformats-officedocument.wordprocessingml.document，14.97 KB。ipop_a_2057209_sm6049.docx：application/vnd.openxmlformats-officedocument.wordprocessingml.document，18.31 KB。数据集 DOI：10.6084/m9.figshare.19429158.v1。
【主题与分类】
源站学科分类：Medicine、Physiology、Sociology、Biological Sciences not elsewhere classified。主题标签：Infants、rehabilitation、physical therapy、telehealth、cerebral palsy。
【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/Telehealth_Program_for_Infants_at_Risk_of_Cerebral_Palsy_during_the_Covid-19_Pandemic_A_Pre-post_Feasibility_Experimental_Study/19429158
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Telehealth Program for Infants at Risk of Cerebral Palsy during the Covid-19 Pandemic: A Pre-post Feasibility Experimental Study. Taylor & Francis. Schlichting, Tatiane; da Silva, Kaitiana Martins; Moreira, Rafaela Silva; de Moraes, Marcus Vinícius Marques; Rocha, Nelci Adriana Cicuto Ferreira; Boyd…
【使用注意】
· 源站最后修改于 2023-06-02，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：Telehealth Program for Infants at Risk of Cerebral Palsy during the Covid-19 Pandemic: A Pre-post Feasibility Experimental Study
- DOI：10.6084/m9.figshare.19429158.v1
- 发布日期：2022-03-28
- 文件数：2 个
- 文件总体积：33.28 KB
- 源站页面：https://tandf.figshare.com/articles/dataset/Telehealth_Program_for_Infants_at_Risk_of_Cerebral_Palsy_during_the_Covid-19_Pandemic_A_Pre-post_Feasibility_Experimental_Study/19429158
命令行下载
curl -L -o "ipop_a_2057209_sm6050.docx" "https://ndownloader.figshare.com/files/34523100"
curl -L -o "ipop_a_2057209_sm6049.docx" "https://ndownloader.figshare.com/files/34523103"
文件清单
ipop_a_2057209_sm6050.docx（14.97 KB）ipop_a_2057209_sm6049.docx（18.31 KB）
文件总体积 33.28 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
Aim: To verify the effects of a telerehabilitation program for infants at high risk for Cerebral Palsy (CP) during the COVID-19 pandemic.
Method: Longitudinal study. Infants were aged 3–18 months corrected age, at risk of developmental delay. The General Movement Assessment or a neurologic examination were performed to identify the risk of CP. Motor function was assessed using the Gross Motor Function Measure-88 (GMFM-88) and the Alberta Infant Motor Scale (AIMS). Caregivers of infants at high risk of CP applied a home-based program supervised by a Physical therapist, five times a week over 12 weeks. The program included guidance for optimal positioning, optimization of goal-directed activities, environmental enrichment, and educational strategies.
Results: 100 infants at risk for delayed motor development were recruited. Eighteen infants were classified at high risk of CP, and 10 families completed telerehabilitation (83% final retention rate). No adverse events were reported. Adherence to the telecare program was high (90%). The costs were low. We found increased scores for all dimensions and the total score of the GMFM-88, and the AIMS percentile at the end of the intervention. Most infants presented a clinically significant change for the GMFM-88.
Conclusions: The telecare program was feasible.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.19429158.v1（source: https://tandf.figshare.com/articles/dataset/Telehealth_Program_for_Infants_at_Risk_of_Cerebral_Palsy_during_the_Covid-19_Pandemic_A_Pre-post_Feasibility_Experimental_Study/19429158）。
数据缺失？
依托陕西、四川两大基地，我们与超过十家三甲医院建立直接合作关系，覆盖合规授权、采集治理、专业标注、数据交付的全流程，为AI医疗团队提供即拿即用的高质量临床数据。
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