高频胸壁振荡联合同步训练对囊性纤维化患者咳嗽的影响

数据集获取

源站：https://clinicaltrials.gov/study/NCT07519460

标准获取流程：

1. 访问源站链接，注册/登录账号；
2. 进入数据集详情页，按页面指引申请权限或直接下载；
3. 部分平台提供 SDK，例如：
   • OpenDataLab: pip install openxlab 后 openxlab.dataset.get(...)
   • ModelScope: pip install modelscope 后 modelscope download
   • 天池: 登录后页面提供直链下载
     以源站「数据下载/使用文档」页面为准。

数据说明

Conditions: Cystic Fibrosis. This randomized clinical trial will evaluate the effects of high-frequency chest wall oscillation (HFCWO) combined with concurrent training on cough, sputum clearance, exercise tolerance, respiratory muscle strength, and quality of life in patients with Cystic Fibrosis. Cystic fibrosis causes thick mucus accumulation in the lungs, leading to chronic infections, airway obstruction, and reduced pulmonary function. A total of 24 participants will be recruited and randomly divided into two groups. Group A will receive HFCWO combined with aerobic and resistance training, while Group B will receive HFCWO alone for 8 weeks. HFCWO will be applied using the SmartVest/Monarch system for 20 minutes per session, while concurrent training will include treadmill walking and resistance exercises. Outcome measures will be assessed before and after treatment using the 6-minute walk test, spirometry, Leicester Cough Questionnaire, sputum volume, and the Cystic Fibrosis Questionnaire-Revised. The study will be conducted at Gulab Devi Hospital and Mayo Hospital, and data will be analyzed using IBM SPSS Statistics with significance set at p < 0.05

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。