智能手机和可穿戴设备检测老年人房性心律失常病例发现研究数据表1

数据集获取（Figshare）

• 源站标题：Data_Sheet_1_Remote Design of a Smartphone and Wearable Detected Atrial Arrhythmia in Older Adults Case Finding Study: Smart in OAC – AFNET 9.pdf
• DOI：10.3389/fcvm.2022.839202.s001
• 发布日期：2022-03-21
• 文件数：1 个
• 文件总体积：397.55 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Remote_Design_of_a_Smartphone_and_Wearable_Detected_Atrial_Arrhythmia_in_Older_Adults_Case_Finding_Study_Smart_in_OAC_AFNET_9_pdf/19389107

命令行下载

curl -L -o "Data_Sheet_1_Remote Design of a Smartphone and Wearable Detected Atrial Arrhythmia in Older Adults Case Finding Study: Smart in OAC – AFNET 9.pdf" "https://ndownloader.figshare.com/files/34442264"

文件清单

• Data_Sheet_1_Remote Design of a Smartphone and Wearable Detected Atrial Arrhythmia in Older Adults Case Finding Study: Smart in OAC – AFNET 9.pdf（397.55 KB）

文件总体积 397.55 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

IntroductionScreening for atrial fibrillation and timely initiation of oral anticoagulation, rhythm management, and treatment of concomitant cardiovascular conditions can improve outcomes in high-risk populations. Whether wearables can facilitate screening in older adults is not known.
Methods and AnalysesThe multicenter, international, investigator-initiated, single-arm case-finding Smartphone and wearable detected atrial arrhythmia in older adults case finding study (Smart in OAC – AFNET 9) evaluates the diagnostic yield of a validated, cloud-based analysis algorithm detecting atrial arrhythmias via a signal acquired by a smartphone-coupled wristband monitoring system in older adults. Unselected participants aged ≥65 years without known atrial fibrillation and not receiving oral anticoagulation are enrolled in three European countries. Participants undergo continuous pulse monitoring using a wristband with a photo plethysmography (PPG) sensor and a telecare analytic service. Participants with PPG-detected atrial arrhythmias will be offered ECG loop monitoring. The study has a virtual design with digital consent and teleconsultations, whilst including hybrid solutions. Primary outcome is the proportion of older adults with newly detected atrial arrhythmias (NCT04579159).
DiscussionSmart in OAC – AFNET 9 will provide information on wearable-based screening for PPG-detected atrial arrhythmias in Europe and provide an estimate of the prevalence of atrial arrhythmias in an unselected population of older adults.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fcvm.2022.839202.s001（source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Remote_Design_of_a_Smartphone_and_Wearable_Detected_Atrial_Arrhythmia_in_Older_Adults_Case_Finding_Study_Smart_in_OAC_AFNET_9_pdf/19389107）。