医生解读光电容积描记法和心电图追踪检测房颤的准确性：INTERPRET-AF

数据集获取（Figshare）

• 源站标题：Data_Sheet_4_Accuracy of Physicians Interpreting Photoplethysmography and Electrocardiography Tracings to Detect Atrial Fibrillation: INTERPRET-AF.PDF
• DOI：10.3389/fcvm.2021.734737.s004
• 发布日期：2021-09-20
• 文件数：1 个
• 文件总体积：17.61 MB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Data_Sheet_4_Accuracy_of_Physicians_Interpreting_Photoplethysmography_and_Electrocardiography_Tracings_to_Detect_Atrial_Fibrillation_INTERPRET-AF_PDF/16642699

命令行下载

curl -L -o "Data_Sheet_4_Accuracy of Physicians Interpreting Photoplethysmography and Electrocardiography Tracings to Detect Atrial Fibrillation: INTERPRET-AF.PDF" "https://ndownloader.figshare.com/files/30819733"

文件清单

• Data_Sheet_4_Accuracy of Physicians Interpreting Photoplethysmography and Electrocardiography Tracings to Detect Atrial Fibrillation: INTERPRET-AF.PDF（17.61 MB）

文件总体积 17.61 MB（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

Aims: This study aims to compare the performance of physicians to detect atrial fibrillation (AF) based on photoplethysmography (PPG), single-lead ECG and 12-lead ECG, and to explore the incremental value of PPG presentation as a tachogram and Poincaré plot, and of algorithm classification for interpretation by physicians.
Methods and Results: Email invitations to participate in an online survey were distributed among physicians to analyse almost simultaneously recorded PPG, single-lead ECG and 12-lead ECG traces from 30 patients (10 in sinus rhythm (SR), 10 in SR with ectopic beats and 10 in AF). The task was to classify the readings as ‘SR’‘, ‘ectopic/missed beats’‘, ‘AF’‘, ‘flutter’’ or ‘unreadable’'. Sixty-five physicians detected or excluded AF based on the raw PPG waveforms with 88.8% sensitivity and 86.3% specificity. Additional presentation of the tachogram plus Poincaré plot significantly increased sensitivity and specificity to 95.5% (P Conclusion: Physicians can detect AF on a PPG output with equivalent accuracy compared to single-lead ECG, if the PPG waveforms are presented together with a tachogram and Poincaré plot and the quality of the recordings is high.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fcvm.2021.734737.s004（source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_4_Accuracy_of_Physicians_Interpreting_Photoplethysmography_and_Electrocardiography_Tracings_to_Detect_Atrial_Fibrillation_INTERPRET-AF_PDF/16642699）。