评估基于光电容积描记法的脉搏波参数和复合评分用于心脏功能评估的数据集（与超声心动图比较）

数据集获取（Figshare）

• 源站标题：Data analyzed for the article of <b>Evaluating photoplethysmography-based pulsewave parameters and composite scores for assessment of cardiac function: A comparison with echocardiography</b>
• DOI：10.6084/m9.figshare.28632488.v1
• 发布日期：2025-03-20
• 文件数：1 个
• 文件总体积：50.56 KB
• 源站页面：https://figshare.com/articles/dataset/Data_analyzed_for_the_article_of_b_Evaluating_photoplethysmography-based_pulsewave_parameters_and_composite_scores_for_assessment_of_cardiac_function_A_comparison_with_echocardiography_b_/28632488

命令行下载

curl -L -o "PPG_Echo_raw data_from PPG_echo_4.0_HR_parciálissal.xlsx" "https://ndownloader.figshare.com/files/53130104"

文件清单

• PPG_Echo_raw data_from PPG_echo_4.0_HR_parciálissal.xlsx（50.56 KB）

文件总体积 50.56 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

The study involved healthy volunteers (n=37, 21 female, 16 male, mean age 37.0, standard deviation: 11.4)), who claimed themselves healthy by filling out a detailed questionnaire, had normal BMI (18 - 25 kg/m2), had no history of smoking, and denied drinking alcohol regularly. Those who had been diagnosed with or had received treatment for diabetes or any CV disease were excluded from the study. Further exclusion criteria involved: pregnancy, previous cancerous disease, wearing false nails; SARS-CoV-2 infection in the last 6 months before the exam. The measurements were conducted at Semmelweis University’'s Városmajor Heart and Vascular Clinic. The study was approved by the Regional and Institutional Committee of Science and Research Ethics at Semmelweis University (Budapest, Hungary) (approval number 120/2018-3). Protocol In this study, we employed simultaneous recordings to capture and compare data from photoplethysmography (PPG) and echocardiography, ensuring synchronized measurement across both methodologies. PPG parameters were calculated by averaging measurements from each heartbeat during continuous recordings over a two-minute period. Concurrently, echocardiographic parameters were derived by averaging the data from 1-3 heartbeats, allowing for a direct comparison of cardiac function assessments between the two techniques, by the following. Echocardiography Blood pressure (BP) was measured thrice using an automatic sphygmomanometer before conducting a cardiac ultrasound scan. During the scan, the participant lay on the examination bed with the upper body undressed, positioned on the left side. 2D echocardiography examinations were performed with a GE Vivid E95 system with a 4Vc-D phased-array transducer (GE Vingmed Ultrasound, Horten, Norway). LV focused, ECG-gated datasets were obtained from parasternal long and short axis, apical four-chamber, apical three-chamber and apical two-chamber views at a minimum rate of 50 frames per second. Offline analyses of these datasets were performed after selecting the optimal heart cycle using commercially available software (Autostrain LV, TOMTEC Imaging Systems GmbH, Unterschleissheim, Germany). The algorithm automa

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.28632488.v1（source: https://figshare.com/articles/dataset/Data_analyzed_for_the_article_of_b_Evaluating_photoplethysmography-based_pulsewave_parameters_and_composite_scores_for_assessment_of_cardiac_function_A_comparison_with_echocardiography_b_/28632488）。