PPG-BP Database

Open clinical trial data provide a valuable opportunity for researchers worldwide to assess new hypotheses, validate published results, and collaborate for scientific advances in medical research. Here, we present a health dataset for the non-invasive detection of cardiovascular disease (CVD), containing 657 data records from 219 subjects. The dataset covers an age range of 20–89 years and records of diseases including hypertension and diabetes. Data acquisition was carried out under the control of standard experimental conditions and specifications. This dataset can be used to carry out the study of photoplethysmograph (PPG) signal quality evaluation and to explore the intrinsic relationship between the PPG waveform and cardiovascular disease to discover and evaluate latent characteristic information contained in PPG signals. These data can also be used to study early and noninvasive screening of common CVD such as hypertension and other related CVD diseases such as diabetes.

公开临床试验数据为全球科研人员提供了宝贵契机，可助力其验证全新假说、复现已发表研究成果，并携手推动医学研究领域的科学进步。在此，我们发布一款用于心血管疾病（cardiovascular disease, CVD）无创检测的健康数据集，该数据集包含来自219名受试者的657条数据记录。该数据集覆盖20至89岁的年龄区间，收录了高血压、糖尿病等疾病的相关信息。数据采集工作严格遵循标准实验条件与规范开展。本数据集可用于开展光电容积描记术（photoplethysmograph, PPG）信号质量评估相关研究，亦可用于探究PPG波形与心血管疾病之间的内在关联，以挖掘并评估PPG信号中蕴含的潜在特征信息。此外，该数据集还可用于开展高血压等常见心血管疾病及糖尿病等相关心血管疾病的早期无创筛查研究。

搜集汇总

背景与挑战

背景概述

PPG-BP Database是一个用于心血管疾病非侵入性检测的健康数据集，包含来自219名受试者的657条数据记录，年龄范围20-89岁，涵盖高血压和糖尿病等疾病信息。该数据集在标准实验条件下采集，主要用于研究光电容积描记（PPG）信号质量评估、探索PPG波形与心血管疾病的关系，以及支持高血压和糖尿病等疾病的早期非侵入性筛查研究。