PPG-BP Database

The peer-reviewed paper associated with this dataset has now been published in Scientific Data, and can be accessed here: https://www.nature.com/articles/sdata201820. Please cite this when using the<br> dataset. <br> 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.本数据集对应的同行评议论文已发表于《科学数据（Scientific Data）》期刊，可通过以下链接获取：https://www.nature.com/articles/sdata201820。使用本数据集时，请引用该论文。 公开的临床试验数据为全球科研人员提供了宝贵契机，可用于验证新假说、复现已发表研究成果，并助力医学研究领域的科学进步与跨团队协作。 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，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记录。 数据采集工作严格遵循标准实验条件与规范开展。 本数据集可用于光电容积描记（photoplethysmograph, PPG）信号的质量评估研究，探索PPG波形与心血管疾病之间的内在关联，从而挖掘并评估PPG信号中蕴含的潜在特征信息。 本数据集亦可用于常见心血管疾病（如高血压）及糖尿病等相关心血管疾病的早期无创筛查研究。