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
dataset. 

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.

与本数据集相关的同行评审论文现已发表在《Scientific Data》期刊上，可通过以下链接访问：https://www.nature.com/articles/sdata201820。请在使用数据集时引用此论文。开放的临床试验数据为全球研究人员评估新假设、验证已发表的成果以及为医学研究领域的科学进步开展合作提供了宝贵的机会。在此，我们呈现了一个用于无创检测心血管疾病（CVD）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。数据集涵盖了20至89岁的年龄范围，并记录了包括高血压和糖尿病在内的疾病情况。数据采集是在标准实验条件和规范的控制下进行的。该数据集可用于进行光电容积描记图（PPG）信号质量评估研究，并探索PPG波形与心血管疾病之间的内在联系，以发现和评估PPG信号中包含的潜在特征信息。此外，这些数据还可用于研究高血压等常见心血管疾病以及糖尿病等相关疾病的早期和非侵入性筛查。