The dataset of photoplethysmography signals collected from a pulse sensor to measure blood glucose level

Non-invasive monitoring and surveillance methods of blood glucose measurement can provide ease of use and simplicity for different individuals while reducing the risks and damages of invasive methods. The non-invasive method based on photoplethysmography (PPG) signal is one of the innovative methods on this topic which numerous studies have been conducted by research centers and various companies. However, due to various reasons, the reviewed dataset was not available and no standard dataset has been published on this topic. The presented dataset, which was sampled by the research team of the digital systems of the University of Science and Technology in Mazandaran, Behshahr, Iran, includes 67 raw PPG signals with 2175 Hz sampling frequency along with labeled data: age, gender, and the invasive blood glucose level which can be used in other studies and learning algorithms.血糖检测的无创监测与监控方法，可为各类使用者带来便捷易用的操作体验，同时降低有创检测方式引发的风险与损伤。基于光电容积描记法（photoplethysmography, PPG）信号的无创检测方法是该领域的创新研究方向之一，目前已有众多研究机构与各类企业围绕此开展了大量研究工作。然而受诸多因素制约，当前经综述梳理的相关数据集尚未公开，且该领域暂无已正式发布的标准数据集。本数据集由伊朗马赞德兰省巴什赫尔市科学技术大学数字系统研究团队采集构建，包含67条采样频率为2175 Hz的原始PPG信号，以及标注有年龄、性别与有创血糖值的配套标注数据，可用于后续相关研究与学习算法的开发与验证。