Continuous Cuffless Monitoring of Arterial Blood Pressure via Graphene Bioimpedance Tattoos

Continuous monitoring of arterial blood pressure (BP) in non-clinical (ambulatory) settings is essential for a proper understanding of numerous health conditions. While conventional ambulatory BP devices exist, they are uncomfortable, bulky, and intrusive. In this work, we introduce a dataset of BP measurement using atomically-thin graphene electronic tattoos (GETs) and bioimpedance (Bio-Z) as measurement modality. The Bio-Z is measured from radial and ulnar arteries on the wrist. Afterward, a machine learning regression model is employed to relate the recorded bioimpedance to BP, yielding an effective beat-to-beat BP monitoring platform. In this database, we are sharing the raw time data for the 4-channel GET Bioimpedance signals with BP and PPG signals. The GETs are used to monitor arterial blood pressure from N=7 individuals for 300+ minutes each. A medical-grade BP monitoring device, Finapres NOVA, was used to measure the subject's control BP during the experiments. On average, each participant underwent 4±1 hours of continuous BP monitoring. Altogether, we performed on average ~2500±600 BP measurements per participant, which resulted in a total of 18667 datapoints.

在非临床（门诊）环境中对动脉血压（BP）的持续监测对于充分理解众多健康状态至关重要。虽然现有的门诊血压监测设备存在，但它们往往不适、体积庞大且侵入性较强。在本项研究中，我们提出了一种使用原子级薄石墨烯电子纹身（GETs）和生物阻抗（Bio-Z）作为测量方法的血压测量数据集。Bio-Z是通过测量手腕处的桡动脉和尺动脉来获得的。随后，采用机器学习回归模型将记录的生物阻抗与血压相关联，从而形成一个有效的逐跳血压监测平台。在本数据库中，我们分享了4通道GET生物阻抗信号与血压和PPG信号的原始时间数据。GETs被用于监测N=7名个体的动脉血压，持续300分钟以上。在实验过程中，使用医疗级血压监测设备Finapres NOVA测量了受试者的控制血压。平均而言，每位参与者接受了4±1小时的连续血压监测。总计，每位参与者平均进行了2500±600次血压测量，产生了总计18667个数据点。