Institute for Electronics Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91058, Erlangen, Germany.
Chair of Electronics and Sensor Systems, Brandenburg University of Technology, 03046, Cottbus, Germany.
Sci Data. 2020 Feb 13;7(1):50. doi: 10.1038/s41597-020-0390-1.
Radar systems allow for contactless measurements of vital signs such as heart sounds, the pulse signal, and respiration. This approach is able to tackle crucial disadvantages of state-of-the-art monitoring devices such as the need for permanent wiring and skin contact. Potential applications include the employment in a hospital environment but also in home care or passenger vehicles. This dataset consists of synchronised data which are acquired using a Six-Port-based radar system operating at 24 GHz, a digital stethoscope, an ECG, and a respiration sensor. 11 test subjects were measured in different defined scenarios and at several measurement positions such as at the carotid, the back, and several frontal positions on the thorax. Overall, around 223 minutes of data were acquired at scenarios such as breath-holding, post-exercise measurements, and while speaking. The presented dataset contains reference-labeled ECG signals and can therefore easily be used to either test algorithms for monitoring the heart rate, but also to gain insights about characteristic effects of radar-based vital sign monitoring.
雷达系统允许对生命体征进行非接触式测量,如心音、脉搏信号和呼吸。这种方法能够解决最先进的监测设备的关键缺点,例如需要永久布线和皮肤接触。潜在的应用包括在医院环境中的使用,也包括家庭护理或客运车辆。该数据集包含使用工作在 24GHz 的六端口雷达系统、数字听诊器、心电图和呼吸传感器同步采集的数据。11 名测试对象在不同的定义场景和多个测量位置(如颈动脉、背部和胸部的几个前位)进行了测量。总的来说,在呼吸暂停、运动后测量和说话等场景中采集了大约 223 分钟的数据。该数据集包含带参考标签的心电图信号,因此可以很容易地用于测试监测心率的算法,也可以深入了解基于雷达的生命体征监测的特征效应。