Lei Guangyu, Cheng Wei, Yin Xipeng, Wu Yuqing
School of Electronic Information, Northwestern Polytechnical University, No.127, Youyi West Road, Xian, 710072, Shaanxi, China.
Data Brief. 2024 Oct 12;57:111027. doi: 10.1016/j.dib.2024.111027. eCollection 2024 Dec.
The dataset presents the raw data of respiration and heartbeat of two human subjects monitored by 60GHz Frequency-Modulated Continuous Wave (FMCW) radar and the validation data obtained by the electrocardiogram (ECG) front-end. During the radar-based vital signs monitoring, the subjects were simultaneously equipped with the ECG front-end, integrated with an Arduino board, to collect muscle electric signal waveforms, which enabled the estimation of the actual number of respirations and heartbeats of the subjects during the radar monitoring. To assess the impact of radar parameters, as well as the angle and distance between the subjects and the radar, on monitoring accuracy, the dataset classifies the positions of the human subjects within the scene into symmetric and asymmetric cases. Monitoring was conducted using various radar modulation bandwidths across different angles and distances in an open environment where only the human subjects were present. The objective of this dataset is to facilitate the development of a reliable system for monitoring multiple subjects' respiration and heartbeat using a single-view FMCW radar, emphasizing enhancing the radar's ability to distinguish between different targets and improving the accuracy of respiratory and heartbeat rate monitoring.
该数据集展示了由60GHz调频连续波（FMCW）雷达监测的两名人类受试者的呼吸和心跳原始数据，以及通过心电图（ECG）前端获得的验证数据。在基于雷达的生命体征监测过程中，受试者同时配备了与Arduino板集成的ECG前端，以收集肌肉电信号波形，从而能够在雷达监测期间估计受试者的实际呼吸次数和心跳次数。为了评估雷达参数以及受试者与雷达之间的角度和距离对监测准确性的影响，该数据集将场景中人类受试者的位置分为对称和不对称情况。在仅存在人类受试者的开放环境中，使用不同角度和距离下的各种雷达调制带宽进行监测。该数据集的目的是促进开发一种可靠的系统，用于使用单视图FMCW雷达监测多个受试者的呼吸和心跳，重点是增强雷达区分不同目标的能力并提高呼吸和心率监测的准确性。
