Sun Guanghao, Kurosawa Masaki, Ninomiya Yoshiki, Baba Kohei, Kano Yutaka
Graduate School of Informatics and Engineering, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo 182-8585, Japan.
Data Brief. 2024 Jul 7;55:110722. doi: 10.1016/j.dib.2024.110722. eCollection 2024 Aug.
The dataset presented in this article is an update of the dataset provided by K. Edanami and G. Sun entitled "Medical Radar Signal Dataset for Non-Contact Respiration and Heart Rate Measurement" [1]. The new dataset includes radar signals and reference laser measurements from experiments conducted on anesthetized rats. The rats were placed in a prone position, and isoflurane was administered in varying concentrations to maintain anesthesia. A 24 GHz radar and laser sensor were positioned above the rats to capture the necessary data. The dataset contains time-stamped radar I and Q channel signals as well as laser measurements. Additionally, MATLAB code for signal visualization and FFT (fast Fourier transform)-based respiration rate estimation is provided. This comprehensive dataset and accompanying MATLAB code facilitate the advancement of non-invasive respiration measurement techniques in small animals, with potential applications in biomedical research.
本文所呈现的数据集是由K. 江波南和G. 孙提供的名为《用于非接触式呼吸和心率测量的医学雷达信号数据集》[1]的数据集的更新版本。新数据集包括对麻醉大鼠进行实验时的雷达信号和参考激光测量数据。大鼠被置于俯卧位,通过给予不同浓度的异氟醚来维持麻醉状态。一个24 GHz雷达和激光传感器放置在大鼠上方以获取必要数据。该数据集包含带时间戳的雷达I和Q通道信号以及激光测量数据。此外,还提供了用于信号可视化和基于快速傅里叶变换(FFT)的呼吸率估计的MATLAB代码。这个全面的数据集及附带的MATLAB代码有助于推动小动物非侵入式呼吸测量技术的发展,在生物医学研究中具有潜在应用价值。