Updating ”Medical Radar Signal Dataset for Non-Contact Respiration and Heart Rate Measurement” with Expanded Data on Laboratory Rats under Isoflurane Anesthesia

The data were collected using a noncontact vital sign monitoring system. The system includes: (1) a Raspberry Pi 4 Model B with a 64-bit quad-core Cortex-A72 processor and 8 GB RAM; (2) a 24.05-24.25 GHz I/Q channel microwave radar with an 8-element TX/RX antenna (SHARP, model DC6M4JN3000); (3) a CMOS multi-function analog laser sensor (Keyence, models IL-1000 & IL-S065) with a 2 μm repeatability accuracy; and (4) an Arduino data acquisition board converting I/Q and laser signals to digital at 1092 Hz, 10-bit resolution. Tests were performed on four spontaneously breathing rats under isoflurane anesthesia (2.5% to 1.0% over 32 minutes), measuring respiratory rate variations to evaluate anesthesia depth. This dataset includes data files and MATLAB code. The data folder contains four data files: RatA.csv, RatB.csv, RatC.csv, and RatD.csv, which correspond to the raw data from radar and laser measurements. The columns in these files are structured as follows: Column 1: Time; Column 2: Radar I channel; Column 3: Radar Q channel; Column 4: Laser. The MATLAB code (estRespRate_rat.m) scripts can be used for signal visualization and FFT (fast Fourier transform) based respiration rate estimation.本数据集通过非接触式生命体征监测系统采集获得。该系统包含以下组件：(1) 树莓派4 Model B（Raspberry Pi 4 Model B），搭载64位四核Cortex-A72处理器与8 GB运行内存；(2) 工作频段为24.05–24.25 GHz的I/Q通道微波雷达，配备8单元发射/接收天线（夏普（SHARP）型号DC6M4JN3000）；(3) CMOS多功能模拟激光传感器（基恩士（Keyence）型号IL-1000与IL-S065），重复测量精度达2 μm；(4) Arduino数据采集板，以1092 Hz采样率、10位分辨率将I/Q信号与激光信号转换为数字信号。本实验针对4只接受异氟烷麻醉（32分钟内麻醉浓度从2.5%降至1.0%）的自主呼吸大鼠开展，通过监测呼吸频率变化评估麻醉深度。本数据集包含数据文件与MATLAB代码，其中数据文件夹内包含4个数据文件：RatA.csv、RatB.csv、RatC.csv及RatD.csv，分别对应雷达与激光测量的原始数据。各文件的列结构如下：第1列为时间；第2列为雷达I通道数据；第3列为雷达Q通道数据；第4列为激光传感器数据。附带的MATLAB代码脚本estRespRate_rat.m可用于信号可视化以及基于快速傅里叶变换（Fast Fourier Transform，FFT）的呼吸频率估算。