Updating ”Medical Radar Signal Dataset for Non-Contact Respiration and Heart Rate Measurement” with Expanded Data on Laboratory Rats under Isoflurane Anesthesia
Description
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.
Files
Institutions
Categories
Funding
Ministry of Education, Culture, Sports, Science, and Technology of Japan
a Grant-in-Aid for Scientific Research (C) (23 K11301)