Sun Guanghao, Kurosawa Masaki, Ninomiya Yoshiki, Baba Kohei, Son Nguyen Huu, Yen Hoang Thi, Suzuki Satoshi, Kano Yutaka
Graduate School of Informatics and Engineering, The University of Electro-Communications, Chofu, Japan.
Faculty of Radio-Electronic Engineering, Le Quy Don Technical University, Hanoi, Vietnam.
Front Vet Sci. 2025 Mar 26;12:1518140. doi: 10.3389/fvets.2025.1518140. eCollection 2025.
The objective of this study was to develop and validate a noncontact monitoring system for respiratory rate variability in rats under anesthesia using a 24GHz microwave radar sensor. This study aimed to address the need for stress-free monitoring techniques that comply with the 3Rs principle (Reduction, Replacement, and Refinement) in laboratory animal settings.
Utilizing a 24GHz microwave radar sensor, this system detects subtle body surface displacements induced by respiratory movements in anesthetized rats. The setup includes a 24.05 to 24.25 GHz radar module coupled with a single-board computer, specifically Raspberry Pi, for signal acquisition and processing. The experiment involved four male Wistar rats tracking the variability in their respiratory rates at various isoflurane anesthesia depths to compare the radar system's performance with reference measurements.
The radar system demonstrated high accuracy in respiratory rate monitoring, with a mean difference of 0.32 breaths per minute compared to laser references. The Pearson's correlation coefficient was high (0.89, < 0.05), indicating a strong linear relationship between the radar and reference measurements. The system also accurately reflected changes in respiratory rates corresponding to different isoflurane anesthesia levels. Variations in respiratory rates were effectively mapped across different anesthesia levels, confirming the reliability and precision of the system for real-time monitoring.
The microwave radar-based monitoring system significantly enhanced the animal welfare and research methodology. This system minimizes animal stress and improves the integrity of physiological data in research settings by providing a non-invasive, accurate, and reliable means of monitoring respiratory rates.
本研究的目的是开发并验证一种使用24GHz微波雷达传感器对麻醉大鼠呼吸频率变异性进行非接触监测的系统。本研究旨在满足实验室动物环境中符合3R原则(减少、替代和优化)的无应激监测技术的需求。
该系统利用24GHz微波雷达传感器检测麻醉大鼠呼吸运动引起的细微体表位移。设置包括一个24.05至24.25GHz的雷达模块与一块单板计算机(具体为树莓派)相连,用于信号采集和处理。实验涉及四只雄性Wistar大鼠,在不同异氟烷麻醉深度下追踪其呼吸频率的变异性,以将雷达系统的性能与参考测量值进行比较。
雷达系统在呼吸频率监测方面显示出高精度,与激光参考值相比,平均差异为每分钟0.32次呼吸。皮尔逊相关系数很高(0.89,<0.05),表明雷达测量值与参考测量值之间存在很强的线性关系。该系统还准确反映了对应于不同异氟烷麻醉水平的呼吸频率变化。呼吸频率的变化在不同麻醉水平上得到了有效映射,证实了该系统用于实时监测的可靠性和精确性。
基于微波雷达的监测系统显著提高了动物福利和研究方法。该系统通过提供一种非侵入性、准确且可靠的呼吸频率监测手段,最大限度地减少了动物应激,并提高了研究环境中生理数据的完整性。