Video-Based Respiratory Monitoring System for Inactive Non-Human Primates

Non-human primates (NHPs) are critical in neuroscience research, where researchers implant electrodes into their brains to observe neuronal activity. However, the high post-operative mortality rate of NHPs remains a significant concern, primarily due to inadequate post-surgical monitoring. Thus, it is essential to develop a monitoring system for assessing their physiological status. Conventional wearable monitoring devices are often removed by NHPs, making it challenging to monitor their well-being. To address this issue, we propose a video-based monitoring system that utilizes Eulerian video magnification techniques and principal component analysis to detect and estimate the respiratory rate remotely. The results show that our method has a difference of less than 1 breathing rate per minute compared to a commercial monitor and works well in experiments involving different species, demonstrating the accuracy and effectiveness of our method. We found that Gaussian pyramid representation has lower requirements for the ROI selection, making it more robust for practical applications. The proposed system has the potential to improve animal welfare and facilitate new experiments in neuroscience research.

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Published
2024-10-31
DOI
https://doi.org/10.1109/icsmd64214.2024.10920540
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.00

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article

Video-Based Respiratory Monitoring System for Inactive Non-Human Primates

Hongru Jiang, Huajin Tang, Xiangdong Bu, Yao Chen et al.
Non-Invasive Vital Sign Monitoring
article

Video-Based Respiratory Monitoring System for Inactive Non-Human Primates

Hongru Jiang, Huajin Tang, Xiangdong Bu, Yao Chen, Qianqian Shi, Zhen Xu
article en

Abstract

Non-human primates (NHPs) are critical in neuroscience research, where researchers implant electrodes into their brains to observe neuronal activity. However, the high post-operative mortality rate of NHPs remains a significant concern, primarily due to inadequate post-surgical monitoring. Thus, it is essential to develop a monitoring system for assessing their physiological status. Conventional wearable monitoring devices are often removed by NHPs, making it challenging to monitor their well-being. To address this issue, we propose a video-based monitoring system that utilizes Eulerian video magnification techniques and principal component analysis to detect and estimate the respiratory rate remotely. The results show that our method has a difference of less than 1 breathing rate per minute compared to a commercial monitor and works well in experiments involving different species, demonstrating the accuracy and effectiveness of our method. We found that Gaussian pyramid representation has lower requirements for the ROI selection, making it more robust for practical applications. The proposed system has the potential to improve animal welfare and facilitate new experiments in neuroscience research.

Shanghai Jiao Tong University (CN), Zhejiang University (CN), Tsinghua University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 75%
Non-Invasive Vital Sign Monitoring
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