Non-contact respiratory measurement of large quadruped animals using millimeter-wave array radar
キーワード:respiration rate、 millimeter-wave array radar、 quadruped animals
This study aimed to apply radar technology to large quadruped animals. We first developed a non-contact respiration measurement system using millimeter-wave array radar for horses. Specifically, we measured the respiration of stationary domestic horses in stables. Simultaneously, we measured the respiration rate using infrared thermography and developed a method for analyzing the radar information while verifying the rate of agreement. Our results suggested that the radar technology detected breathing and accurately measured the respiration of a horse, despite variation in the breathing frequency. To our knowledge, a non-contact respiration measurement system using millimeter-wave array radar has been applied to large animals in an upright position for the first time, demonstrating its potential application to animal husbandry and animal welfare.
Blake, S., Williams, R. and Ferro de Godoy, R. 2019. A systematic review of the biomechanical effects of harness and head-collar use in dogs. Preprint at https://www.biorxiv.org/content/10.1101/759258v1.
Boucher, P. and Plusquellec, P. 2019. Acute stress assessment from excess cortisol secretion: fundamentals and perspectives. Front. Endocrinol. 10: 749.
Hu, M., Zhai, G., Li, D., Fan, Y., Duan, H., Zhu, W. and Yang, X. 2018. Combination of near-infrared and thermal imaging techniques for the remote and simultaneous measurements of breathing and heart rates under sleep situation. PLOS ONE 13: e0190466.
Koda, T., Sakamoto, T., Okumura, S. and Taki, H. 2021. Noncontact respiratory measurement for multiple people at arbitrary locations using array radar and respiratory-space clustering. IEEE Access 9: 106895–106906.
Kranjec, J., Beguš, S., Geršak, G. and Drnovšek, J. 2014. Non-contact heart rate and heart rate variability measurements: a review. Biomed. Signal Process. Control 13: 102–112.
Kumar, B., Manuja, A., Gulati, B. R., Virmani, N. and Tripathi, B. N. 2018. Zoonotic viral diseases of equines and their impact on human and animal health. Open Virol. J. 12: 80–98.
Mathis, A., Mamidanna, P., Cury, K.M., Abe, T., Murthy, V.N., Mathis, M.W. and Bethge, M. 2018. DeepLabCut: markerless pose estimation of user-defined body parts with deep learning. Nat. Neurosci. 21: 1281–1289.
Mellor, D. J. and Beausoleil, N. J. 2017. Equine welfare during exercise: an evaluation of breathing, breathlessness and bridles. Animals (Basel) 7: 41.
Nath, T., Mathis, A., Chen, A.C., Patel, A., Bethge, M. and Mathis, M.W. 2019. Using DeepLabCut for 3D markerless pose estimation across species and behaviors. Nat. Protoc. 14: 2152–2176.
Padalino, B., Raidal, S.L., Knight, P., Celi, P., Jeffcott, L. and Muscatello, G. 2018. Behaviour during transportation predicts stress response and lower airway contamination in horses. PLOS ONE 13: e0194272.
Portier, K. and Ida, K. 2020. K. Editorial: anesthetic risk and complications in veterinary medicine. Front. Vet. Sci. 7: 397.
Sakamoto, T., Imasaka, R., Taki, H., Sato, T., Yoshioka, M., Inoue, K., Fukuda, T. and Sakai, H. 2016. Feature-based correlation and topological similarity for interbeat interval estimation using ultrawideband radar. IEEE Trans. Bio Med. Eng. 63: 747–757.
Santarpia, J. L., Rivera, D.N., Herrera, V.L., Morwitzer, M.J., Creager, H.M., Santarpia, G.W., Crown, K.K., Brett-Major, D.M., Schnaubelt, E.R., Broadhurst, M.J. and Lawler, J.V. 2020. Aerosol and surface transmission potential of SARS-CoV-2. Sci Rep. 10: 12732.
Villarroel, M., Jorge, J., Meredith, D., Sutherland, S., Pugh, C. and Tarassenko, L. 2020. Non-contact vital-sign monitoring of patients undergoing haemodialysis treatment. Sci. Rep. 10: 18529.
Wang, P, Ma, Y., Liang, F., Zhang, Y., Yu, X., Li, Z., An, Q., Lv, H. and Wang, J. 2020. Non-contact vital signs monitoring of dog and cat using a UWB radar. Animals (Basel) 10: 205.
Zepelin, H., Siegel, J. M. and Tobler, I. 2005. Mammalian sleep. Princ. Pract. Sleep Med. 91–100.
投稿日時: 2022-05-13 10:37:08 UTC
公開日時: 2022-05-17 08:25:10 UTC
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