This preprint has been published.
DOI: https://doi.org/10.1292/jvms.22-0238
Preprint / Version 1

Non-contact respiratory measurement of large quadruped animals using millimeter-wave array radar

##article.authors##

  • Takuya Matsumoto Faculty of Science, Shinshu University
  • Shigeaki Okumura MaRI Co., Ltd.
  • Satoshi Hirata Wildlife Research Center, Kyoto University

DOI:

https://doi.org/10.51094/jxiv.68

Keywords:

respiration rate, millimeter-wave array radar, quadruped animals

Abstract

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.

Downloads *Displays the aggregated results up to the previous day.

Download data is not yet available.

References

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.

Posted


Submitted: 2022-05-13 10:37:08 UTC

Published: 2022-05-17 08:25:10 UTC
Section
Agriculture & Food Sciences