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access icon openaccess Respiratory rate detection algorithm based on RGB-D camera: theoretical background and experimental results

Both the theoretical background and the experimental results of an algorithm developed to perform human respiratory rate measurements without any physical contact are presented. Based on depth image sensing techniques, the respiratory rate is derived by measuring morphological changes of the chest wall. The algorithm identifies the human chest, computes its distance from the camera and compares this value with the instantaneous distance, discerning if it is due to the respiratory act or due to a limited movement of the person being monitored. To experimentally validate the proposed algorithm, the respiratory rate measurements coming from a spirometer were taken as a benchmark and compared with those estimated by the algorithm. Five tests were performed, with five different persons sat in front of the camera. The first test aimed to choose the suitable sampling frequency. The second test was conducted to compare the performances of the proposed system with respect to the gold standard in ideal conditions of light, orientation and clothing. The third, fourth and fifth tests evaluated the algorithm performances under different operating conditions. The experimental results showed that the system can correctly measure the respiratory rate, and it is a viable alternative to monitor the respiratory activity of a person without using invasive sensors.

References

    1. 1)
      • 17. Mrazovac, B., Bjelica, M.Z., Papp, I., Teslic, N.: ‘Smart audio/video playback control based on presence detection and user localization in home environment’. Proc. 2011 Second Eastern European Regional Conf. Engineering of Computer Based Systems (ECBS-EERC ‘11), Washington DC, WA, USA, 2011, pp. 4453.
    2. 2)
      • 7. Wareham, R., Lasenby, J.J., Cameron, P.D.B., Iles, R.: ‘Structured light plethysmography (SLP) compared to spirometry: a pilot study’. European Respiratory Society Annual Congress, Vienna, 2009.
    3. 3)
      • 11. Martinez, M., Stiefelhagen, R.: ‘Breath rate monitoring during sleep using near-IR imagery and PCA’. 21st Int. Conf. Pattern Recognition (ICPR), Tsukaba, Japan, 2012, pp. 34723475.
    4. 4)
    5. 5)
    6. 6)
    7. 7)
    8. 8)
    9. 9)
      • 1. Whyte, K.F., Gugger, M., et al: ‘Accuracy of respiratory inductive plethysmograph in measuring tidal volume during sleep’, J. Appl. Physiol., 1991, 71, (5), pp. 18661871.
    10. 10)
      • 15. Bernal, E.A., Mestha, L.K., Shilla, E.: ‘Non-contact monitoring of respiratory function via depth sensing’. Proc. Int. Conf. Biomedical and Health Informatics, Valencia, Spain, 2014.
    11. 11)
    12. 12)
      • 10. Burba, N., Bolas, M., et al: ‘Unobtrusive measurement of subtle nonverbal behaviors with the Microsoft Kinect’. Proc. 2012 IEEE Virtual Reality (VR ‘12), Washington DC, WA, USA, 2012, pp. 14.
    13. 13)
      • 19. Benesty, J., Chen, J., Huang, Y., Cohen, I.: ‘Pearson correlation coefficient’, Noise Reduct. Speech Process., 2009, 2, pp. 14.
    14. 14)
      • 16. Ming-Zher, P., McDuff, D.J., Picard, R.W.: ‘Non- contact, automated cardiac pulse measurements using video imaging and blind source separation’, Opt. Express, 2011, 18, (10), pp. 1076210774.
    15. 15)
      • 13. Yu, M.C., Wu, H., et al: ‘Breath and position monitoring during sleeping with a depth camera’. Int. Conf. Health Informatics, Vilamoura, Portugal, 2012, pp. 1222.
    16. 16)
      • 8. Hirooki, A., Kohji, K.: ‘Non-contact respiration monitoring method for screening sleep respiratory disturbance using slit light pattern projection’. World Congress on Medical Physics and Biomedical Engineering, Seoul, Korea, 2007, vol. 14, pp. 680683.
    17. 17)
    18. 18)
    19. 19)
      • 12. Yu, M.C., Liou, J.L., et al: ‘Noncontact respiratory measurement of volume change using depth camera’. Annual Int. Conf. IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, Japan, 2012, pp. 23712374.
    20. 20)
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