Journal of Northeastern University Natural Science ›› 2017, Vol. 38 ›› Issue (7): 932-935.DOI: 10.12068/j.issn.1005-3026.2017.07.005

• Information & Control • Previous Articles     Next Articles

Respiratory Rate Estimation from Smartphone-Camera-Acquired Pulse Wave Signal Using Visible Light

CHEN Xing-chi, ZHAO Hai, BI Yuan-guo, YU Yang   

  1. School of Computer Science & Engineering, Northeastern University, Shenyang 110169, China.
  • Received:2016-02-16 Revised:2016-02-16 Online:2017-07-15 Published:2017-07-07
  • Contact: CHEN Xing-chi
  • About author:-
  • Supported by:
    -

Abstract: To solve the problem of estimating respiratory rate in smartphone platform, a novel fusion respiratory rate estimation (FRRE) method was proposed to calculate respiratory rate via smartphone camera. By combining the red light with the green light from the visible light of flashlight, a fusion pulse wave was computed and then the photo plethysmo graphy signal was extracted from human opisthenar. The instantaneous heart rate was calculated by green pulse wave. Using coherent demodulation to eliminate the heart rate signal from the fusion pulse wave, the respiration signal could be obtained. The respiratory signal was addressed by fast Fourier transform and power spectral density. Then, the respiratory rate was gained. Experimental results show that FRRE has a better accuracy and real-time than traditional VFCDM, FRRE provides an effective respiratory rate estimation method.

Key words: smartphone camera, visible light, photo plethysmo graphy, respiratory rate estimation, coherent demodulation

CLC Number: