Coherence Analysis between Respiration and PPG Signal by Bivariate AR Model
PPG is a potential tool in clinical applications. Among such, the relationship between respiration and PPG signal has attracted attention in past decades. In this research, a bivariate AR spectral estimation method was utilized for the coherence analysis between these two signals. Ten healthy subjects participated in this research with signals measured at different respiratory rates. The results demonstrate that high coherence exists between respiration and PPG signal, whereas the coherence disappears in breath-holding experiments. These results imply that PPG signal reveals the respiratory information. The utilized method may provide an attractive alternative approach for the related researches.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1054809Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2247
 A. B. Hertzman and C. R. Spielman, "Observations on the finger volume pulse recorded photoelectrically", Am. J. Physiol., 1937, vol.119, pp.334-335.
 J. Allen, "Photoplethysmography and its application in clinical physiological measurement", Physiol. Meas., 2007, vol.28, no.3, pp.R1-R39.
 R. D. Allison, E. L. Holmes and J. Nyboer, "Volumetric dynamic of respiration as measured by electrical impedance plethysmography", J. Appl. Physiol., 1964, vol.19, pp.166-173.
 A. M. Cyna, V. Kulkarni, M. E. Tunstall, J. M. S. Hutchinson and J. R. Mallard, "Aura: a new respiratory monitoring and apnea alarm for spontaneously breathing patients", Br. J. Anaesth., 1991, vol.67, pp.341-345.
 A. Johansson, P. Å. ├ûberg and G. Sedin, "Monitoring of heart and respiratory rates in newborn infants using a new photoplethysmographic technique", J. Clin. Monit., 1999, vol.15, pp.461-467.
 L. Nilsson, A. Johansson and S. Kalman, "Monitoring of respiratory rate in postoperative care using a new photoplethysmographic technique", J. Clin. Monit., 2000, vol.16, pp.309-315.
 A. Johansson and P. Å. ├ûberg, "Estimation of respiratory volumes from the photoplethysmographic signal. Part I: experimental results", Med. Biol. Eng. Comput., 1999, vol.37, pp.42-47.
 A. Johansson and P. Å. ├ûberg, "Estimation of respiratory volumes from the photoplethysmographic signal. Part II: a model study", Med. Biol. Eng. Comput., 1999, vol.37, pp.48-53.
 L. Nilsson, A. Johansson and S. Kalman, "Macrocirculation is not the sole determinant of respiratory induced variations in the reflection mode photoplethysmographic signal", Physiol. Meas., 2003, vol.24, pp.925- 937.
 M. Morf, A. Vieira, D. T. Lee and T. Kailath, "Recursive multichannel maximum entropy spectral estimation", IEEE Trans. Geosci. Electron., 1978, vol.16, pp.85-94.
 S. L. Marple Jr., Digital Spectral Analysis with Applications. New Jersey: Prentice-Hall, 1987, ch.15.
 N. Levinson, "The Wiener RMS (root mean square) error criterion in filter design and prediction", J. Math. Phys., 1947, vol.25, pp.261-278.