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Computational and Mathematical Methods in Medicine
Volume 2015, Article ID 516826, 11 pages
http://dx.doi.org/10.1155/2015/516826
Research Article

Extraction of Heart Rate Variability from Smartphone Photoplethysmograms

1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Road, Xili Nanshan, Shenzhen, Guangdong 518055, China
2Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, 1068 Xueyuan Road, Xili Nanshan, Shenzhen, Guangdong 518055, China
3Key Laboratory for Health Informatics of the Chinese Academy of Sciences (HICAS), 1068 Xueyuan Road, Xili Nanshan, Shenzhen, Guangdong 518055, China
4Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong

Received 9 October 2014; Accepted 21 December 2014

Academic Editor: Dong Song

Copyright © 2015 Rong-Chao Peng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. B. Pomeranz, R. J. Macaulay, M. A. Caudill et al., “Assessment of autonomic function in humans by heart rate spectral analysis,” The American Journal of Physiology, vol. 248, no. 1, pp. H151–H153, 1985. View at Google Scholar · View at Scopus
  2. A. J. Camm, M. Malik, J. T. Bigger et al., “Heart rate variability: standards of measurement, physiological interpretation, and clinical use,” Circulation, vol. 93, pp. 1043–1065, 1996. View at Google Scholar
  3. K. Charlot, J. Cornolo, J. V. Brugniaux, J. P. Richalet, and A. Pichon, “Interchangeability between heart rate and photoplethysmography variabilities during sympathetic stimulations,” Physiological Measurement, vol. 30, no. 12, pp. 1357–1369, 2009. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  4. E. Gil, M. Orini, R. Bailón, J. M. Vergara, L. Mainardi, and P. Laguna, “Photoplethysmography pulse rate variability as a surrogate measurement of heart rate variability during non-stationary conditions,” Physiological Measurement, vol. 31, no. 9, pp. 1271–1290, 2010. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  5. S. Lu, H. Zhao, K. Ju et al., “Can photoplethysmography variability serve as an alternative approach to obtain heart rate variability information?” Journal of Clinical Monitoring and Computing, vol. 22, no. 1, pp. 23–29, 2008. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  6. P. S. McKinley, P. A. Shapiro, E. Bagiella et al., “Deriving heart period variability from blood pressure waveforms,” Journal of Applied Physiology, vol. 95, no. 4, pp. 1431–1438, 2003. View at Google Scholar · View at Scopus
  7. A. Suhrbier, R. Heringer, T. Walther, H. Malberg, and N. Wessel, “Comparison of three methods for beat-to-beat-interval extraction from continuous blood pressure and electrocardiogram with respect to heart rate variability analysis,” Biomedizinische Technik, vol. 51, no. 2, pp. 70–76, 2006. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  8. N. K. Kristiansen, J. Fleischer, M. S. Jensen, K. S. Andersen, and H. Nygaard, “Design and evaluation of a handheld impedance plethysmograph for measuring heart rate variability,” Medical and Biological Engineering and Computing, vol. 43, no. 4, pp. 516–521, 2005. View at Publisher · View at Google Scholar · View at Scopus
  9. E. F. Treo, M. C. Herrera, and M. E. Valentinuzzi, “Algorithm for identifying and separating beats from arterial pulse records,” BioMedical Engineering OnLine, vol. 4, article 48, 2005. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  10. J. H. Shin, S. H. Hwang, M. H. Chang, and K. S. Park, “Heart rate variability analysis using a ballistocardiogram during Valsalva manoeuvre and post exercise,” Physiological Measurement, vol. 32, no. 8, pp. 1239–1264, 2011. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  11. U. Morbiducci, L. Scalise, M. De Melis, and M. Grigioni, “Optical vibrocardiography: a novel tool for the optical monitoring of cardiac activity,” Annals of Biomedical Engineering, vol. 35, no. 1, pp. 45–58, 2007. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  12. G. Lu, F. Yang, Y. Tian, X. Jing, and J. Wang, “Contact-free measurement of heart rate variability via a microwave sensor,” Sensors, vol. 9, no. 12, pp. 9572–9581, 2009. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  13. M.-Z. Poh, D. J. McDuff, and R. W. Picard, “Advancements in noncontact, multiparameter physiological measurements using a webcam,” IEEE Transactions on Biomedical Engineering, vol. 58, no. 1, pp. 7–11, 2011. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  14. Y. Sun, S. Hu, V. Azorin-Peris, R. Kalawsky, and S. Greenwald, “Noncontact imaging photoplethysmography to effectively access pulse rate variability,” Journal of Biomedical Optics, vol. 18, no. 6, Article ID 61205, 2013. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  15. R. S. H. Istepanian, E. Jovanov, and Y. T. Zhang, “Introduction to the special section on m-Health: beyond seamless mobility and global wireless health-care connectivity,” IEEE Transactions on Information Technology in Biomedicine, vol. 8, no. 4, pp. 405–414, 2004. View at Publisher · View at Google Scholar · View at Scopus
  16. M. N. K. Boulos, S. Wheeler, C. Tavares, and R. Jones, “How smartphones are changing the face of mobile and participatory healthcare: an overview, with example from eCAALYX,” BioMedical Engineering OnLine, vol. 10, article 24, 2011. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  17. E. Jonathan and M. Leahy, “Investigating a smartphone imaging unit for photoplethysmography,” Physiological Measurement, vol. 31, no. 11, pp. N79–N83, 2010. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  18. E. Jonathan and M. J. Leahy, “Cellular phone-based photoplethysmographic imaging,” Journal of Biophotonics, vol. 4, no. 5, pp. 293–296, 2011. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  19. C. G. Scully, J. Lee, J. Meyer et al., “Physiological parameter monitoring from optical recordings with a mobile phone,” IEEE Transactions on Biomedical Engineering, vol. 59, no. 2, pp. 303–306, 2012. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  20. M. J. Gregoski, M. Mueller, A. Vertegel et al., “Development and validation of a smartphone heart rate acquisition application for health promotion and wellness telehealth applications,” International Journal of Telemedicine and Applications, vol. 2012, Article ID 696324, 7 pages, 2012. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  21. K. Matsumura and T. Yamakoshi, “iPhysioMeter: a new approach for measuring heart rate and normalized pulse volume using only a smartphone,” Behavior Research Methods, vol. 45, no. 4, pp. 1272–1278, 2013. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  22. V. Chandrasekaran, R. Dantu, S. Jonnada, S. Thiyagaraja, and K. P. Subbu, “Cuffless differential blood pressure estimation using smart phones,” IEEE Transactions on Biomedical Engineering, vol. 60, no. 4, pp. 1080–1089, 2013. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  23. J. Allen, “Photoplethysmography and its application in clinical physiological measurement,” Physiological Measurement, vol. 28, no. 3, pp. R1–R39, 2007. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  24. X.-Y. Zhang and Y.-T. Zhang, “The effect of local mild cold exposure on pulse transit time,” Physiological Measurement, vol. 27, no. 7, pp. 649–660, 2006. View at Publisher · View at Google Scholar · View at Scopus
  25. Y. C. Chiu, P. W. Arand, S. G. Shroff, T. Feldman, and J. D. Carroll, “Determination of pulse wave velocities with computerized algorithms,” American Heart Journal, vol. 121, no. 5, pp. 1460–1470, 1991. View at Publisher · View at Google Scholar · View at Scopus
  26. J. Pan and W. J. Tompkins, “A real-time QRS detection algorithm,” IEEE Transactions on Biomedical Engineering, vol. 32, no. 3, pp. 230–236, 1985. View at Google Scholar · View at Scopus
  27. J. M. Bland and D. G. Altman, “Statistical methods for assessing agreement between two methods of clinical measurement,” The Lancet, vol. 1, no. 8476, pp. 307–310, 1986. View at Google Scholar · View at Scopus
  28. A. Schäfer and J. Vagedes, “How accurate is pulse rate variability as an estimate of heart rate variability? A review on studies comparing photoplethysmographic technology with an electrocardiogram,” International Journal of Cardiology, vol. 166, no. 1, pp. 15–29, 2013. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  29. H. F. Posada-Quintero, D. Delisle-Rodríguez, M. B. Cuadra-Sanz, and R. R. F. de la Vara-Prieto, “Evaluation of pulse rate variability obtained by the pulse onsets of the photoplethysmographic signal,” Physiological Measurement, vol. 34, no. 2, pp. 179–187, 2013. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  30. J.-S. Wong, W.-A. Lu, K.-T. Wu, M. Liu, G.-Y. Chen, and C.-D. Kuo, “A comparative study of pulse rate variability and heart rate variability in healthy subjects,” Journal of Clinical Monitoring and Computing, vol. 26, no. 2, pp. 107–114, 2012. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus
  31. J. B. Bolkhovsky, C. G. Scully, and K. H. Chon, “Statistical analysis of heart rate and heart rate variability monitoring through the use of smart phone cameras,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 1610–1613, 2012.
  32. C. T. Lee and L. Y. Wei, “Spectrum analysis of human pulse,” IEEE Transactions on Biomedical Engineering, vol. 30, no. 6, pp. 348–352, 1983. View at Google Scholar · View at Scopus
  33. W. Verkruysse, L. O. Svaasand, and J. S. Nelson, “Remote plethysmographic imaging using ambient light,” Optics Express, vol. 16, no. 26, pp. 21434–21445, 2008. View at Publisher · View at Google Scholar · View at Scopus
  34. D. Grimaldi, Y. Kurylyak, F. Lamonaca, and A. Nastro, “Photoplethysmography detection by smartphone's videocamera,” in Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS '11), pp. 488–491, Prague, Czech Republic, September 2011. View at Publisher · View at Google Scholar · View at Scopus
  35. M. J. Hayes and P. R. Smith, “Artifact reduction in photoplethysmography,” Applied Optics, vol. 37, no. 31, pp. 7437–7446, 1998. View at Publisher · View at Google Scholar · View at Scopus
  36. B. S. Kim and S. K. Yoo, “Motion artifact reduction in photoplethysmography using independent component analysis,” IEEE Transactions on Biomedical Engineering, vol. 53, no. 3, pp. 566–568, 2006. View at Publisher · View at Google Scholar · View at PubMed · View at Scopus