Journal of Electrical Engineering and Technology

The Korean Institute of Electrical Engineers (대한전기학회)
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Optimal ROI Determination for Obtaining PPG Signals from a Camera on a Smartphone

  • Lee, Keonsoo (Dept. of Medical IT Engineering, Soonchunhyang University) ;
  • Nam, Yunyoung (Dept. of Computer Science and Engineering, Soonchunhyang University)
  • Received : 2017.06.02
  • Accepted : 2018.01.22
  • Published : 2018.05.01
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Abstract

Photoplethysmography (PPG) is a convenient method for monitoring a heart rhythm. In addition to specialized devices, smartphones can be used to obtain PPG signals. However, as smartphones are not intended for this purpose, optimization is required to efficiently obtain PPG signals. Determining the optimal region of interest (ROI) is one such optimization method. There are two significant advantages in employing an optimized ROI. One is that the computing load is decreased by reducing the image size used to extract the PPG signal. The other is that stronger and more reliable PPG signals are obtained by removing noisy regions. In this paper, we propose an optimal ROI determination method by recursively splitting regions to locate the region that produces the strongest PPG signal.

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References

  1. W. Lin, D. Wu, C. Li, H. Zhang, and Y.-T. Zhang, "Comparison of Heart Rate Variability from PPG with That from ECG," in the International Conference on Health Informatics, Springer, Cham, 2014, pp. 213-215.
  2. G. Lu, F. Yang, J. A. Taylor, and J. F. Stein, "A comparison of photoplethysmography and ECG recording to analyse heart rate variability in healthy subjects," J Med Eng Technol, vol. 33, no. 8, pp. 634-641, 2009. https://doi.org/10.3109/03091900903150998
  3. S. A. Siddiqui, Y. Zhang, Z. Feng, and A. Kos, "A Pulse Rate Estimation Algorithm Using PPG and Smartphone Camera," J Med Syst, vol. 40, no. 5, p. 126, May 2016. https://doi.org/10.1007/s10916-016-0485-6
  4. R.C. Peng, X.L. Zhou, W.H. Lin, and Y.T. Zhang, "Extraction of Heart Rate Variability from Smartphone Photoplethysmograms," Computational and Mathematical Methods in Medicine, vol. 2015, p. e516826, Jan. 2015.
  5. M. Gregoski, A. Vertegel, and F. Treiber, "Photoplethysmograph (PPG) Derived Heart Rate (HR) Acquisition Using an Android Smart Phone," in Proceedings of the 2nd Conference on Wireless Health, New York, NY, USA, 2011, p. 23:1-23:2.
  6. R.C. Peng, W.R. Yan, N.L. Zhang, W.H. Lin, X.L. Zhou, and Y.T. Zhang, "Investigation of Five Algorithms for Selection of the Optimal Region of Interest in Smartphone Photoplethysmography," Journal of Sensors, vol. 2016, p. e6830152, Dec. 2015.
  7. E. Calvo-Gallego and G. de Haan, "Automatic ROI for Remote Photoplethysmography using PPG and Color Features," in the International Conference on Computer Vision Theory and Applications, 2017, pp. 357-364.
  8. $Nellcor^{TM}$ Portable $SpO_2$ Patient Monitoring System $\mid$ Covidien. Available at: http://www.medtronic.com/covidien/products/pulse-oximetry/nellcor-portable-spo2-patient-monitoring-system.
  9. ubpulse T1 - Autonomic Nervous System function Tester - LAXTHA. Available at: http://www.laxtha.com/ProductView.asp?Model=ubpulse%20T1&catgrpid=3&catidx=11.
  10. Instant Heart Rate by Azumio. Instant Heart Rate Available at: http://www.azumio.com/s/instantheartrate/index.html.
  11. Runtastic Heart Rate. Available at: https://www.runtastic.com/en/apps/heartrate.
  12. Heart Beat Rate - $Bio_2Imaging$. Available at: http://www.bio2imaging.com/active-health/heart-beat-rate.
  13. K. Matsumura, P. Rolfe, J. Lee, and T. Yamakoshi, "iPhone 4s Photoplethysmography: Which Light Color Yields the Most Accurate Heart Rate and Normalized Pulse Volume Using the iPhysioMeter Application in the Presence of Motion Artifact?," PLOS ONE, vol. 9, no. 3, p. e91205, 11 2014. https://doi.org/10.1371/journal.pone.0091205
  14. A. Visvanathan, R. Banerjee, A. Misra, A. D. Choudhury, and A. Pal, "Effects of fingertip orientation and flash location in smartphone Photoplethysmography," in 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2014, pp. 468-471.
  15. E. Miranda, "Composing Music with Computers," CRC Press, 2001.
  16. "PPG setup and calibration $\mid$ BIOPAC," BIOPAC Systems, Inc. Available: https://www.biopac.com/knowledge-base/ppg-setup-and-calibration/.
  17. K.-H. Yoon et al., "Automatic Detection of Congestive Heart Failure and Atrial Fibrillation with Short RR Interval Time Series," JEET, vol. 12, no. 1, pp. 346-355, Jan. 2017