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Computational and Mathematical Methods in Medicine
Volume 2015 (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.

Citations to this Article [18 citations]

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  • M A García-González, M Fernández-Chimeno, F Guede-Fernández, V Ferrer-Mileo, A Argelagós-Palau, L Álvarez-Gómez, E Parrado, J Moreno, L Capdevila, and J Ramos-Castro, “A methodology to quantify the differences between alternative methods of heart rate variability measurement,” Physiological Measurement, vol. 37, no. 1, pp. 128–144, 2015. View at Publisher · View at Google Scholar
  • Alexei A. Kamshilin, Oleg V. Mamontov, Vasily T. Koval, Grigory A. Zayats, and Roman V. Romashko, “Influence of a skin status on the light interaction with dermis,” Biomedical Optics Express, vol. 6, no. 11, pp. 4326, 2015. View at Publisher · View at Google Scholar
  • N. Vila Blanco, L. Rodríguez-Liñares, P. Cuesta, M.J. Lado, A.J. Méndez, and X.A. Vila, “gVARVI: A graphical software tool for the acquisition of the heart rate in response to external stimuli,” Computer Methods and Programs in Biomedicine, vol. 132, pp. 197–205, 2016. View at Publisher · View at Google Scholar
  • Sarah Ali Siddiqui, Yuan Zhang, Zhiquan Feng, and Anton Kos, “A Pulse Rate Estimation Algorithm Using PPG and Smartphone Camera,” Journal of Medical Systems, vol. 40, no. 5, 2016. View at Publisher · View at Google Scholar
  • Nicole Koenig, Andrea Seeck, Jens Eckstein, Andreas Mainka, Thomas Huebner, Andreas Voss, and Stefan Weber, “Validation of a New Heart Rate Measurement Algorithm for Fingertip Recording of Video Signals with Smartphones,” Telemedicine and e-Health, 2016. View at Publisher · View at Google Scholar
  • Ren-You Huang, and Lan-Rong Dung, “Measurement of heart rate variability using off-the-shelf smart phones,” BioMedical Engineering Online, vol. 15, no. 1, 2016. View at Publisher · View at Google Scholar
  • Rong-Chao Peng, Wen-Rong Yan, Ning-Ling Zhang, Wan-Hua Lin, Xiao-Lin Zhou, and Yuan-Ting Zhang, “Investigation of Five Algorithms for Selection of the Optimal Region of Interest in Smartphone Photoplethysmography,” Journal of Sensors, vol. 2016, pp. 1–7, 2016. View at Publisher · View at Google Scholar
  • Xing-Chi Chen, Yuan-Guo Bi, Yang Yu, and Hai Zhao, “Respiratory Rate Estimation from Smartphone-Camera-Acquired Pulse Wave Signal Using Visible Light,” Dongbei Daxue Xuebao/Journal of Northeastern University, vol. 38, no. 7, pp. 932–935, 2017. View at Publisher · View at Google Scholar
  • Konstantinos Georgiou, Andreas Larentzakis, and Athanasios G. Papavassiliou, “Surgeons' and surgical trainees' acute stress in real operations or simulation: A systematic review,” The Surgeon, 2017. View at Publisher · View at Google Scholar
  • Anthony B. Ciccone, Jacob A. Siedlik, Jill M. Wecht, Jake A. Deckert, Nhuquynh D. Nguyen, and Joseph P. Weir, “Reminder: RMSSD and SD1 are identical heart rate variability metrics,” Muscle & Nerve, 2017. View at Publisher · View at Google Scholar
  • Gwo-Jia Jong, Aripriharta, and Gwo-Jiun Horng, “The PPG Physiological Signal for Heart Rate Variability Analysis,” Wireless Personal Communications, vol. 97, no. 4, pp. 5229–5276, 2017. View at Publisher · View at Google Scholar
  • Flavio D'Ascenzi, Matteo Cameli, Sergio Mondillo, and Giulia Elena Mandoli, “Cardiology: Is the smartphone era?,” Giornale Italiano di Cardiologia, vol. 18, no. 12, pp. 832–836, 2017. View at Publisher · View at Google Scholar
  • Gernot Ernst, “Hidden Signals—The History and Methods of Heart Rate Variability,” Frontiers in Public Health, vol. 5, 2017. View at Publisher · View at Google Scholar
  • Hyun Jae Baek, JaeWook Shin, Gunwoo Jin, and Jaegeol Cho, “Reliability of the Parabola Approximation Method in Heart Rate Variability Analysis Using Low-Sampling-Rate Photoplethysmography,” Journal of Medical Systems, vol. 41, no. 12, 2017. View at Publisher · View at Google Scholar
  • Augusto Garcia-Agundez, Tim Dutz, and Stefan Goebel, “Adapting smartphone-based photoplethysmograpy to suboptimal scenarios,” Physiological Measurement, vol. 38, no. 2, pp. 219–232, 2017. View at Publisher · View at Google Scholar
  • Takemi Matsui, Toshikazu Shinba, and Guanghao Sun, “The development of a novel high-precision major depressive disorder screening system using transient autonomic responses induced by dual mental tasks,” Journal of Medical Engineering & Technology, pp. 1–7, 2018. View at Publisher · View at Google Scholar
  • Benjamin De Ridder, Bart Van Rompaey, Jarl K Kampen, Steven Haine, and Tinne Dilles, “Smartphone Apps Using Photoplethysmography for Heart Rate Monitoring: Meta-Analysis,” JMIR Cardio, vol. 2, no. 1, pp. e4, 2018. View at Publisher · View at Google Scholar
  • András Bánhalmi, János Borbás, Márta Fidrich, Vilmos Bilicki, Zoltán Gingl, and László Rudas, “Analysis of a Pulse Rate Variability Measurement Using a Smartphone Camera,” Journal of Healthcare Engineering, vol. 2018, pp. 1–15, 2018. View at Publisher · View at Google Scholar