Spot measurement of heart rate based on morphology of PhotoPlethysmoGraphic (PPG) signals

References

• Kamal A, Harness J, Irving G, et al. Skin photoplethysmography - a review. Comput Methods Programs Biomed. 1989;28:257–269.
   PubMed Web of Science ®Google Scholar
• Allen J. Photoplethysmography and its application in clinical physiological measurement. Physiol Meas. 2007;28:R1–R39.
   PubMed Web of Science ®Google Scholar
• Challoner AVJ. Photoelectric plethysmography for estimating cutaneous blood flow. Non-Invasive Physiol Meas. 1979;1:125–151.
   Google Scholar
• Jonsson B, Laurent C, Skau T, et al. A new probe for ankle systolic pressure measurement using photoplethysmography (PPG). Ann Biomed Engl. 2005;33:232–239.
   PubMed Web of Science ®Google Scholar
• Leonard PA, Douglas JG, Grubb NR, et al. A fully automated algorithm for the determination of respiratory rate from the photoplethysmogram. J Clin Monit Comput. 2006;20:33–36.
   PubMedGoogle Scholar
• Foo JY, Wilson SJ. Estimation of breathing interval from the Photoplethysmographic signals in children. Physiol Meas. 2005;26:1049–1058.
   PubMed Web of Science ®Google Scholar
• Yousefi R, Nourani M, Ostadabbas S, et al. A motion-tolerant adaptive algorithm for wearable Photoplethysmographic biosensors. IEEE J Biomed Health Inform. 2014;18:670–681.
   PubMed Web of Science ®Google Scholar
• Ram M, Madhav KV, Krishna EH, et al. A novel approach for motion artefact reduction in PPG signals based on AS-LMS adaptive filter. IEEE Trans Instrum Meas, 2012;61:1445–1457.
   Web of Science ®Google Scholar
• Krishnan R, Natarajan B, Warren S. Two-stage approach for detection and reduction of motion artefacts in Photoplethysmographic data. IEEE Trans Biomed Eng. 2010;57:1867–1876.
   PubMed Web of Science ®Google Scholar
• Mohan PM, Nagarajan V, Das SR, et al. Heart rate measurement from wearable Photoplethysmographic sensor using spot and tracking methods. Paper presented at: 2015 International Conference on Communications and Signal Processing (ICCSP); Melmaruvathur, Chennai, India; 2015 April. IEEE. pp. 1276–1280.
   Google Scholar
• Awodeyi AE, Alty SR, Ghavami M. On the filtering of photoplethysmography signals. Paper presented at: Proceedings of the IEEE 14th International Conference on Bioinformatics Bioengineering BIBE 2014; Boca Raton, FL; 2014; pp. 175–178.
   Google Scholar
• Anderson RR, Parrish JA. Optical properties of human skin. J Invest Dermatol. 1981;77:13–19.
   PubMed Web of Science ®Google Scholar
• Mendelson Y, Ochs B. Noninvasive pulse oximetry utilizing skin reflectance photoplethysmographyinvasive. IEEE Trans Biomed Eng. 1988;35:798–805.
   PubMed Web of Science ®Google Scholar
• Yousefi R, Nourani M. Separating arterial and venous-related components of photoplethysmographic signals for accurate extraction of oxygen saturation and respiratory rate. IEEE J Biomed Health Informat. 2015;19:848–857.
   PubMed Web of Science ®Google Scholar
• Chua C-P, Heneghan C. Continuous blood pressure monitoring using ECG and finger photoplethysmogram. Paper presented at: Proceedings of the IEEE Engineering in Medicine and Biology Society; New York, NY; 2006.
   Google Scholar
• Tamura T, Maeda Y, Sekine M, et al. Wearable Photoplethysmographic sensors—past and present. Electronics. 2014;3:282–302.
   Google Scholar
• Linder SP, Wendelken SM, Wei E, et al. Using the morphology of photoplethysmogram peaks to detect changes in posture. J Clin Monit Comput. 2006;20:151–158.
   PubMedGoogle Scholar
• Gil E, Orini M, Bailón R, et al. Photoplethysmography pulse rate variability as a surrogate measurement of heart rate variability during non-stationary conditions. Physiol Meas. 2010;31:127–1290.
   Web of Science ®Google Scholar
• Li BN, Dong MC, Vai MI. On an automatic delineator for arterial blood pressure waveforms. Biomed Signal Process Control. 2010;5:76–81.
   Web of Science ®Google Scholar
• Lee HW, Lee JW, Jung WC, et al. The periodic moving average filter for removing motion artefacts from PPG signals. Int J Ctrl Autom Syst. 2007;5:701–706.
   Web of Science ®Google Scholar
• Kelley DJ, Oakes TR, Greischar LL, et al. Automatic physiological waveform processing for fMRI noise correction and analysis. PLoS One. 2008;3:e1751.
   PubMed Web of Science ®Google Scholar
• Zeng W, Haojun A, Ruimin H, et al. An algorithm of echo steganalysis based on Bayes classifier. Paper presented at: International Conference on Information and Automation (ICIA2008); Changsha, China; 2008. pp. 1667–1670.
   Google Scholar
• Andrienko G, Andrienko N, Mladenov M, et al. Extracting events from spatial time series. Paper presented at: 14th International Conference Information Visualisation (IV); London, UK; 2010, July. IEEE. pp. 48–53.
   Google Scholar
• Roggo Y, Klara D, Pierre M. Identification of pharmaceutical tablets by Raman spectroscopy and chemometrics. Talanta. 2010;81:988–995.
   PubMed Web of Science ®Google Scholar
• Billauer E [Internet]. peakdet: peak detection using MATLAB; [updated 2014 Dec 17], 2012. Available from: http://billauer.co.il/peakdet.html.
   Google Scholar
• Elgendi M, Norton I, Brearley M, et al. Systolic peak detection in acceleration photoplethysmograms measured from emergency responders in tropical conditions. PLoS One. 2013;8:e76585.
   PubMed Web of Science ®Google Scholar
• Zong W, Heldt T, Moody GB, et al. An open-source algorithm to detect onset of arterial blood pressure pulses. Paper presented at: IEEE Conference on Computers in Cardiology; Boston, USA; 2003. IEEE. pp. 259–262.
   Google Scholar
• Elgendi M, Jonkman M, De Boer F. Heart rate variability measurementusing the second derivative photoplethysmogram. Paper presented at: The 3rd International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS2010); Valencia, Spain; 2010. pp. 82–87.
   Google Scholar
• Elgendi M, Jonkman M, Deboer F. Heart rate variability and the acceleration plethysmogram signals measured at rest. Commun Comput Inf Sci. 2011;127:266–277.
   Google Scholar
• Elgendi M, Jonkman M, De Boer F. Measurement of a-a intervals at restin the second derivative plethysmogram. In: Proceedings of the 2009 International Symposium on Bioelectronics and Bioinformatics; RMIT University, School of Electrical and Computer Engineering, Melbourne, Australia; p. 76–79.
   Google Scholar
• Elgendi M, Norton I, Brearley M, et al. Detection of a and b waves in the acceleration photoplethysmogram. Biomed Eng Online. 2014;13:139. doi: 10.1186/1475-925X-13-139.
   PubMed Web of Science ®Google Scholar