Photoplethysmography (PPG) is a non-invasive method to measure the relative blood volume change in blood vessels used in a wide range of medical applications. PPG signals can be recorded from different body regions such as fingertips, forehead and earlobes. In this study, information content of PPG signals of the left and the right index fingertips are processed and analyzed. PPG recordings are performed from ten healthy volunteers. Prior to recordings, all volunteers take rest for five minutes. Using a dedicated measurement system, signals are recorded from the left and the right fingertips of each volunteer simultaneously for 60 seconds with a sampling frequency of 50Hz, digitized with 10-bit resolution and stored in a personal computer. Signal average power and Poincare indexes of the signals are estimated and statistically analyzed. There are no systematic differences between the signal power estimated from the left and right fingertip signals (P>0.5). The signal power estimates for the left and the right fingertips show moderate correlations of 0.78, 0.80 and 0.68 for 0-4Hz, 0-2Hz and 2-4Hz frequency bands, respectively. When Poincare indexes SD1 and SD1/SD2 are considered, there are no systematic differences between the left and right fingertip signals (P > 0.5) however a systematic difference exists between the SD2 estimates (P=0.15). SD1 and SD1/SD2 estimates for the left and the right fingertips show high positive correlations of 1.00 and 0.99, respectively. However, a correlation of -0.30 exits for the left and the right fingertips when SD2 estimate is considered.
| Published in |
American Journal of Biomedical and Life Sciences (Volume 3, Issue 2-2)
This article belongs to the Special Issue Numerical and Experimental Research in Cardiovascular Sciences |
| DOI | 10.11648/j.ajbls.s.2015030202.12 |
| Page(s) | 6-10 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2015. Published by Science Publishing Group |
Photoplethysmography, Fingertip, Signal Power, Poincaré
| [1] | J. G. Webster, ed. Design of Pulse Oximeters (Institute of Physics Publishing, Bristol and Philadelphia, 1997), pp. 13-39. |
| [2] | J. Allan and A. Murray, “Age-related changes in peripheral pulse timing characteristics at the ears, finger and toe”, J. Human Hypertension, vol. 16, pp. 711-717, 2005. |
| [3] | C. Choi, K-S Soh, S. M. Lee an G. Yoon, “Propagation of light along an acupuncture meridian”, Journal of the Optical Society of Korea, vol. 7, no. 4, pp.245-248, 2003. |
| [4] | J. Spiguilis, “Optical noninvasive monitoring of skin blood pulsation.” Applied Optics. Vol. 44, no. 10, pp. 1850-1857, 2005. |
| [5] | Lu S, Zhao H, Ju K, Shin K, Lee M, Shelley K, Chon KH, “Can photoplethysmography variability serve as an alternative approach to obtain heart rate variability information”, Journal of Clinical Monitoring and Computing, 2008 Feb. 22(1):23-9 |
| [6] | Y. Yoon and G. Yoon, “Nonconstrained Blood Pressure Measurement by Photoplethysmography”, Journal of the Optical Society of Korea, Vol. 10, No.2, June 2006, pp 91-95. |
| [7] | S. Hey, A. Garbi, B. von Harren, K. Walter, N. Könning and S. Löffler, “Continuous non-invasive Pulse Transmit Time Measurement for Physiological Stress Monitoring”, Proceeding of International Conference on eHealt, Telemedicine, and Social Medicine, eTELEMED 2009, Cancun, Feb. 2009, IEEE Computer Society Conference Proceedings, pp 113-116. |
| [8] | V. S. Murthy , S. Ramamoorthy, N. Srinivasan, S. Rajagopal and M. M. Rao, “Analysis of Photoplethysmographic Signals of Cardiovascular Patients”, Engineering in Medicine and Biology Society, 2001, Proceedings of the 23rd Annual International Conference of the IEEE, Vol. 3, pp 2204-2207. |
| [9] | Soo-young Ye, Gi-Ryon Kim, Dong Keun Jung, Seong-wan Baik and Gye-rok Jeon, “Estimation of Systolic and Diastolic Pressure using the Pulse Transmit Time”, Word Academy of Science, Engineering and Technology, Vol. 4, No. 7, 2010. |
| [10] | H. Gesche, D. Grosskurth, G. Küchler and A. Patzak, “Continous Blood Pressure Measurement by Using Pulse Transmit Time: Comparison to a Cuff-based Method”, European Journal of Applied Physiology, 2011. |
| [11] | S. Bharati and G. Gidveer, “Wave form analysis of Pulse Wave detected in fingertip with PPG”, International Journal of Advances in Engineering and Technology, March 2012, Vol. 3, Isssue 1, pp 92-100. |
| [12] | K. Pilt, K. Meigas, R. Ferenets and J. Kaik, “Adjustment of Adaptive Comb Filter for PPG Signals”, 31st Annual International Conferences of the IEEE EMBS Minneapolis, Minnesota, USA, September 2-6, 2009. |
| [13] | J. Yao and S. Warren, “A Novel Algorithm to Seperate Motion Artifacts from Photopletysmographic Signals Obtained with a Reflectance Pulse Oximeter”, Proceeding of the 26th Annual International Conferences of the IEEE EMBS, San Francisco, CA, USA, September 1-5, 2004. |
| [14] | E. Gil, M. Mendez, J. M. Vergara and S. Cerutti, “Discrimination of Sleep-Apnea-Related Decreases in the Amplitude Fluctuations of PPG Signal in Children by HRV Analysis”, IEEE Transactions on Biomedical Engineering, Vol. 56, No. 4, April 2009. |
| [15] | Sang Hyun Kim, Dong Wan Ryoo and Changseok Bae, “Adaptive Noise Cancellation Using Accelerometers for the PPG Signals from Forehead”, Proceeding of the 29th Annual International Conference of the IEEE EMBS Cite Internationale, Lyon, France, August, 23-26, 2007 |
| [16] | S. Sarkar, A. K. Bhoi and G. Sativa, “Fingertip Pulse Wave (PPG Signal) Analysis and Heart Rate Detection”, International Journal of Emerging Technology and Advanced Engineering, Vol. 2, pp 404-408, 2012. |
| [17] | K. W. Chan and Y. T. Zhang, “Adaptive Reduction of Motion Artifact from Photoplethysmographic Recordings using a Variable Step-Size LMS Filter”, Sensors, Proceeding of IEEE, Vol. 2, pp 1343-1346, 2002. |
| [18] | P. S. R. Diniz, E. A. B. da Silva and S. L. Netto, “Digital Signal Processing, Sytem Analysis and Design”, Second Edition, Federal University of Rio de Janerio, 2010. |
| [19] | Che-Hao H, Ming-Ya T, Go-Shine H, Tso-Chou L, Kuen-Pao C, Shung-Tai H, Liyang-Yu S, Chi-Yuan L, “Poincaré plot indexes of heart rate variability detect dynamic autonomic modulation during general anesthesia induction”, Acta Anaesthesiologica Taiwanica 50 (2012) 12-18 |
APA Style
Surhan Bozkurt, Gokhan Ertas. (2015). Comparison of Left and Right Fingertip PPG Signals Using Signal Power Estimates and Poincare Indexes. American Journal of Biomedical and Life Sciences, 3(2-2), 6-10. https://doi.org/10.11648/j.ajbls.s.2015030202.12
ACS Style
Surhan Bozkurt; Gokhan Ertas. Comparison of Left and Right Fingertip PPG Signals Using Signal Power Estimates and Poincare Indexes. Am. J. Biomed. Life Sci. 2015, 3(2-2), 6-10. doi: 10.11648/j.ajbls.s.2015030202.12
AMA Style
Surhan Bozkurt, Gokhan Ertas. Comparison of Left and Right Fingertip PPG Signals Using Signal Power Estimates and Poincare Indexes. Am J Biomed Life Sci. 2015;3(2-2):6-10. doi: 10.11648/j.ajbls.s.2015030202.12
Share This Article
Twitter
Linked In
Facebook
Copy
Download@article{10.11648/j.ajbls.s.2015030202.12,
author = {Surhan Bozkurt and Gokhan Ertas},
title = {Comparison of Left and Right Fingertip PPG Signals Using Signal Power Estimates and Poincare Indexes},
journal = {American Journal of Biomedical and Life Sciences},
volume = {3},
number = {2-2},
pages = {6-10},
doi = {10.11648/j.ajbls.s.2015030202.12},
url = {https://doi.org/10.11648/j.ajbls.s.2015030202.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajbls.s.2015030202.12},
abstract = {Photoplethysmography (PPG) is a non-invasive method to measure the relative blood volume change in blood vessels used in a wide range of medical applications. PPG signals can be recorded from different body regions such as fingertips, forehead and earlobes. In this study, information content of PPG signals of the left and the right index fingertips are processed and analyzed. PPG recordings are performed from ten healthy volunteers. Prior to recordings, all volunteers take rest for five minutes. Using a dedicated measurement system, signals are recorded from the left and the right fingertips of each volunteer simultaneously for 60 seconds with a sampling frequency of 50Hz, digitized with 10-bit resolution and stored in a personal computer. Signal average power and Poincare indexes of the signals are estimated and statistically analyzed. There are no systematic differences between the signal power estimated from the left and right fingertip signals (P>0.5). The signal power estimates for the left and the right fingertips show moderate correlations of 0.78, 0.80 and 0.68 for 0-4Hz, 0-2Hz and 2-4Hz frequency bands, respectively. When Poincare indexes SD1 and SD1/SD2 are considered, there are no systematic differences between the left and right fingertip signals (P > 0.5) however a systematic difference exists between the SD2 estimates (P=0.15). SD1 and SD1/SD2 estimates for the left and the right fingertips show high positive correlations of 1.00 and 0.99, respectively. However, a correlation of -0.30 exits for the left and the right fingertips when SD2 estimate is considered.},
year = {2015}
}
TY - JOUR T1 - Comparison of Left and Right Fingertip PPG Signals Using Signal Power Estimates and Poincare Indexes AU - Surhan Bozkurt AU - Gokhan Ertas Y1 - 2015/02/13 PY - 2015 N1 - https://doi.org/10.11648/j.ajbls.s.2015030202.12 DO - 10.11648/j.ajbls.s.2015030202.12 T2 - American Journal of Biomedical and Life Sciences JF - American Journal of Biomedical and Life Sciences JO - American Journal of Biomedical and Life Sciences SP - 6 EP - 10 PB - Science Publishing Group SN - 2330-880X UR - https://doi.org/10.11648/j.ajbls.s.2015030202.12 AB - Photoplethysmography (PPG) is a non-invasive method to measure the relative blood volume change in blood vessels used in a wide range of medical applications. PPG signals can be recorded from different body regions such as fingertips, forehead and earlobes. In this study, information content of PPG signals of the left and the right index fingertips are processed and analyzed. PPG recordings are performed from ten healthy volunteers. Prior to recordings, all volunteers take rest for five minutes. Using a dedicated measurement system, signals are recorded from the left and the right fingertips of each volunteer simultaneously for 60 seconds with a sampling frequency of 50Hz, digitized with 10-bit resolution and stored in a personal computer. Signal average power and Poincare indexes of the signals are estimated and statistically analyzed. There are no systematic differences between the signal power estimated from the left and right fingertip signals (P>0.5). The signal power estimates for the left and the right fingertips show moderate correlations of 0.78, 0.80 and 0.68 for 0-4Hz, 0-2Hz and 2-4Hz frequency bands, respectively. When Poincare indexes SD1 and SD1/SD2 are considered, there are no systematic differences between the left and right fingertip signals (P > 0.5) however a systematic difference exists between the SD2 estimates (P=0.15). SD1 and SD1/SD2 estimates for the left and the right fingertips show high positive correlations of 1.00 and 0.99, respectively. However, a correlation of -0.30 exits for the left and the right fingertips when SD2 estimate is considered. VL - 3 IS - 2-2 ER -
Email: