Jump to ContentJump to Main Navigation
Show Summary Details
More options …

Measurement Science Review

The Journal of Institute of Measurement Science of Slovak Academy of Sciences

6 Issues per year


IMPACT FACTOR 2016: 1.344

CiteScore 2016: 1.88

SCImago Journal Rank (SJR) 2016: 0.495
Source Normalized Impact per Paper (SNIP) 2016: 1.419

Open Access
Online
ISSN
1335-8871
See all formats and pricing
More options …
Volume 12, Issue 6 (Dec 2012)

Issues

The Analysis of PPG Morphology: Investigating the Effects of Aging on Arterial Compliance

Q. Yousef / M. B. I. Reaz
  • Department of Electrical, Electronic and Systems Engineering, University Kebangsaan Malaysia, 43600 UKM, Bangi, Selangor, Malaysia
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ M. A. M. Ali
  • Department of Electrical, Electronic and Systems Engineering, University Kebangsaan Malaysia, 43600 UKM, Bangi, Selangor, Malaysia
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2012-12-15 | DOI: https://doi.org/10.2478/v10048-012-0036-3

This study presents the variations of photoplethysmogram (PPG) morphology with age. PPG measurement is done noninvasively at the index finger on both right and left hands for a sample of erectile dysfunction (ED) subjects. Some parameters are derived from the analysis of PPG contour showed in association with age. The age is found to be an important factor that affects the contour of PPG signals which accelerates the disappearance of PPG’s dicrotic notch and PPG’s inflection point as well. Arterial compliance is found to be degraded with age due to the fall of arterial elasticity. This study approaches the establishment of usefulness of PPG’s contour analysis as an investigator to the changes in the elastic properties of the vascular system, and as a detector of early sub-clinical atherosclerosis.

Keywords: Carotid intima-media thickness; contour analysis; erectile dysfunction; photoplethysmogram; reflection index; stiffness index

  • [1] WebMD. (2012). Atherosclerosis and erectile dysfunction. www.webmd.com/erectile-dysfunction/ atherosclerosis-and-erectile-dysfunction.Google Scholar

  • [2] Arnett, D.K., Evans, G.W., Riley, W.A. (1994). Arterial stiffness: A new cardiovascular risk factor? American Journal of Epidemiology, 140 (8), 669-682.Google Scholar

  • [3] Klocke, R., Cockcroft, J.R., Taylor, G.J., Hall, I.R., Blake, D.R. (2003). Arterial stiffness and central blood pressure, as determined by pulse wave analysis, in rheumatoid arthritis. Annals of the Rheumatic Diseases, 62 (5), 414-418.Google Scholar

  • [4] Reaz, M.B.I., Muhammad, I.I., Rosminazuin, A.R. (2006). Neural network based ECG signal analysis for heart rate detection. WSEAS Transactions on Signal Processing, 2 (6), 889-895.Google Scholar

  • [5] Reaz, M.B.I., Muhammad, I.I, Rosminazuin, A.R. (2006). An approach to detect QRS complex using backpropagation neural network. In Proceedings of the 7th WSEAS International Conference on Neural Networks, 12-14 June 2006. Wisconsin, US: WSEAS, 28-33.Google Scholar

  • [6] Reaz, M.B.I., Wei, L.S., (2004). Adaptive linear neural network filter for fetal ECG extraction. In Proceedings of International Conference on Intelligent Sensing and Information Processing (ICISIP 2004), 5-7 January 2004. IEEE, 321-324.Google Scholar

  • [7] Franklin, S.S., Khan, S.A., Wong, N.D., Larson, M.G., Levy, D. (1999). Is pulse pressure useful in predicting risk for coronary heart disease? The Framingham heart study. Circulation, 100 (4), 354-360.CrossrefPubMedGoogle Scholar

  • [8] Hussain, M.S., Mamun, M.D. (2012). Effectiveness of the wavelet transform on the surface EMG to understand the muscle fatigue during walk. Measurement Science Review, 12 (1), 28-33.Web of ScienceGoogle Scholar

  • [9] Ibrahimy, M.I., Reaz, M.B.I., Ali, M.A.M., Khoon, T.H., Ismail, A.F. (2006). Hardware realization of an efficient fetal QRS complex detection algorithm. WSEAS Transactions on Circuits and Systems, 5 (4), 575-581.Google Scholar

  • [10] Huotari, M., Yliaska, N., Lantto, V., Määttä, K., Kostamovaara, J. (2009). Aortic and arterial stiffness determination by photoplethysmographic technique. Procedia Chemistry, 1 (1), 1243-1246.Google Scholar

  • [11] Brumfield, A.M., Andrew, M.E. (2005). Digital pulse contour analysis: Investigating age-dependent indices of arterial compliance. Physiological Measurement, 26 (5), 599-608.PubMedCrossrefGoogle Scholar

  • [12] Gavish, B. (1987). Photoplethysmographic characterization of the vascular wall by a new parameter- minimum rise-time: Age dependence on health. Microcirc Endothelium Lymphatics, 3 (3-4), 281-296.Google Scholar

  • [13] Reisner, A., Shaltis, P.A., McCombie, D., Asada, H.H. (2008). Utility of the photoplethysmogram in circulatory monitoring. Anesthesiology, 108 (5), 950-958.Web of SciencePubMedCrossrefGoogle Scholar

  • [14] Challoner, J. (1979). Photoelectric Plethysmographyfor Estimating Cutaneous Blood Flow Non-Invasive Physiological Measurements. London: Academic Press, 127-151.Google Scholar

  • [15] Millasseau, S.C., Kelly, R.P., Ritter, J.M., Chowienczyk, P.J. (2002). Determination of agerelated increases in large artery stiffness by digital pulse contour analysis. Clinical Science, 103, 371-377.Google Scholar

  • [16] Mohamed, S., Mahamod, I., Zainol, R. (2004). Artificial neural network (ANN) approach to PPG signal classification. International Journal of Computing & Information Sciences, 2 (1), 58-65.Google Scholar

  • [17] Allen, J., Frame, R., Murray, A. (2002). Microvascular blood flow and skin temperature changes in the fingers following a deep inspiratory gasp. PhysiologicalMeasurement, 23 (2), 365-373.Google Scholar

  • [18] Allen, J. (2007). Photoplethysmography and its application in clinical physiological measurement. Physiological Measurement, 28 (3), R1.CrossrefWeb of ScienceGoogle Scholar

  • [19] Mohd-Yasin, F., Yap, M.T., Reaz, M.B.I. (2007). CMOS instrumentation amplifier with offset cancellation circuitry for biomedical application. WSEAS Transactions on Circuits and Systems, 6 (1), 171-174.Google Scholar

  • [20] Edmond, Z., Kalaivani, C., Mohd, A., Harwant, S. (2007). Analysis of the effect of ageing on rising edge characteristics of the photoplethysmogram using a modified Windkessel model. CardiovascularEngineering, 7 (4), 172-181.Google Scholar

  • [21] Karamanoglu, M. (1997). A system for analysis of arterial blood pressure waveforms in humans. Computers and Biomedical Research, 30 (3), 244-55.CrossrefGoogle Scholar

  • [22] Rubins, U., Grube, J., Kukulis, I. (2008). Photoplethysmography analysis of artery properties in patients with cardiovascular diseases. In 14th Nordic-Baltic Conference on Biomedical Engineering andMedical Physics, 16-20 June 2008. Springer, 319-322.Google Scholar

  • [23] Qawqzeh, Y., Ali, M.A.M., Reaz, M.B.I., Maskon, O. (2010). Photoplethysmogram peaks analysis in patients presenting with erectile dysfunction. In Proceedings of the International Conference onElectrical Computer Technology (ICECT 2010), 7-10 May 2010, 165-168.Google Scholar

  • [24] Loukogeorgakis, S., Dawson, R., Phillips, N., Martyn C.N., Greenwald, S.E. (2002). Validation of a device to measure arterial pulse wave velocity by a photoplethysmographic method. PhysiologicalMeasurement, 23 (3), 581-596.Google Scholar

  • [25] Hasan, M.A., Reaz, M.B.I., Ibrahimy, M.I., Hussain, M.S., Uddin, J. (2009). Detection and processing techniques of FECG signal for fetal monitoring.Biological Procedures Online, 11 (1), 263-295.CrossrefPubMedWeb of ScienceGoogle Scholar

  • [26] Gonzalez, R., Delgado, A., Padilla, J., Trenor, B., Ferrero, J., Saiz J. (2008). Photoplethysmographic augmentation index as a non invasive indicator for vascular assessments. In 4th European Conference onthe International Federation for Medical andBiological Engineering, 23-27 November 2008. Springer, 1167-1170.Google Scholar

About the article

Published Online: 2012-12-15

Published in Print: 2012-12-01


Citation Information: Measurement Science Review, ISSN (Online) 1335-8871, DOI: https://doi.org/10.2478/v10048-012-0036-3.

Export Citation

This content is open access.

Citing Articles

Here you can find all Crossref-listed publications in which this article is cited. If you would like to receive automatic email messages as soon as this article is cited in other publications, simply activate the “Citation Alert” on the top of this page.

[1]
Jae Mok Ahn
Healthcare Informatics Research, 2017, Volume 23, Number 1, Page 53
[3]
Aymen A. Alian
Anesthesia & Analgesia, 2017, Volume 124, Number 1, Page 154
[4]
Gerardo Tusman, Stephan H. Bohm, and Fernando Suarez-Sipmann
Anesthesia & Analgesia, 2017, Volume 124, Number 1, Page 62
[5]
Jian-Xing Wu, Chien-Ming Li, Yueh-Ren Ho, Ming-Jui Wu, Ping-Tzan Huang, and Chia-Hung Lin
IEEE Sensors Journal, 2016, Volume 16, Number 8, Page 2691
[6]
[7]
Michelle Hickey, Justin P. Phillips, and Panayiotis A. Kyriacou
Journal of Clinical Monitoring and Computing, 2016, Volume 30, Number 5, Page 727
[8]
Kyung Soon Hong, Kyu Tae Park, and Jae Mok Ahn
Healthcare Informatics Research, 2015, Volume 21, Number 1, Page 30
[9]
M Hickey, J P Phillips, and P A Kyriacou
Physiological Measurement, 2015, Volume 36, Number 3, Page 425

Comments (0)

Please log in or register to comment.
Log in