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

[1] WebMD. (2012). Atherosclerosis and erectile dysfunction. www.webmd.com/erectile-dysfunction/ atherosclerosis-and-erectile-dysfunction.Search in 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), 669-682.10.1093/oxfordjournals.aje.a1173157942769Search in 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), 414-418.10.1136/ard.62.5.414175454912695151Search in 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.Search in 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.Search in 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, 321-324.10.1109/ICISIP.2004.1287675Search in 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), 354-360.10.1161/01.CIR.100.4.35410421594Search in Google 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), 28-33.10.2478/v10048-012-0005-xSearch in Google 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.Search in 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), 1243-1246.10.1016/j.proche.2009.07.310Search in 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), 599-608.10.1088/0967-3334/26/5/00316088055Search in Google 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.Search in Google Scholar

[13] Reisner, A., Shaltis, P.A., McCombie, D., Asada, H.H. (2008). Utility of the photoplethysmogram in circulatory monitoring. Anesthesiology, 108 (5), 950-958.10.1097/ALN.0b013e31816c89e118431132Search in Google Scholar

[14] Challoner, J. (1979). Photoelectric Plethysmographyfor Estimating Cutaneous Blood Flow Non-Invasive Physiological Measurements. London: Academic Press, 127-151.Search in 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, 371-377.10.1042/cs103037112241535Search in 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.Search in 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), 365-373.10.1088/0967-3334/23/2/31212051308Search in Google Scholar

[18] Allen, J. (2007). Photoplethysmography and its application in clinical physiological measurement. Physiological Measurement, 28 (3), R1.10.1088/0967-3334/28/3/R0117322588Search in Google 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.Search in 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.Search in Google Scholar

[21] Karamanoglu, M. (1997). A system for analysis of arterial blood pressure waveforms in humans. Computers and Biomedical Research, 30 (3), 244-55.10.1006/cbmr.1997.14509281331Search in Google 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, 319-322.10.1007/978-3-540-69367-3_85Search in 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, 165-168.10.1109/ICECTECH.2010.5480006Search in 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), 581-596.10.1088/0967-3334/23/3/30912214765Search in 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), 263-295.10.1007/s12575-009-9006-z305580019495912Search in Google 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.Search in Google Scholar