Algorithm for systolic peak detection of pulse wave

In this paper, a new method for systolic peak detection of pulse wave signals is presented. This method is based on the detection of each peak by the correlation with adaptive Gaussian function template (GFT). The point of maximum correlation is selected as a systolic peak. Its accuracy and noise robustness were evaluated over a set of annotated signals (arterial blood pressure) from CSL database. The GFT method showed an error respect to trained observers less than 5.5 ± 4.2 ms. Furthermore, this method has an error of 8.99 ± 25.09 ms for several noise realization at 9 dB of signal-noise ratio. The results suggest that this method could be used in the measurement of heart rate and pulse transit time, and in the study of autonomic function.

[1]  B. Westerhof,et al.  Quantification of Wave Reflection in the Human Aorta From Pressure Alone: A Proof of Principle , 2006, Hypertension.

[2]  Douglas G. Altman,et al.  Measurement in Medicine: The Analysis of Method Comparison Studies , 1983 .

[3]  Mang I Vai,et al.  On an automatic delineator for arterial blood pressure waveforms , 2010, Biomed. Signal Process. Control..

[4]  Petros Spachos,et al.  Feasibility study of photoplethysmographic signals for biometric identification , 2011, 2011 17th International Conference on Digital Signal Processing (DSP).

[5]  C. Hayward,et al.  application Assessment of endothelial function using peripheral waveform analysis: A clinical , 2008 .

[6]  P. Chowienczyk,et al.  Determination of age-related increases in large artery stiffness by digital pulse contour analysis. , 2002, Clinical science.

[8]  B. Westerhof,et al.  Evaluation of Noninvasive Methods to Assess Wave Reflection and Pulse Transit Time From the Pressure Waveform Alone , 2009, Hypertension.

[9]  J. Mukherjee,et al.  A New Two-Pulse Synthesis Model for Digital Volume Pulse Signal Analysis , 2010, Cardiovascular engineering.

[10]  Xiao Hu,et al.  An algorithm for extracting intracranial pressure latency relative to electrocardiogram R wave , 2008, Physiological measurement.

[11]  David J. Webb,et al.  Pulse‐Wave Analysis: Clinical Evaluation of a Noninvasive, Widely Applicable Method for Assessing Endothelial Function , 2002, Arteriosclerosis, thrombosis, and vascular biology.

[12]  P. Chowienczyk,et al.  Contour analysis of the photoplethysmographic pulse measured at the finger , 2006, Journal of hypertension.

[13]  C. M. Adkins,et al.  Pulse Decomposition Analysis of the digital arterial pulse during hemorrhage simulation , 2011, Nonlinear biomedical physics.

[14]  Uldis Rubins,et al.  Finger and ear photoplethysmogram waveform analysis by fitting with Gaussians , 2008, Medical & Biological Engineering & Computing.

[15]  Siegfried Wassertheurer,et al.  Intelligent multichannel sensors for pulse wave analysis , 2011, Math. Comput. Simul..

[16]  Uldis Rubins,et al.  Photoplethysmography Analysis of Artery Properties in Patients with Cardiovascular Diseases , 2008 .

[17]  B. Trenor,et al.  A computer based photoplethysmographic vascular analyzer through derivatives , 2008, 2008 Computers in Cardiology.

[18]  James McNames,et al.  An automatic beat detection algorithm for pressure signals , 2005, IEEE Transactions on Biomedical Engineering.

[19]  M. Pfeffer,et al.  Comparison of techniques for measuring pulse-wave velocity in the rat. , 1997, Journal of applied physiology.

[20]  J B Harness,et al.  Skin photoplethysmography--a review. , 1989, Computer methods and programs in biomedicine.

[21]  Xiao Hu,et al.  Pulse onset detection using neighbor pulse-based signal enhancement. , 2009, Medical engineering & physics.

[22]  M. Meng,et al.  Multi-Gaussian fitting for Digital Volume Pulse using Weighted Least Squares method , 2011, 2011 IEEE International Conference on Information and Automation.

[23]  A Murray,et al.  Age-related changes in peripheral pulse timing characteristics at the ears, fingers and toes , 2002, Journal of Human Hypertension.

[24]  Westgate Road,et al.  Photoplethysmography and its application in clinical physiological measurement , 2007 .

[25]  Gi-Ryon Kim,et al.  Estimation of Systolic and Diastolic Pressure using the Pulse Transit Time , 2010 .