Clinical Significance of PPG Signals- An Engineering Perspective - Rajaguru, Harikumar;Prabhakar, Sunil Kumar;Bojan, Vinoth Kumar
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In this work, a comprehensive review on Photoplethysmography, its clinical applications and the analysis of PPG signals are given. Photoplethysmography (PPG) is a simple and low-cost optical technique that can be used to detect blood volume changes in the micro vascular layer of tissue. Mostly it is used as a non-invasive technique to make measurements at the skin surface. Five known PPG recordings are studied. Chapter 1 reviews the PPG signals as a marker for clinical applications. Chapter 2 emphasizes the review on PPG analysis with respect to the Heart Rate Turbulence and Ventricular…mehr

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Produktbeschreibung
In this work, a comprehensive review on Photoplethysmography, its clinical applications and the analysis of PPG signals are given. Photoplethysmography (PPG) is a simple and low-cost optical technique that can be used to detect blood volume changes in the micro vascular layer of tissue. Mostly it is used as a non-invasive technique to make measurements at the skin surface. Five known PPG recordings are studied. Chapter 1 reviews the PPG signals as a marker for clinical applications. Chapter 2 emphasizes the review on PPG analysis with respect to the Heart Rate Turbulence and Ventricular Premature Beat. Chapter 3 analyzes the PPG signals with respect to Hurst component, Singular Value Decomposition, Euclidean Distance and K-means Clustering. Chapter 4 analyzes the PPG signals with respect to the statistical parameters like mean, variance, standard deviation, skewness and Kurtosis. Chapter 5 discusses the conclusion and future scope. This monograph is particularly useful for signalprocessing engineers, undergraduate and postgraduate student community.
Autorenporträt
R.Harikumar was awarded Ph.D in I &C Engg from Anna university Chennai in April 2009. He has 25 years of teaching experience at college level.Currently he is a Professor at Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam. His areas of interest is Bio signal and Image Processing, Soft computing and Communication Engineering.