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 signal processing engineers, undergraduate and postgraduate student community.
| Autorius: | Harikumar Rajaguru, Sunil Kumar Prabhakar, Vinoth Kumar Bojan, |
| Leidėjas: | LAP LAMBERT Academic Publishing |
| Išleidimo metai: | 2015 |
| Knygos puslapių skaičius: | 72 |
| ISBN-10: | 3659678546 |
| ISBN-13: | 9783659678547 |
| Formatas: | 220 x 150 x 5 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Clinical Significance of PPG Signals- An Engineering Perspective“
