PPG Signal Analysis: An Introduction Using MATLAB (R)

This book is a valuable resource for analyzing Photoplethysmogram (PPG) signals using MATLAB®, providing information and methodologies for empirical and experimental process, validation, testing, and simulation of developed algorithms on wearable, battery-driven, or point-of-care devices.

Format: Hardback
Length: 270 pages
Publication date: 15 December 2020
Publisher: Taylor & Francis Ltd

This book serves as a comprehensive and up-to-date resource for analyzing Photoplethysmogram (PPG) signals using MATLAB®, a vital technology in the evaluation of medical and diagnostic data in mobile devices. It provides detailed information and methodologies that enable readers to understand and navigate the empirical and experimental process, from data collection to data analysis, feature extraction, and more. Furthermore, the book delves into the practical applications of introduced methodologies, showcasing how they can be utilized as tools to validate, test, and simulate developed algorithms before their implementation and deployment on wearable, battery-driven, or point-of-care devices.

The significance of PPG signal analysis in the medical field is underscored by its ability to non-invasively monitor vital signs and cardiovascular health. By analyzing the changes in blood volume and oxygen saturation in the skin, PPG signals can provide valuable insights into a wide range of medical conditions, including heart disease, stroke, diabetes, and respiratory disorders. Moreover, PPG signals can be used in wearable devices, such as smartwatches and fitness trackers, to monitor and track physical activity, heart rate, and other health metrics in real-time.

The book begins by introducing the fundamentals of PPG signal analysis, including signal acquisition, preprocessing, and feature extraction. It then discusses various methodologies and algorithms used in PPG signal processing, such as time-domain analysis, frequency-domain analysis, and machine learning techniques. Readers will learn how to apply these methodologies to real-world PPG data and extract meaningful features that can be used for medical diagnosis and monitoring.

In addition to discussing the theoretical aspects of PPG signal analysis, the book also provides practical insights into the challenges and limitations of using this technology in real-world applications. It discusses the importance of data quality, noise reduction, and feature selection in ensuring accurate and reliable results. The book also addresses the ethical considerations and privacy concerns associated with the use of PPG data in medical applications.

Throughout the book, numerous examples and case studies are provided to illustrate the practical applications of PPG signal analysis. These examples cover a wide range of medical applications, including heart rate variability analysis, sleep monitoring, and stress detection. Readers will gain hands-on experience by working through these examples and applying the learned methodologies to their own PPG data.

In conclusion, this book serves as a valuable resource for researchers, engineers, and practitioners interested in analyzing Photoplethysmogram (PPG) signals using MATLAB®. It provides a comprehensive and up-to-date understanding of the theoretical and practical aspects of PPG signal analysis, enabling readers to develop and implement effective algorithms for medical diagnosis and monitoring. Whether you are a seasoned professional or a newcomer to the field, this book will help you advance your knowledge and skills in PPG signal analysis.

Weight: 642g
Dimension: 161 x 242 x 22 (mm)
ISBN-13: 9781138049710