Photoplethysmography / Libristo.pl
Photoplethysmography

Code: 35448659

Photoplethysmography

by Panicos Kyriacou, John Allen

PPG is a simple low-cost non-invasive vascular optics technique that can detect pulsatile blood volume changes in skin tissue with each heartbeat. Recent advancements in signal processing technology, including machine learning and ... more

1239.17


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Book synopsis

PPG is a simple low-cost non-invasive vascular optics technique that can detect pulsatile blood volume changes in skin tissue with each heartbeat. Recent advancements in signal processing technology, including machine learning and AI, have also opened up new and exciting opportunities in PPG-based medical diagnostics. Photoplethysmography (PPG): Technology, Signal Analysis and Applications gives an understanding of the theory and principles of PPG as well as the technology (sensors and electronics) relating to PPG. It covers the current advances in optical components, enabling the extreme miniaturization of such sensors, as well an overview of the large volume of PPG applications in the broad area of healthcare, with a strong focus on the contribution of PPG in wearable sensors. The book also presents a comprehensive coverage of PPG signal analysis techniques including machine learning and artificial intelligence. Photoplethysmography (PPG): Technology, Signal Analysis and Applications is suitable for researchers and graduate students in biomedical engineering, bioengineering, medical engineering, clinical and industry researchers in healthcare technologies, medical devices, and wearable sensors, entrepreneurs and innovators in the broad area of technology for healthcare and wellbeing. Presents the underlying principles and technology of PPGIncludes applications for healthcare and wellbeingA focus on PPG in wearable sensors and devicesPresents advanced signal analysis techniquesIncludes cutting edge research and applications, and future directions

Book details

Book category Books in English Computing & information technology Computer science Signal processing

1239.17

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