Photoplethysmography: Technology, Signal Analysis, and Applications is the first comprehensive volume on the theory, principles, and technology (sensors and electronics) of photoplethysmography (PPG). It provides a detailed description of the current state-of-the-art technologies/optical components enabling the extreme miniaturization of such sensors, as well as comprehensive coverage of PPG signal analysis techniques including machine learning and artificial intelligence. The book also outlines the huge range of PPG applications in healthcare, with a strong focus on the contribution of PPG in wearable sensors and PPG for cardiovascular assessment.
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Panicos A. Kyriacou is a Professor of Biomedical Engineering and Director of the Biomedical Research Centre at City, University of London, UK. Prof Kyriacou has a long track record in basic and applied research in Photoplethysmography (PPG). His primary focus is the utilisation of PPG for the innovation of new disruptive technologies for the early diagnosis of disease and the facilitation of unobtrusive health and fitness monitoring.
John Allen is a Professor of Biosensors and Bioinstrumentation at Coventry University, UK. Prof. Allen has an established track record in research covering novel vascular optical sensing technologies for the assessment of the microcirculation and innovative PPG pulse measurement and analysis for the detection of (cardio-)vascular disease. He is a registered Clinical Scientist and has wide-ranging expertise in clinical physiological measurement.
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.
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