Abstract
Introducing photoplethysmography
Welcome to this Research Topic in Frontiers in Physiology, focusing on Advances in Basic and Applied Research in Photoplethysmography.
Photoplethysmography (PPG) is a low-cost and simple vascular optics technique that can be used to detect blood volume changes in the microvascular bed of tissue with each heartbeat (Allen, 2007; Kyriacou and Allen, 2021). The popularity of this Research Topic area can be attributed to the realization that PPG has important implications for a wide range of applications including assessment of the cardiovascular system, monitoring of vital signs including non-invasive estimation of blood pressure and heart rate, and the study of pain. There is currently a large body of literature contributing new knowledge on the relation of PPG pulse morphology, pulse wave analysis and pulse feature extraction with the physiological status of peripheral blood vessels, such as vascular aging and stiffness, blood pressure and compliance, microvascular disease, autonomic function, and others. There are also significant efforts in the utilization of the PPG for the detection of heart arrhythmias such as Atrial Fibrillation (AF). In addition, the recent significant contributions of PPG to wearable devices have had a major impact on the popularity and usability of PPG. Researchers continue to strive to combine the PPG sensory capabilities of wearables, such as smartwatches, with Artificial Intelligence (AI) machine learning approaches to deliver ubiquitous health monitoring solutions that go beyond currently available consumer devices. PPG and AI have a bright future together for the benefit of patients.
The aim of this Research Topic for Frontiers in Physiology is to bring together the latest cutting-edge basic and applied research in the field of Photoplethysmography. Our Research Topic comes from world-leading authors in the field and showcases 16 original research papers covering a diverse range of contributions in PPG measurement and analysis.
Welcome to this Research Topic in Frontiers in Physiology, focusing on Advances in Basic and Applied Research in Photoplethysmography.
Photoplethysmography (PPG) is a low-cost and simple vascular optics technique that can be used to detect blood volume changes in the microvascular bed of tissue with each heartbeat (Allen, 2007; Kyriacou and Allen, 2021). The popularity of this Research Topic area can be attributed to the realization that PPG has important implications for a wide range of applications including assessment of the cardiovascular system, monitoring of vital signs including non-invasive estimation of blood pressure and heart rate, and the study of pain. There is currently a large body of literature contributing new knowledge on the relation of PPG pulse morphology, pulse wave analysis and pulse feature extraction with the physiological status of peripheral blood vessels, such as vascular aging and stiffness, blood pressure and compliance, microvascular disease, autonomic function, and others. There are also significant efforts in the utilization of the PPG for the detection of heart arrhythmias such as Atrial Fibrillation (AF). In addition, the recent significant contributions of PPG to wearable devices have had a major impact on the popularity and usability of PPG. Researchers continue to strive to combine the PPG sensory capabilities of wearables, such as smartwatches, with Artificial Intelligence (AI) machine learning approaches to deliver ubiquitous health monitoring solutions that go beyond currently available consumer devices. PPG and AI have a bright future together for the benefit of patients.
The aim of this Research Topic for Frontiers in Physiology is to bring together the latest cutting-edge basic and applied research in the field of Photoplethysmography. Our Research Topic comes from world-leading authors in the field and showcases 16 original research papers covering a diverse range of contributions in PPG measurement and analysis.
| Original language | English |
|---|---|
| Article number | 1415049 |
| Number of pages | 4 |
| Journal | Frontiers in Physiology |
| Volume | 15 |
| DOIs | |
| Publication status | Published - 16 May 2024 |
Bibliographical note
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.Keywords
- photoplethysmography
- pulse wave analysis
- diagnostic
- physiology
- optical
- machine learning
- cardiovascular
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