Establishing best practices in photoplethysmography signal acquisition and processing

Author:

Charlton Peter HORCID,Pilt KristjanORCID,Kyriacou Panicos AORCID

Abstract

Abstract Photoplethysmography is now widely utilised by clinical devices such as pulse oximeters, and wearable devices such as smartwatches. It holds great promise for health monitoring in daily life. This editorial considers whether it would be possible and beneficial to establish best practices for photoplethysmography signal acquisition and processing. It reports progress made towards this, balanced with the challenges of working with a diverse range of photoplethysmography device designs and intended applications, each of which could benefit from different approaches to signal acquisition and processing. It concludes that there are several potential benefits to establishing best practices. However, it is not yet clear whether it is possible to establish best practices which hold across the range of photoplethysmography device designs and applications.

Funder

European Cooperation in Science and Technology

Haridus- ja Teadusministeerium

British Heart Foundation

Publisher

IOP Publishing

Subject

Physiology (medical),Biomedical Engineering,Physiology,Biophysics

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A machine learning-based approach for constructing remote photoplethysmogram signals from video cameras;Communications Medicine;2024-06-07

2. Investigating the impact of contact pressure on photoplethysmograms;Biomedical Engineering Advances;2024-06

3. Automated estimation of blood pressure using PPG recordings: an updated review;Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing;2024

4. Detection of atrial fibrillation using photoplethysmography signals: a systemic review;Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing;2024

5. The 2023 wearable photoplethysmography roadmap;Physiological Measurement;2023-11-01

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