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Advances in Wearable Photoplethysmography Applications in Health Monitoring: 2nd Edition

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".

Deadline for manuscript submissions: 31 July 2024 | Viewed by 871

Special Issue Editors


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Guest Editor
Bioengineering and Robotics Research Center E Piaggio, Università di Pisa, 56123 Pisa, Italy
Interests: biomedical signal processing; heart rate variability; complex systems; time series analysis; wearable systems
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
BSICOS, Aragón Institute for Engineering Research (I3A), IIS Aragón, University of Zaragoza, 50015 Zaragoza, Spain
Interests: biomedical signal processing; non-invasive autonomic nervous system assessment; wearable systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Photoplethysmography (PPG) is a low-cost optical technique that can provide useful information about the cardiovascular system, aiming to diagnose autonomic dysfunctions and peripheral vascular diseases. Due to its simplicity and versatility, this technology can be used to develop wearable and wireless devices for noninvasive and out-of-hospital monitoring of both healthy and pathological subjects.

Even if, in recent decades, technology has successfully increased the comfort of wearable PPG sensors, in terms of dimensions and battery life, scientific research is still working on several issues, e.g., poor sensor adhesion, which leads to acquiring signals corrupted by noise and motion artifacts, especially during physical activity. In this context, there are still many challenges related to PPG wearable device design and signal processing techniques to derive robust indices. The investigation of reliable PPG features, including rhythm and morphology features, is growing in interest, comprising novel signal processing methodologies.

This Special Issue will focus on original research papers and comprehensive reviews dealing with hardware and software advances in the development of robust and reliable biomarkers for the noninvasive monitoring of PPG. Topics of interest include, but are not limited to, cardiovascular pathologies, aging, stress and sport monitoring.

Dr. Mimma Nardelli
Prof. Dr. Raquel Bailón
Guest Editors

Manuscript Submission Information

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Keywords

  • photoplethysmography (PPG)
  • pulse rate variability (PRV)
  • wearable monitoring systems
  • signal quality
  • PPG signal processing
  • time series analysis

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Published Papers (1 paper)

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Research

19 pages, 8982 KiB  
Article
An Optical Signal Simulator for the Characterization of Photoplethysmographic Devices
by Erika Pittella, Orlandino Testa, Luca Podestà and Emanuele Piuzzi
Sensors 2024, 24(3), 1008; https://doi.org/10.3390/s24031008 - 04 Feb 2024
Viewed by 647
Abstract
(1) Background: An optical simulator able to provide a repeatable signal with desired characteristics as an input to a photoplethysmographic (PPG) device is presented in order to compare the performance of different PPG devices and also to test the devices with PPG signals [...] Read more.
(1) Background: An optical simulator able to provide a repeatable signal with desired characteristics as an input to a photoplethysmographic (PPG) device is presented in order to compare the performance of different PPG devices and also to test the devices with PPG signals available in online databases. (2) Methods: The optical simulator consists of an electronic board containing a photodiode and LEDs at different wavelengths in order to simulate light reflected by the body; the PPG signal taken from the chosen database is reproduced by the electronic board, and the board is used to test a wearable PPG medical device in the form of earbuds. (3) Results: The PPG device response to different average and peak-to-peak signal amplitudes is shown in order to assess the device sensitivity, and the fidelity in tracking the actual heart rate is also investigated. (4) Conclusions: The developed optical simulator promises to be an affordable, flexible, and reliable solution to test PPG devices in the lab, allowing the testing of their actual performances thanks to the possibility of using PPG databases, thus gaining useful and significant information before on-the-field clinical trials. Full article
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