Advances in Photopletysmography Signal Analysis for Biomedical Applications

Moraes, Jermana L.; Rocha, Matheus X.; Vasconcelos, Glauber G.; Vasconcelos Filho, José E.; De Albuquerque, Victor Hugo C.; Alexandria, Auzuir R.

doi:10.3390/s18061894

Cited by 292Non-Invasive Vital Sign MonitoringHeart Rate Variability and Autonomic ControlECG Monitoring and Analysis

Advances in Photopletysmography Signal Analysis for Biomedical Applications

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Moraes, Jermana L., Rocha, Matheus X., Vasconcelos, Glauber G., Vasconcelos Filho, José E., De Albuquerque, Victor Hugo C., Alexandria, Auzuir R.·2018·Sensors

DOI 10.3390/s18061894PMC PMC6022166

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Abstract

Heart Rate Variability (HRV) is an important tool for the analysis of a patient’s physiological conditions, as well a method aiding the diagnosis of cardiopathies. Photoplethysmography (PPG) is an optical technique applied in the monitoring of the HRV and its adoption has been growing significantly, compared to the most commonly used method in medicine, Electrocardiography (ECG). In this survey, definitions of these technique are presented, the different types of sensors used are explained, and the methods for the study and analysis of the PPG signal (linear and nonlinear methods) are described. Moreover, the progress, and the clinical and practical applicability of the PPG technique in the diagnosis of cardiovascular diseases are evaluated. In addition, the latest technologies utilized in the development of new tools for medical diagnosis are presented, such as Internet of Things, Internet of Health Things, genetic algorithms, artificial intelligence and biosensors which result in personalized advances in e-health and health care. After the study of these technologies, it can be noted that PPG associated with them is an important tool for the diagnosis of some diseases, due to its simplicity, its cost–benefit ratio, the easiness of signals acquisition, and especially because it is a non-invasive technique.

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PPG signals are low-amplitude signals and have a normal pulse frequency within the range of 0.5 to 4 Hz.
“PPG signals are low-amplitude signals and have a normal pulse frequency within the range of 0.5 to 4 Hz [195,196].”
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Authors: Moraes, J. L., Rocha, M. X., Vasconcelos, G. G., Vasconcelos Filho, J. E., De Albuquerque, V. H. C., & Alexandria, A. R.
Affiliations: Instituto Federal de Educação, Ciência e Tecnologia do Ceará (BR)
Hospital de Messejana (BR)
Programa de Pós-Graduação em Informática Aplicada, Laboratório de Bioinformática, Universidade de Fortaleza, Fortaleza 60811-905, Ceará, Brazil
ORCID: Moraes, Jermana L.
Vasconcelos, Glauber G.
De Albuquerque, Victor Hugo C.
Alexandria, Auzuir R.
Venue: Sensors
Publisher: MDPI AG
Published: 2018-06-09
Volume: 18
Issue: 6
Pages: 1894
ISSN: 1424-8220 (ISSN-L)
DOI: 10.3390/s18061894
PMC: PMC6022166
OpenAlex: W2808345783
Cited by: 292
References: 136
Citations by year: 2026: 12 · 2025: 31 · 2024: 37 · 2023: 38 · 2022: 49 · 2021: 46 · 2020: 38 · 2019: 38 · 2018: 3
FWCI: 2.55
Type: journal article
Language: en
Open access: gold
dx.doi.org
Licence: cc-by
creativecommons.org/licenses/by/4.0/ (vor)
Locations: Sensors (publishedVersion, cc-by)
Europe PMC (PubMed Central) (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders: Conselho Nacional de Desenvolvimento Científico e Tecnológico (304315/2017-6)
Fundação Cearense de Apoio ao Desenvolvimento Científico e Tecnológico (no number)
Topics: Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
Keywords: photoplethysmography, heart rate variability, PPG signal analysis, cardiovascular disease diagnosis, non-invasive monitoring, PPG sensor, Internet of Medical Things, artificial intelligence, genetic algorithm, biosensors, e-health, Internet of Things
MeSH terms: Blood Pressure, Heart Rate, Humans, Signal Processing, Computer-Assisted, Photoplethysmography, Telemedicine

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