A Novel Approach to the Respiratory Disease Follow-up Based on Plethhysmography Signal Parameters

Rene I Gonzalez Fernandez*; Jose L Hernandez Caceres; Jorge G Perez Blanco

doi:10.37871/jbres1505

Research Article

A Novel Approach to the Respiratory Disease Follow-up Based on Plethhysmography Signal Parameters

Journal of Biomedical Research & Environmental Sciences article abstract with citation details, DOI, publication dates, subject areas, full text links, and references.

View DOI Submit Manuscript

News & Press

Publish academic announcements

Share institutional updates, conference announcements, research highlights, and education/science initiatives on JBRES.

Free OptionsSponsored Banner

View Page Submit by Email

Publish Smarter

Quick reasons scholars choose us

Speed + clarity

Decision in 7–14 days

Double-blind review with actionable feedback and clear next steps.

Fast ReviewFair Process

Visibility

DOI + discovery support

Crossref DOI registration and discovery-focused publishing for global reach.

Crossref DOIDiscoverability

Author support

Responsive editorial help

Quick communication, formatting guidance, and proof support until publication.

SupportProof Help

Impact proof

Monthly reach updates

After publishing, we can share visibility signals (views, downloads, discoverability).

Reach ReportMetrics

Trust

Ethical, transparent publishing

Clear policies, COI handling, and publication ethics that protect your work.

EthicsTransparency

Ownership

You keep your rights

Open access publishing with author-friendly licensing and long-term availability.

Author RightsOpen Access

Quality polish

Editing + layout support

Cleaner formatting, better readability, and publication-ready presentation.

EditingProfessional Layout

Time saver

Clear submission guidance

Simple steps, helpful templates, and quick checks to reduce back-and-forth.

Easy SubmitLess Delay

Priority

Returning authors get faster handling

If you’ve published with us, we prioritize communication and processing.

PriorityReturning Authors

Visibility tools

Share-ready links and citations

DOI links, citation-ready details, and share options to amplify your paper.

Citation ReadyShare Tools

Article Details

Publication record, authors, dates, abstract, and full text access.

Open Access

Article Type Research Article

Subject Medicine Group

OCLC 9575087572

Rene I Gonzalez Fernandez*, Jose L Hernandez Caceres and Jorge G Perez Blanco

Issue: Volume3-Issue6

Pages: 729-733

Received: 2022-06-27

Accepted: 2022-06-30

Published: 2022-06-30

Abstract

Aim: The aim of this paper is to present a novel approach for the monitoring of respiratory diseases based on the combined study of heart rate, respiratory rate and Pulse Oximetry (SpO2).

Introduction: Since the start of the COVID-19 pandemic, respiratory diseases have increased its worldwide prevalence dramatically. Added to the impact of the pandemic is the already existing situation of a growing prevalence of diseases such as bronchial asthma and Chronic Obstructive Pulmonary Disease (COPD). On the other hand, it is known that the cardiovascular system is overloaded when there are respiratory insufficiencies and this condition can cause severe damage to health. Pulmonology and Cardiology are independent medical specialties that deal with these diseases and often do not cooperate with each other strongly, so a proposal is presented that combines respiratory and cardiovascular variables to deal with this health problem.

Methods: A prototype was developed based on the STM32L073CZTx processor controlling the E305654 pulse oximetry module, which on demand delivers SpO2, photo plethysmography signal samples and pulse rate values. A vector was computed, every thirty minutes, to combine the respiratory rate obtained from the Plethysmography Signal (PPG), the mean value of SpO2 and the pulse rate. The vector module represents the cardiovascular and respiratory systems performance.

Results: Twenty healthy volunteers, twenty people with COPD and five subjects suffering bronchial asthma, during periods without crisis, were studied. The dispersion within the group of each patient was not significant, but a notable difference can be observed between the healthy volunteers and the other people studied. A "normal region" can be set with clearly defined borders.

Conclusion: The proposed solution seems promising for evaluating respiratory function even when it is compensated by a cardiac response, making it easier to identify people suffering from respiratory diseases and who may appear normal or healthy.

FullText HTML FullText PDF DOI: 10.37871/jbres1505

Certificate of Publication

Copyright

How to cite this article

Gonzalez Fernandez RI, Hernandez Caceres JL, Perez Blanco JG. A Novel Approach to the Respiratory Disease Follow-up Based on Plethhysmography Signal Parameters. J Biomed Res Environ Sci. 2022 June 30; 3(6): 729-733. doi: 10.37871/jbres1505, Article ID: JBRES1505, Available at: https://www.jelsciences.com/articles/jbres1505.pdf

Subject area(s)

Respiratory Medicine Pulmonology

References

World Health Organization. The world health report. 2020.
Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, Zhao X, Huang B, Shi W, Lu R, Niu P, Zhan F, Ma X, Wang D, Xu W, Wu G, Gao GF, Tan W, China Novel Coronavirus Investigating and Research Team. A novel coronavirus from patients with pneumonia in china, 2019. N Engl J Med. 2020 Feb 20;382(8):727-733. doi: 10.1056/NEJMoa2001017. Epub 2020 Jan 24. PMID: 31978945; PMCID: PMC7092803.
Carlos WG, Dela Cruz CS, Cao B, Pasnick S, Jamil S. Novel wuhan (2019-nCoV) coronavirus. Am J Respir Crit Care Med. 2020 Feb 15;201(4):P7-P8. doi: 10.1164/rccm.2014P7. PMID: 32004066.
Sepp VP, Vinson J, Lahtinen O, Hyttinen J. Assessment of breathing parameters during running with a wearable bio impedance device. 4th European Conference of the International Federation for Medical and Biological Engineering. Springer Berlin Heidelberg. 2009.
Karlen W, Raman S, Ansermino JM, Dumont GA. Multiparameter respiratory rate estimation from the photo plethysmogram. IEEE Trans Biomed Eng. 2013 Jul;60(7):1946-1953. doi: 10.1109/TBME.2013.2246160. Epub 2013 Feb 8. PMID: 23399950.
Leonard PA, Douglas JG, Grubb NR, Clifton D, Addison PS, Watson JN. A fully automated algorithm for the determination of respiratory rate from the photo plethysmogram. J Clin Monit Comput. 2006 Feb;20(1):33-36. doi: 10.1007/s10877-005-9007-7. Epub 2006 Mar 11. PMID: 16532280.
Charlton PH, Villarroel M, Salguiero F. Waveform analysis to estimate respiratory Rate. 2016 Sep 10. In: MIT Critical Data, editor. Secondary analysis of electronic health records [Internet]. Cham (CH): Springer; 2016. Chapter 26. PMID: 31314269.
Charlton PH, Bonnici T, Tarassenko L, Alastruey J, Clifton DA, Beale R, Watkinson PJ. Extraction of respiratory signals from the electrocardiogram and photo plethysmogram: technical and physiological determinants. Physiol Meas. 2017 May;38(5):669-690. doi: 10.1088/1361-6579/aa670e. Epub 2017 Mar 15. PMID: 28296645.
Meredith DJ, Clifton D, Charlton P, Brooks J, Pugh CW, Tarassenko L. Photo plethysmographic derivation of respiratory rate: A review of relevant physiology. J Med Eng Technol. 2012 Jan;36(1):1-7. doi: 10.3109/03091902.2011.638965. Epub 2011 Dec 20. PMID: 22185462.
Madhav KV, Ram MR, Krishna EH, Komalla NR, Reddy KA. Estimation of respiration rate from ECG, BP and PPG signals using empirical mode decomposition. Instrumentation and Measurement Technology Conference. 2011.
Fusco D, Locatelli F, Onorati GC, Durelli, Santambrogio. On how to extract breathing rate from PPG signal using wearable devices. 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS). 2015:1-4. doi: 10.1109/BioCAS.2015.7348369.
Goldberger AL, Amaral LA, Glass L, Hausdorff JM, Ivanov PC, Mark RG, Mietus JE, Moody GB, Peng CK, Stanley HE. Physiobank, physiotoolkit, and physionet: Components of a new research resource for complex physiologic signals. Circulation. 2000 Jun 13;101(23):E215-220. doi: 10.1161/01.cir.101.23.e215. PMID: 10851218.