Skip to main content

Advertisement

SpringerLink
Log in

Exhaled breath monitoring during home ventilo-therapy in COPD patients by a new distributed tele-medicine system

  • Original Research
  • Published:
Journal of Ambient Intelligence and Humanized Computing Aims and scope Submit manuscript

Abstract

Chronic obstructive pulmonary disease (COPD) is a major cause of morbidity and mortality in the world, and leads to a substantial burden on healthcare services. Effective and timely management of patients with COPD has been essential to alleviate COPD exacerbation, improve the quality of life, and consequently reduce the economic burden. To achieve this, we propose an innovative tele-medicine system based on Smart Breath Analyzer (SBA) device and devoted to the tele-monitoring of exhaled air in patients suffering chronic respiratory failure and home-assisted by mechanical ventilation. In this work the main characteristics of the developed tele-medicine system are presented together with preliminary pre-clinical test results. The preliminary tests demonstrated the effective possibility to enter the SBAs in medical practice in home-ventilo-therapy protocols by suitable interpretation of the monitored parameters from a physiological point of view. Thanks to a network composed by many SBA devices that send patients data to a remote server, the doctor can tele-monitor the status of patient in order to check any state of exacerbation of the disease and consequently improve quality of life in COPD.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Adeloye D, Chua S, Lee C, Basquill C, Papana A, Theodoratou E, Nair H, Gasevic D, Sridhar D, Campbell H, Chan KY, Sheikh A, Rudan I (2015) Global and regional estimates of COPD prevalence: systematic review and meta-analysis. J Glob Health 5:020415

    Article  Google Scholar 

  • Ambrosino N, Vagheggini G, Mazzoleni S, Vitacca M (2016) Telemedicine in chronic obstructive pulmonary disease. Breathe 12:350–356

    Article  Google Scholar 

  • American Thoracic Society Foundation (2014) The Global burden of lung disease. http://foundation.thoracic.org/news/global-burden.php. Accessed 12 Oct 2018

  • Bourbeau J, Farias R (2018) Making sense of telemedicine in the management of COPD. Eur Respir J 51:1800851

    Article  Google Scholar 

  • da Cruz MAA, Rodrigues JJPC, Al-Muhtadi J, Korotaev VV, De Albuquerque VHC (2018) A reference model for internet of things middleware. IEEE Internet Things J 5:871–883

    Article  Google Scholar 

  • De Luca V, Epicoco I, Lezzi D, Aloisio G (2011) A web API framework for developing grid portals. Proc Comput Sci 4:392–401

    Article  Google Scholar 

  • De Luca V, Epicoco I, Lezzi D, Aloisio G (2012) GRB_WAPI, a RESTful framework for grid portals. Proc Comput Sci 9:459–468

    Article  Google Scholar 

  • De Paolis LT, De Luca V, Paiano R (2018) Sensor data collection and analytics with thingsboard and spark streaming. In: IEEE Workshop on environmental, energy, and structural monitoring systems (EESMS) 1-6

  • de Vries R, Brinkman P, van der Schee MP, Fens N, Dijkers E, Bootsma SK, de Jongh FH, Sterk PJ (2015) Integration of electronic nose technology with spirometry: validation of a new approach for exhaled breath analysis. J Breath Res 9:046001

    Article  Google Scholar 

  • Ding H, Moodley Y, Kanagasingam Y, Karunanithi M (2012) A mobile-health system to manage chronic obstructive pulmonary disease patients at home. In: Conf Proc IEEE Eng Med Biol Soc 2012, pp 2178–2181

  • Dixon LC, Ward DJ, Smith J, Holmes S, Mahadeva R (2016) New and emerging technologies for the diagnosis and monitoring of chronic obstructive pulmonary disease: a horizon scanning review. Chron Respir Dis 13:321–336

    Article  Google Scholar 

  • Domingo C, Blanch L, Murias G, Luján M (2010) State-of-the-art sensor technology in spain: invasive and non-invasive techniques for monitoring respiratory variables. Sensors 10:4655–4674

    Article  Google Scholar 

  • Dragonieri S, Annema JT, Schot R, van der Schee MP, Spanevello A, Carratú P, Resta O, Rabe KF, Sterk PJ (2009) An electronic nose in the discrimination of patients with non-small cell lung cancer and. Lung Cancer 64:166–170

    Article  Google Scholar 

  • Dragonieri S, Pennazza G, Carratu P, Resta O (2017) Electronic Nose Technology In Respiratory Diseases. Lung 195:157–165

    Article  Google Scholar 

  • Finamore P, Pedone C, Scarlata S, Di Paolo A, Grasso S, Santonico M, Pennazza G, Antonelli Incalzi R (2018) Validation of exhaled volatile organic compounds analysis using electronic nose as index of COPD severity. Int J Chron Obstruct Pulmon Dis 13:1441–1448

    Article  Google Scholar 

  • Gasparri R, Sedda G, Spaggiari L (2018) The electronic nose’s emerging role in respiratory medicine. Sensors (Basel) 18:3029

    Article  Google Scholar 

  • GBD 2016 Causes of Death Collaborators (2017) Global, regional, and national age-sex specific mortality for 264 causes of death, 1980-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet 390:1151–1210

    Article  Google Scholar 

  • Global Initiative for Chronic Obstructive Lung Disease (2018) pocket guide to copd diagnosis, management, and prevention. A guide for health care professionals

  • Kim J, Lee TJ, Kim S, Lee E (2016) The economic burden of chronic obstructive pulmonary disease from 2004 to 2013. J Med Econ 19:103–110

    Article  Google Scholar 

  • Lampesberger H (2016) Technologies for Web and cloud service interaction: a survey. Serv Orient Comput Appl 10:71–110

    Article  Google Scholar 

  • Mas A, Masip J (2014) Noninvasive ventilation in acute respiratory failure. Int J Chron Obstruct Pulmon Dis 9:837–852

    Google Scholar 

  • Nurseitov N, Paulson M, Reynolds R, Izurieta C (2009) Comparison of JSON and XML data interchange formats: a case study. In: Proc. ISCA 22nd Int. Conf. Comput. Appl. Ind. Eng. (CAINE), San Francisco, CA, USA, pp 157–162

  • Polverino F, Celli B (2018) The challenge of controlling the COPD epidemic: unmet needs. Am J Med 131:1–6

    Article  Google Scholar 

  • Radogna AV, Capone S, Di Lauro GA, Fiore N, Francioso L, Casino F, Siciliano P, Sabina S, Sabato E (2018) A smart device for supporting mechanical ventilo-therapy. In: IEEE Proc. of International Conference on IC design and technology, pp 177–180

  • Riaz M, Saghirr A (2007) Monitoring process variability using Gini’s mean difference. Qual Technol Quant Manag 4:439–454

    Article  MathSciNet  Google Scholar 

  • Roberts SW (1959) Control chart tests based on geometric moving averages. Technometrics 1:239–250

    Article  Google Scholar 

  • Shewhart WA (1931) Economic control of quality of manufactured product. D Van Nostrand Company, New York (reprinted by ASQC Quality Press, 1980)

    Google Scholar 

  • Tennant R, Mohammed MA, Coleman JJ, Martin U (2007) Monitoring patients using control charts: a systematic review. Int J Qual Health Care 19:187–194

    Article  Google Scholar 

  • Thaga K, Sivasamy R (2015) Single variables control chart: a further overview. Indian J Sci Technol 8:518–528

    Article  Google Scholar 

  • Wedzicha JA, Seemungal TA (2007) COPD exacerbations: defining their cause and prevention. Lancet 370:786–796

    Article  Google Scholar 

  • Wedzicha JA, Singh R, Mackay AJ (2014) Acute COPD exacerbations. Clin Chest Med 35:157–163

    Article  Google Scholar 

  • WHO (2018) Noncommunicable diseases. http://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases. Accessed 11 Oct 2018

  • Wilson AD (2017) Biomarker metabolite signatures pave the way for electronic-nose applications in early clinical disease diagnose. Curr Metabol 5:90–101

    Google Scholar 

  • Wilson AD, Baietto M (2011) Advances in electronic-nose technologies developed for biomedical applications. Sensors 11:1105–1176

    Article  Google Scholar 

Download references

Acknowledgement

The work was founded by project ReSPIRO (Rete dei Servizi Pneumologici: Integration, Research & Open-innovation - Cluster Tecnologici Regionali, Apulia Region, project cod. F29R1T8).

Author information

Authors and Affiliations

  1. Institute of Microelectronics and Microsystems (CNR-IMM), 73100, Lecce, Italy

    Antonio Vincenzo Radogna & Simonetta Capone

  2. Dedalo Solutions srl, 56037, Peccioli, PI, Italy

    Nicola Fiore

  3. Institute for Research on Population and Social Policies, (CNR-IRPPS), 72100, Brindisi, Italy

    Maria Rosaria Tumolo, Pierpaolo Mincarone & Eugenio Sabato

  4. Institute of Clinical Physiology (CNR-IFC), 73100, Lecce, Italy

    Roberto Guarino, Carlo Giacomo Leo & Saverio Sabina

  5. “A. Perrino” Hospital, Pulmonology Ward, 72100, Brindisi, Italy

    Eugenio Sabato

  6. “U.O.S. Dip. di Pneumologia Territoriale, Cittadella della Salute, ASL Lecce, 73100, Lecce, Italy

    Francesco Satriano

  7. Department of Engineering for Innovation, University of Salento, 73100, Lecce, Italy

    Valerio De Luca & Lucio T. De Paolis

Authors
  1. Antonio Vincenzo Radogna
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Nicola Fiore
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Maria Rosaria Tumolo
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Valerio De Luca
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Lucio T. De Paolis
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Roberto Guarino
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Carlo Giacomo Leo
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Pierpaolo Mincarone
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Eugenio Sabato
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Francesco Satriano
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Simonetta Capone
    View author publications

    You can also search for this author in PubMed Google Scholar

  12. Saverio Sabina
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Antonio Vincenzo Radogna.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Radogna, A.V., Fiore, N., Tumolo, M.R. et al. Exhaled breath monitoring during home ventilo-therapy in COPD patients by a new distributed tele-medicine system. J Ambient Intell Human Comput 12, 4419–4427 (2021). https://doi.org/10.1007/s12652-019-01618-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12652-019-01618-2

Keywords

Search

Navigation