Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Continuous Postoperative Respiratory Monitoring with Calibrated Respiratory Effort Belts: Pilot Study

  • Conference paper
  • First Online:
Biomedical Engineering Systems and Technologies (BIOSTEC 2016)

Abstract

Postoperative respiratory complications are common in patients after surgery. Respiratory depression and subsequent adverse outcomes can arise from pain, residual effects of drugs given during anaesthesia and administration of opioids for pain management. There is an urgent need for a continuous, real-time and non-invasive respiratory monitoring of spontaneously breathing postoperative patients. For this purpose, we used rib cage and abdominal respiratory effort belts for the respiratory monitoring pre- and postoperatively, with a new calibration method that enables accurate estimates of the respiratory airflow waveforms even when breathing style changes. Five patients were measured with respiratory effort belts and mask spirometer. Preoperative measurements were done in the operating room, whereas postoperative measurements were done in the recovery room. We compared five calibration models with pre- and postoperative training data. The postoperative calibration approach with two respiratory effort belts produced the most accurate respiratory airflow waveforms and tidal volume, minute volume and respiratory rate estimates. Average results for the best model were: coefficient of determination R2 was 0.91, tidal volume error 5.8%, minute volume error 8.5% and BPM (Breaths per Minute) error 0.21. The method performed well even in the following challenging respiratory cases: low airflows, thoracoabdominal asynchrony and hypopneic events. It was shown that a single belt measurement can be sufficient in some cases. The proposed method is able to produce estimates of postoperative respiratory airflow waveforms to enable accurate, continuous, real-time and non-invasive respiratory monitoring postoperatively. It provides also potential to optimize postoperative pain management and enables timely interventions.

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

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Cepeda, M.S., Farrar, J.T., Baumgarten, M., Boston, R., Carr, D.B., Strom, B.L.: Side effects of opioids during short-term administration: effect of age, gender, and race. Clin. Pharmacol. Ther. 74(2), 102–112 (2003)

    Article  Google Scholar 

  2. Etches, R.: Respiratory depression associated with patient-controlled analgesia: a review of eight cases. Can. J. Anaesth. 41(2), 125–132 (1994)

    Article  Google Scholar 

  3. Gamil, M., Fanning, A.: The first 24 hours after surgery. A study of complications after 2153 consecutive operations. Anaesthesia 46, 712–715 (1991)

    Article  Google Scholar 

  4. Taylor, S., Kirton, O.C., Staff, I., Kozol, R.A.: Postroperative day one: a high risk period for respiratory events. Am. J. Surg. 190(5), 752–756 (2005)

    Article  Google Scholar 

  5. Ramsay, M.A.E., Usman, M., Lagow, E., Mendoza, M., Untalan, E., De Vol, E.: The accuracy, precision and reliability of measuring ventilatory rate and detecting ventilatory pause by rainbow acoustic monitoring and capnometry. Anesth. Analg. 117(1), 69–75 (2013)

    Article  Google Scholar 

  6. Mailey, J., Digiovine, B., Baillod, D., Gnam, G., Jordan, J., Rubinfeld, I.: Reducing hospital standardized mortality rate with early interventions. J. Trauma Nurs. 13(4), 178–182 (2006)

    Article  Google Scholar 

  7. Schein, R.M.H., Hazday, N., Pena, M., Ruben, B.H., Sprung, C.L.: Clinical antecedents to in-hospital cardiopulmonary arrest. Chest 98(6), 1388–1392 (1990)

    Article  Google Scholar 

  8. George, J.A., Lin, E.E., Hanna, M.N., Murphy, J.D., Kumar, K., Ko, P.S., Wu, C.L.: The effect of intravenous opioid patient-controlled analgesia with and without background infusion on respiratory depression: a meta-analysis. J. Opioid Manag. 6(1), 47–54 (2010)

    Article  Google Scholar 

  9. Lynn, L.A., Curry, J.P.: Patterns of unexpected in-hospital deaths: a root cause analysis. Patient Saf. Surg. 5, 3 (2011)

    Article  Google Scholar 

  10. Paine, C.W., Goel, V.V., Ely, E., Stave, C.D., Stemler, S., Zander, M., Bonafide, C.P.: Systematic review of physiologic monitor alarm characteristics and pragmatic interventions to reduce alarm frequency. J. Hosp. Med. 11(2), 136–144 (2016)

    Article  Google Scholar 

  11. Wiklund, L., Hök, B., Ståhl, K., Jordeby-Jönsson, A.: Postanesthesia monitoring revisited: frequency of true and false alarms from different monitoring devices. J. Clin. Anesth. 6(3), 182–188 (1994)

    Article  Google Scholar 

  12. Lovett, P.B., Buchwald, J.M., Sturmann, K., Bijur, P.: The vexatious vital: neither clinical measurements by nurses nor an electronic monitor provides accurate measurements of respiratory rate in triage. Ann. Emerg. Med. 45(1), 68–76 (2005)

    Article  Google Scholar 

  13. Drummond, G.B., Bates, A., Mann, J., Arvind, D.K.: Characterization of breathing patterns during patient-controlled opioid analgesia. Br. J. Anaesth. 111(6), 971–978 (2013)

    Article  Google Scholar 

  14. Voscopoulos, C.J., MacNabb, C.M., Brayanov, J., Qin, L., Freeman, J., Mullen, G.J., Ladd, D., George, E.: The evaluation of a non-invasive respiratory volume monitor in surgical patients undergoing elective surgery with general anesthesia. J. Clin. Monit. Comput. 29(2), 223–230 (2015)

    Article  Google Scholar 

  15. Voscopoulos, C., Ladd, D., Campana, L., George, E.: Non-invasive respiratory volume monitoring to detect apnea in post-operative patients: case series. J. Clin. Med. Res. 6(3), 209–214 (2014)

    Google Scholar 

  16. Voscopoulos, C.J., MacNabb, C.M., Freeman, J., Galvagno, S.M., Ladd, D., George, E.: Continuous noninvasive respiratory volume monitoring for the identification of patients at risk for opioid-induced respiratory depression and obstructive breathing patterns. J. Trauma Acute Care Surg. 77(3), S208–S215 (2014)

    Article  Google Scholar 

  17. Masa, J.F., Corral, J., Martin, M.J., Riesco, J.A., Sojo, A., Hernández, M., Douglas, N.J.: Assessment of thoracoabdominal bands to detect respiratory effort-related arousal. Eur. Respir. J. 22, 661–667 (2003)

    Article  Google Scholar 

  18. Seppänen, T.M., Alho, O.-P., Seppänen, T.: Reducing the airflow waveform distortions from breathing style and body position with improved calibration of respiratory effort belts. Biomed. Eng. Online 12, 97 (2013)

    Article  Google Scholar 

  19. Montgomery, D.C., Peck, E.A., Vining, G.G.: Introduction to Linear Regression Analysis, 3rd edn. Wiley, New York (2001)

    MATH  Google Scholar 

  20. Verschakelen, J.A., Demedts, M.G.: Normal thoracoabdominal motions. influence of sex, age, posture, and breath size. Am. J. Respir. Crit. Care Med. 151(2), 399–405 (1995)

    Article  Google Scholar 

  21. Konno, K., Mead, J.: Measurement of separate volume changes of rib cage and abdomen during breathing. J. Appl. Physiol. 22(3), 407–422 (1967)

    Google Scholar 

  22. Voscopoulos, C., Brayanov, J., Ladd, D., Lalli, M., Panasyuk, A., Freeman, J.: Evaluation of a novel noninvasive respiration monitor providing continuous measurement of minute ventilation in ambulatory subjects in a variety of clinical scenarios. Anesth. Analg. 117(1), 91–100 (2013)

    Article  Google Scholar 

Download references

Acknowledgements

Finnish Cultural Foundation, North Ostrobothnia Regional Fund and International Doctoral Programme in Biomedical Engineering and Medical Physics (iBioMEP) are gratefully acknowledged for financial support.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tiina M. Seppänen .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Seppänen, T.M., Alho, OP., Vakkala, M., Alahuhta, S., Seppänen, T. (2017). Continuous Postoperative Respiratory Monitoring with Calibrated Respiratory Effort Belts: Pilot Study. In: Fred, A., Gamboa, H. (eds) Biomedical Engineering Systems and Technologies. BIOSTEC 2016. Communications in Computer and Information Science, vol 690. Springer, Cham. https://doi.org/10.1007/978-3-319-54717-6_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-54717-6_19

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-54716-9

  • Online ISBN: 978-3-319-54717-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics