Skip to main content
Log in

Pulse wave transit time for monitoring respiration rate

  • Original Article
  • Published:
Medical and Biological Engineering and Computing Aims and scope Submit manuscript

Abstract

In this study, we investigate the beat-to-beat respiratory fluctuations in pulse wave transit time (PTT) and its subcomponents, the cardiac pre-ejection period (PEP) and the vessel transit time (VTT) in ten healthy subjects. The three transit times were found to fluctuate in pace with respiration. When applying a simple breath detecting algorithm, 88% of the breaths seen in a respiration air-flow reference could be detected correctly in PTT. Corresponding numbers for PEP and VTT were 76 and 81%, respectively. The performance during hypo- and hypertension was investigated by invoking blood pressure changes. In these situations, the error rates in breath detection were significantly higher. PTT can be derived from signals already present in most standard monitoring set-ups. The transit time technology thus has prospects to become an interesting alternative for respiration rate monitoring.

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

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Ahlstrom C, Johansson A, Lanne T, Ask P (2004) A respiration monitor based on ECG and photoplethysmographic sensor fusion. In: Proceeding of 26th Annual International Conference IEEE EMBS, San Francisco

  2. Ahlstrom C, Johansson A, Uhlin F, Lanne T, Ask P (2005) Non-invasive investigation of blood pressure changes using pulse wave transit time—a novel approach in the monitoring of hemodialysis patients. J Artif Organs 8:192–197

    Article  Google Scholar 

  3. Argod J, Pepin JL, Levy P (1998) Differentiating obstructive and central sleep respiratory events through pulse transit time. Am J Respir Crit Care Med 158:1778–1783

    Google Scholar 

  4. Argod J, Pepin JL, Smith RP, Levy P (2000) Comparison of esophageal pressure with pulse transit time as a measure of respiratory effort for scoring obstructive nonapneic respiratory events. Am J Respir Crit Care Med 162:87–93

    Google Scholar 

  5. Chen W, Kobayashi T, Ichikawa S, Takeuchi Y, Togawa T (2000) Continuous estimation of systolic blood pressure using the pulse arrival time and intermittent calibration. Med Biol Eng Comput 38:569–574

    Article  Google Scholar 

  6. El-Asir B, Khadra L, Al-Abbasi AH, Mohammed MMJ (1996) Time–frequency analysis of heart sounds. Proc IEEE Tencon Digit Signal Proc Appl 2:553–558

    Google Scholar 

  7. Franchi D, Bedini R, Manfredini F, Berti S, Palagi G, Ghione S, Ripoli A (1996) Blood pressure evaluation based on arterial pulse wave velocity. Comput Cardiol 9:397–400

    Google Scholar 

  8. Gilbert R, Auchincloss JH, Brodsky J, Boden W (1972) Changes in tidal volume, frequency, and ventilation induced by their measurement. J Appl Physiol 33:252–254

    Google Scholar 

  9. Johansson A (2003) Neural network for photoplethysmographic respiratory rate monitoring. Med Biol Eng Comput 41:242–248

    Article  Google Scholar 

  10. Johansson A, Hok B (2004) Sensors for respiratory monitoring In: Oberg PA, Togawa T, Spelman F (eds) Sensors applications, sensors in medicine and health care, Wiley-VCH, New York

    Google Scholar 

  11. Katz ES, Lutz J, Black C, Marcus CL (2003) Pulse transit time as a measure of arousal and respiratory effort in children with sleep-disordered breathing. Pediatr Res 53:580–588

    Article  Google Scholar 

  12. Lane JD, Greenstadt L, Shapiro D, Rubinstein E (1983) Pulse transit time and blood pressure: an intensive analysis. Psychophysiology 20:45–49

    Article  Google Scholar 

  13. Lantelme P, Mestre C, Lievre M, Gressard A, Milon H (2002) Heart rate: an important confounder of pulse wave velocity assessment. Hypertension 39:1083–1087

    Article  Google Scholar 

  14. Lea S, Ali NJ, Goldman M, Loh L, Fleetham J, Stradling JR (1990) Systolic blood pressure swings reflect inspiratory effort during simulated obstructive sleep apnoea. In: Horne J (ed) Sleep, Pontanagel Press, Bochum, pp 178–181

  15. Marie GV, Lo CR, van Jones J, Johnston DW (1984) The relationship between arterial blood pressure and pulse transit time during dynamic and static exercise. Psychophysiology 21:521–527

    Article  Google Scholar 

  16. Newlin DB (1981) Relationships of pulse transmission times to pre-ejection period and blood pressure. Psychophysiology 18:316–321

    Article  Google Scholar 

  17. Nitzan M, Khanokh B, Slovik Y (2002) The difference in pulse transit time to the toe and finger measured by photoplethysmography. Physiol Meas 23:85–93

    Article  Google Scholar 

  18. Olsen H, Vernersson E, Lanne T (2000) Cardiovascular response to acute hypovolemia in relation to age. Implications for orthostasis and haemorrhage. Am J Physiol 278: H222–H232

    Google Scholar 

  19. Pagani J, Villa MP, Calcagnini G, Alterio A, Ambrosio R, Cenci F, Ronchetti R (2003) Pulse transit time as a measure of inspiratory effort in children. Chest 124:1487–1493

    Article  Google Scholar 

  20. Pepin JL, Delavie N, Pin I, Deschaux C, Argod J, Bost M, Levy P (2005) Pulse transit time improves detection of sleep respiratory events and microarousals in children. Chest 127:722–730

    Article  Google Scholar 

  21. Pitson DJ, Chhina N, Kniijn S, van Herwaaden M, Stradling JR (1995a) Mechanism of pulse transit time lengthening during inspiratory effort. J Ambul Monit 8:101–105

    Google Scholar 

  22. Pitson DJ, Sandell A, van den Hout R, Stradling JR (1995b) Use of pulse transit time as a measure of inspiratory effort in patients with obstructive sleep apnoea. Eur Respir J 8:1669–1674

    Article  Google Scholar 

  23. Pitson DJ, Stradling JR (1998) Value of beat-to-beat blood pressure changes, detected by pulse transit time, in the management of the obstructive sleep apnoea/hypopnoea syndrome. Eur Respir J 12:685–692

    Article  Google Scholar 

  24. Vegfors M, Lindberg LG, Pettersson H, Oberg PA (1994) Presentation and evaluation of a new optical sensor for respiratory rate monitoring. Int J Clin Monit Comput 11:151–156

    Article  Google Scholar 

  25. Wolthuis RA, Bergman SA, Nicogossian AE (1974) Physiological effects of locally applied reduced pressure in man. Physiol Rev 54:566–595

    Google Scholar 

Download references

Acknowledgments

The authors are grateful to Christina Svensson, Bettan Kindberg and Kerstin Nilsson at the Department of Clinical Physiology, Linköping University Hospital, for help and support during the measurements. This study was supported by the Swedish Knowledge Foundation, the Swedish National Centre of Excellence for Non-invasive Medical Measurements (NIMED), the Swedish Research Council (Grants 12661 and 40375701), the Swedish Agency for Innovation Systems (P26084-1) and the Swedish Heart Lung Foundation.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to A. Johansson.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Johansson, A., Ahlstrom, C., Lanne, T. et al. Pulse wave transit time for monitoring respiration rate. Med Bio Eng Comput 44, 471–478 (2006). https://doi.org/10.1007/s11517-006-0064-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11517-006-0064-y

Keywords

Navigation

pFad - Phonifier reborn

Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.

Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.


Alternative Proxies:

Alternative Proxy

pFad Proxy

pFad v3 Proxy

pFad v4 Proxy