Abstract
Objectives. To determine if wavelet analysis techniques can be used to reliably identify individual breaths from the photoplethysmogram (PPG). Methods. Photoplethysmograms were obtained from 22 healthy adult volunteers timing their respiration rate in synchronisation with a metronome. A secondary timing signal was obtained by asking the volunteers to actuate a small push button switch, held in their right hand, in synchronisation with their respiration. Each PPG was analyzed using primary wavelet decomposition and two new, related, secondary decompositions to determine the accuracy of individual breath detection. Results. The optimal breath capture was obtained by manually polling the three techniques, allowing detection of 466 out of the 472 breaths studied; a detection rate of 98.7% with no false positive breaths detected. Conclusion. Our technique allows the accurate capture of individual breaths from the photoplethysmogram, and leads the way for developing a simple non-invasive combined respiration and saturation monitor.
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References
Trafford J, Lafferty K. What does the photoplethysmograph measure? Med Biol Eng Comput 1984; 22: 479–480.
Moyle JT. Pulse oximetry. London: BMJ Publishing Group, 1994.
Ugnell H. Photoplethysmographic heart and respiratory monitoring: Instrument designa and evaluation. Linkoping Studies in Science and Technology Dissertations No. 386, Department of Biomedical Engineering, Linkoping University, Linkoping, Sweden, 1995.
Johansson A, Oberg PA, Sedin G. Monitoring of heart and respiratory rates in newborn infants using a new photoplethysmographic technique. J Clin Monit Comput 1999; 15: 461–467.
Lindberg L-G, Ugnell H, Oberg PA. Monitoring of respiratory and heart rates using a fibre-optic sensor. Med Biol Eng Comput 1992; 30: 533–537.
Leonard P, Beattie TF, Addison PS, et al. Standard pulse oximeters can be used to monitor respiratory rate. Emerg Med J 2003; 20: 524–525.
Addison PS, Watson JN. Secondary wavelet feature decoupling (SWFD) and its use in detecting patient respiration from the photoplethysmogram. 25th Annual International Conference of the IEEE Engineering in medicine and Biology Society, Cancun, Mexico, 17–21 September 2003.
Addison PS, Watson JN. Secondary transform decoupling of shifted nonstationary signal modulation components: Application to photoplethysmography. International Journal of Wavelets, Multiresolution and Information Processing, 2004. (In print.)
Addison PS. The Illustrated wavelet transform handbook, Institute of Physics Publishing, Bristol; 2002.
Nilsson L, Johansson A, Kalman S. Monitoring of respiratory rate in postoperative care using a new photoplethysmographic technique. J Clin Monit Comput 2000; 16: 309–315.
Addison PS, Watson JN, Clegg GR, et al. Finding Coordinated atrial activity during ventricular fibrillation using wavelet decomposition. IEEE Eng Med Biol Mag 2002; 21: 58–65.
Watson JN, Addison PS, Clegg GR, et al. Evaluation of arrhythmic ECG signals using a novel wavelet transform method. Resuscitation 2000; 43(2): 121–127.
Watson JN, Addison PS, Grubb N, Clesgg G, Robertson C, Fox KAA. Wavelet-based filtering for the clinical evaluation of atrial fibrillation. 29th Annual International Conference of the IEEE Engineering in medicine and Biology Society, Istanbul, Turkey; 25–28 October, 2001.
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Leonard, P., Grubb, N.R., Addison, P.S. et al. An Algorithm for the Detection of Individual Breaths from the Pulse Oximeter Waveform. J Clin Monit Comput 18, 309–312 (2004). https://doi.org/10.1007/s10877-005-2697-z
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DOI: https://doi.org/10.1007/s10877-005-2697-z