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Published in: Journal of Clinical Monitoring and Computing 1/2015

Open Access 01-02-2015 | Original Research

Pulse oximetry-derived respiratory rate in general care floor patients

Authors: Paul S. Addison, James N. Watson, Michael L. Mestek, James P. Ochs, Alberto A. Uribe, Sergio D. Bergese

Published in: Journal of Clinical Monitoring and Computing | Issue 1/2015

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Abstract

Respiratory rate is recognized as a clinically important parameter for monitoring respiratory status on the general care floor (GCF). Currently, intermittent manual assessment of respiratory rate is the standard of care on the GCF. This technique has several clinically-relevant shortcomings, including the following: (1) it is not a continuous measurement, (2) it is prone to observer error, and (3) it is inefficient for the clinical staff. We report here on an algorithm designed to meet clinical needs by providing respiratory rate through a standard pulse oximeter. Finger photoplethysmograms were collected from a cohort of 63 GCF patients monitored during free breathing over a 25-min period. These were processed using a novel in-house algorithm based on continuous wavelet-transform technology within an infrastructure incorporating confidence-based averaging and logical decision-making processes. The computed oximeter respiratory rates (RRoxi) were compared to an end-tidal CO2 reference rate (RRETCO2). RRETCO2 ranged from a lowest recorded value of 4.7 breaths per minute (brpm) to a highest value of 32.0 brpm. The mean respiratory rate was 16.3 brpm with standard deviation of 4.7 brpm. Excellent agreement was found between RRoxi and RRETCO2, with a mean difference of −0.48 brpm and standard deviation of 1.77 brpm. These data demonstrate that our novel respiratory rate algorithm is a potentially viable method of monitoring respiratory rate in GCF patients. This technology provides the means to facilitate continuous monitoring of respiratory rate, coupled with arterial oxygen saturation and pulse rate, using a single non-invasive sensor in low acuity settings.
Literature
1.
go back to reference Addison PS. The illustrated wavelet transform handbook. New York: Taylor & Francis; 2002.CrossRef Addison PS. The illustrated wavelet transform handbook. New York: Taylor & Francis; 2002.CrossRef
2.
go back to reference Addison PS, Watson JN, Mestek ML, Mecca RS. Developing an algorithm for pulse oximetry derived respiratory rate (RRoxi): a healthy volunteer study. J Clin Monit Comput. 2012;26:45–51.PubMedCentralPubMedCrossRef Addison PS, Watson JN, Mestek ML, Mecca RS. Developing an algorithm for pulse oximetry derived respiratory rate (RRoxi): a healthy volunteer study. J Clin Monit Comput. 2012;26:45–51.PubMedCentralPubMedCrossRef
3.
go back to reference Bowker L, Stewart K. Predicting unsuccessful cardiopulmonary resuscitation (CPR): a comparison of three morbidity scores. Resuscitation. 1999;40:89–95.PubMedCrossRef Bowker L, Stewart K. Predicting unsuccessful cardiopulmonary resuscitation (CPR): a comparison of three morbidity scores. Resuscitation. 1999;40:89–95.PubMedCrossRef
4.
go back to reference Chen J, Hillman K, Bellomo R, Flabouris A, Finfer S, Cretikos M. The impact of introducing medical emergency team system on the documentations of vital signs. Resuscitation. 2009;80:35–43.PubMedCrossRef Chen J, Hillman K, Bellomo R, Flabouris A, Finfer S, Cretikos M. The impact of introducing medical emergency team system on the documentations of vital signs. Resuscitation. 2009;80:35–43.PubMedCrossRef
5.
go back to reference Dahan A, Aarts L, Smith TW. Incidence, reversal, and prevention of opioid-induced respiratory depression. Anesthesiology. 2010;112:226–38.PubMedCrossRef Dahan A, Aarts L, Smith TW. Incidence, reversal, and prevention of opioid-induced respiratory depression. Anesthesiology. 2010;112:226–38.PubMedCrossRef
6.
go back to reference Folke M, Cernerud L, Ekstrom M, Hok B. Critical review of non-invasive respiratory monitoring in medical care. Med Biol Eng Comput. 2003;41:377–83.PubMedCrossRef Folke M, Cernerud L, Ekstrom M, Hok B. Critical review of non-invasive respiratory monitoring in medical care. Med Biol Eng Comput. 2003;41:377–83.PubMedCrossRef
7.
go back to reference Green SM, Pershad J. Should capnographic monitoring be standard practice during emergency department procedural sedation and analgesia? Pro and con. Ann Emerg Med. 2010;55:265–7.PubMedCrossRef Green SM, Pershad J. Should capnographic monitoring be standard practice during emergency department procedural sedation and analgesia? Pro and con. Ann Emerg Med. 2010;55:265–7.PubMedCrossRef
8.
9.
go back to reference Hodgetts TJ, Kenward G, Vlackonikolis I. Incidence, location and reasons for avoidable in-hospital cardiac arrest in a district general hospital. Resuscitation. 2002;54:115–23.PubMedCrossRef Hodgetts TJ, Kenward G, Vlackonikolis I. Incidence, location and reasons for avoidable in-hospital cardiac arrest in a district general hospital. Resuscitation. 2002;54:115–23.PubMedCrossRef
10.
11.
go back to reference Leonard PA, Clifton D, Addison PS, Watson JN, Beattie T. An automated algorithm for determining respiratory rate by photoplethysmogram in children. Acta Paediatr. 2006;95:1124–8.PubMedCrossRef Leonard PA, Clifton D, Addison PS, Watson JN, Beattie T. An automated algorithm for determining respiratory rate by photoplethysmogram in children. Acta Paediatr. 2006;95:1124–8.PubMedCrossRef
12.
go back to reference Leonard PA, Douglas JG, Grubb NR, Clifton D, Addison PS, Watson JN. A fully automated algorithm for the determination of respiratory rate from the photoplethysmogram. J Clin Monit Comput. 2006;20:33–6.PubMedCrossRef Leonard PA, Douglas JG, Grubb NR, Clifton D, Addison PS, Watson JN. A fully automated algorithm for the determination of respiratory rate from the photoplethysmogram. J Clin Monit Comput. 2006;20:33–6.PubMedCrossRef
13.
go back to reference Dash S, Shelley KH, Silverman DG, Chon KH. Estimation of respiratory rate from ECG, photoplethysmogram, and piezoelectric pulse transducer signals: a comparative study of time-frequency methods. IEEE Trans Biomed Eng. 2010;57:1099–107.PubMedCrossRef Dash S, Shelley KH, Silverman DG, Chon KH. Estimation of respiratory rate from ECG, photoplethysmogram, and piezoelectric pulse transducer signals: a comparative study of time-frequency methods. IEEE Trans Biomed Eng. 2010;57:1099–107.PubMedCrossRef
14.
go back to reference Leuvan CH, Mitchell I. Missed opportunities? An observational study of vital sign measurements. Crit Care Resusc. 2008;10:111–5.PubMed Leuvan CH, Mitchell I. Missed opportunities? An observational study of vital sign measurements. Crit Care Resusc. 2008;10:111–5.PubMed
15.
go back to reference Lindberg LG, Ugnell H, Oberg PA. Monitoring of respiratory and heart rates using a fibre-optic sensor. Med Biol Eng Comput. 1992;30:533–7.PubMedCrossRef Lindberg LG, Ugnell H, Oberg PA. Monitoring of respiratory and heart rates using a fibre-optic sensor. Med Biol Eng Comput. 1992;30:533–7.PubMedCrossRef
16.
go back to reference Nilsson L, Johansson A, Kalman S. Macrocirculation is not the sole determinant of respiratory induced variations in the reflection mode photoplethysmographic signal. Physiol Meas. 2003;24:925–37.PubMedCrossRef Nilsson L, Johansson A, Kalman S. Macrocirculation is not the sole determinant of respiratory induced variations in the reflection mode photoplethysmographic signal. Physiol Meas. 2003;24:925–37.PubMedCrossRef
17.
go back to reference Lazaro J, Gil E, Bailon R, Minchole A, Laguna P. Deriving respiration from photoplethysmographic pulse width. Med Biol Eng Comput. 2013;51:233–42.PubMedCrossRef Lazaro J, Gil E, Bailon R, Minchole A, Laguna P. Deriving respiration from photoplethysmographic pulse width. Med Biol Eng Comput. 2013;51:233–42.PubMedCrossRef
18.
go back to reference Karlen W, Raman S, Ansermino JM, Dumont GA. Multiparameter respiratory rate estimation from the photoplethysmogram. IEEE Trans Biomed Eng. 2013;60:1946–53.PubMedCrossRef Karlen W, Raman S, Ansermino JM, Dumont GA. Multiparameter respiratory rate estimation from the photoplethysmogram. IEEE Trans Biomed Eng. 2013;60:1946–53.PubMedCrossRef
19.
go back to reference Pasero C, McCaffery M. Pain assessment and pharmacologic management. St Louis Mo: Elsevier/Mosby; 2011. Pasero C, McCaffery M. Pain assessment and pharmacologic management. St Louis Mo: Elsevier/Mosby; 2011.
20.
go back to reference Schein RM, Hazday N, Pena M, Ruben BH, Sprung CL. Clinical antecedents to in-hospital cardiopulmonary arrest. Chest. 1990;98:1388–92.PubMedCrossRef Schein RM, Hazday N, Pena M, Ruben BH, Sprung CL. Clinical antecedents to in-hospital cardiopulmonary arrest. Chest. 1990;98:1388–92.PubMedCrossRef
21.
go back to reference Chon KH, Dash S, Ju K. Estimation of respiratory rate from photoplethysmogram data using time-frequency spectral estimation. IEEE Trans Biomed Eng. 2009;56:2054–63.PubMedCrossRef Chon KH, Dash S, Ju K. Estimation of respiratory rate from photoplethysmogram data using time-frequency spectral estimation. IEEE Trans Biomed Eng. 2009;56:2054–63.PubMedCrossRef
22.
go back to reference Clifton D, Douglas JG, Addison PS, Watson JN. Measurement of respiratory rate from the photoplethysmogram in chest clinic patients. J Clin Monit Comput. 2007;21:55–61.PubMedCrossRef Clifton D, Douglas JG, Addison PS, Watson JN. Measurement of respiratory rate from the photoplethysmogram in chest clinic patients. J Clin Monit Comput. 2007;21:55–61.PubMedCrossRef
23.
go back to reference Fleming S, Tarassenko L, Thompson M, Mant D. Non-invasive measurement of respiratory rate in children using the photoplethysmogram. Conf Proc IEEE Eng Med Biol Soc. 2008; 1886–1889. Fleming S, Tarassenko L, Thompson M, Mant D. Non-invasive measurement of respiratory rate in children using the photoplethysmogram. Conf Proc IEEE Eng Med Biol Soc. 2008; 1886–1889.
24.
go back to reference Fleming SG, Tarassenko L. A comparison of signal processing techniques for the extraction of breathing rate from the photoplethysmogram. Intern J Biol Med Sci. 2007;2:232–6. Fleming SG, Tarassenko L. A comparison of signal processing techniques for the extraction of breathing rate from the photoplethysmogram. Intern J Biol Med Sci. 2007;2:232–6.
25.
go back to reference Foo JY, Wilson SJ. Estimation of breathing interval from the photoplethysmographic signals in children. Physiol Meas. 2005;26:1049–58.PubMedCrossRef Foo JY, Wilson SJ. Estimation of breathing interval from the photoplethysmographic signals in children. Physiol Meas. 2005;26:1049–58.PubMedCrossRef
26.
go back to reference Johansson A. Neural network for photoplethysmographic respiratory rate monitoring. Med Biol Eng Comput. 2003;41:242–8.PubMedCrossRef Johansson A. Neural network for photoplethysmographic respiratory rate monitoring. Med Biol Eng Comput. 2003;41:242–8.PubMedCrossRef
27.
go back to reference 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;15:461–7.PubMedCrossRef 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;15:461–7.PubMedCrossRef
28.
go back to reference Johnston WS, Mendelson Y. Extracting breathing rate information from a wearable reflectance pulse oximeter sensor. Conf Proc IEEE Eng Med Biol Soc. 2004;7:5388–91.PubMed Johnston WS, Mendelson Y. Extracting breathing rate information from a wearable reflectance pulse oximeter sensor. Conf Proc IEEE Eng Med Biol Soc. 2004;7:5388–91.PubMed
29.
go back to reference Lee J, Chon KH. Respiratory rate extraction via an autoregressive model using the optimal parameter search criterion. Ann Biomed Eng. 2010;38:3218–25.PubMedCrossRef Lee J, Chon KH. Respiratory rate extraction via an autoregressive model using the optimal parameter search criterion. Ann Biomed Eng. 2010;38:3218–25.PubMedCrossRef
30.
go back to reference Leonard P, Grubb NR, Addison PS, Clifton D, Watson JN. An algorithm for the detection of individual breaths from the pulse oximeter waveform. J Clin Monit Comput. 2004;18:309–12.PubMedCrossRef Leonard P, Grubb NR, Addison PS, Clifton D, Watson JN. An algorithm for the detection of individual breaths from the pulse oximeter waveform. J Clin Monit Comput. 2004;18:309–12.PubMedCrossRef
31.
go back to reference Nilsson L, Johansson A, Kalman S. Monitoring of respiratory rate in postoperative care using a new photoplethysmographic technique. J Clin Monit Comput. 2000;16:309–15.PubMedCrossRef Nilsson L, Johansson A, Kalman S. Monitoring of respiratory rate in postoperative care using a new photoplethysmographic technique. J Clin Monit Comput. 2000;16:309–15.PubMedCrossRef
32.
go back to reference Nilsson L, Johansson A, Kalman S. Respiration can be monitored by photoplethysmography with high sensitivity and specificity regardless of anaesthesia and ventilatory mode. Acta Anaesthesiol Scand. 2005;49:1157–62.PubMedCrossRef Nilsson L, Johansson A, Kalman S. Respiration can be monitored by photoplethysmography with high sensitivity and specificity regardless of anaesthesia and ventilatory mode. Acta Anaesthesiol Scand. 2005;49:1157–62.PubMedCrossRef
33.
go back to reference Olsson E, Ugnell H, Oberg PA, Sedin G. Photoplethysmography for simultaneous recording of heart and respiratory rates in newborn infants. Acta Paediatr. 2000;89:853–61.PubMedCrossRef Olsson E, Ugnell H, Oberg PA, Sedin G. Photoplethysmography for simultaneous recording of heart and respiratory rates in newborn infants. Acta Paediatr. 2000;89:853–61.PubMedCrossRef
34.
go back to reference Shelley KH, Awad AA, Stout RG, Silverman DG. The use of joint time frequency analysis to quantify the effect of ventilation on the pulse oximeter waveform. J Clin Monit Comput. 2006;20:81–7.PubMedCrossRef Shelley KH, Awad AA, Stout RG, Silverman DG. The use of joint time frequency analysis to quantify the effect of ventilation on the pulse oximeter waveform. J Clin Monit Comput. 2006;20:81–7.PubMedCrossRef
35.
go back to reference Wertheim D, Olden C, Savage E, Seddon P. Extracting respiratory data from pulse oximeter plethysmogram traces in newborn infants. Arch Dis Child Fetal Neonatal Ed. 2009;94:F301–3.PubMedCrossRef Wertheim D, Olden C, Savage E, Seddon P. Extracting respiratory data from pulse oximeter plethysmogram traces in newborn infants. Arch Dis Child Fetal Neonatal Ed. 2009;94:F301–3.PubMedCrossRef
36.
go back to reference Zhou Y, Zheng Y, Wang C, Yuan J. Extraction of respiratory activity from photoplethysmographic signals based on an independent component analysis technique: Preliminary report. Instrum Sci Technol. 2006;34:537–45.CrossRef Zhou Y, Zheng Y, Wang C, Yuan J. Extraction of respiratory activity from photoplethysmographic signals based on an independent component analysis technique: Preliminary report. Instrum Sci Technol. 2006;34:537–45.CrossRef
37.
go back to reference Alian AA, Shelley KH. Respiratory Physiology and the impact of different modes of ventilation on the photoplethysmographic waveform. 2012;2236–2254. Alian AA, Shelley KH. Respiratory Physiology and the impact of different modes of ventilation on the photoplethysmographic waveform. 2012;2236–2254.
38.
go back to reference Allen J, Frame JR, Murray A. Microvascular blood flow and skin temperature changes in the fingers following a deep inspiratory gasp. Physiol Meas. 2002;23(2):365–73.PubMedCrossRef Allen J, Frame JR, Murray A. Microvascular blood flow and skin temperature changes in the fingers following a deep inspiratory gasp. Physiol Meas. 2002;23(2):365–73.PubMedCrossRef
39.
go back to reference Delerme S, Renault R, Le Mannach Y, Lvovschi V, Bendahou M, Riou B, Ray P. Variations of pulse oximetry plethysmographic waveform amplitude induced by passive leg raising in spontaneously breathing volunteers. Am J Emerg Med. 2007;25:637–42.PubMedCrossRef Delerme S, Renault R, Le Mannach Y, Lvovschi V, Bendahou M, Riou B, Ray P. Variations of pulse oximetry plethysmographic waveform amplitude induced by passive leg raising in spontaneously breathing volunteers. Am J Emerg Med. 2007;25:637–42.PubMedCrossRef
40.
go back to reference Hamunen K, Kontinen V, Hakala E, Talke P, Paloheimo M, Kalso E. Effect of pain on autonomic nervous system indices derived from photoplethysmography in healthy volunteers. Br J Anaesth. 2012;108(5):838–44.PubMedCrossRef Hamunen K, Kontinen V, Hakala E, Talke P, Paloheimo M, Kalso E. Effect of pain on autonomic nervous system indices derived from photoplethysmography in healthy volunteers. Br J Anaesth. 2012;108(5):838–44.PubMedCrossRef
41.
go back to reference Knorr-Chung BR, McGrath SP, Blike GT. Identifying airway obstructions using photoplethysmography (PPG). J Clin Monit Comput. 2008;22(2):95–101.PubMedCrossRef Knorr-Chung BR, McGrath SP, Blike GT. Identifying airway obstructions using photoplethysmography (PPG). J Clin Monit Comput. 2008;22(2):95–101.PubMedCrossRef
42.
go back to reference Reisner A, Shaltis PA, McCombie D, Asada HH. Utility of the photoplethysmogram in circulatory monitoring. Anesthesiology. 2008;108(5):950–8.PubMedCrossRef Reisner A, Shaltis PA, McCombie D, Asada HH. Utility of the photoplethysmogram in circulatory monitoring. Anesthesiology. 2008;108(5):950–8.PubMedCrossRef
43.
go back to reference Selvaraj N, Jaryal AK, Santhosh J, Deepak KK, Anand S. Influence of respiratory rate on the variability of blood volume pulse characteristics. J Med Eng Technol. 2009;33(5):370–5.PubMedCrossRef Selvaraj N, Jaryal AK, Santhosh J, Deepak KK, Anand S. Influence of respiratory rate on the variability of blood volume pulse characteristics. J Med Eng Technol. 2009;33(5):370–5.PubMedCrossRef
44.
go back to reference Shah A, Shelley KH. Is pulse oximetry an essential tool or just another distraction? The role of the pulse oximeter in modern anesthesia care. J Clin Monit Comput. 2013;27:235–42.PubMedCrossRef Shah A, Shelley KH. Is pulse oximetry an essential tool or just another distraction? The role of the pulse oximeter in modern anesthesia care. J Clin Monit Comput. 2013;27:235–42.PubMedCrossRef
45.
go back to reference Shelley KH. Photoplethysmography: beyond the calculation of arterial oxygen saturation and heart rate. Anesth Analg. 2007;105(6 Suppl):S31–6.PubMedCrossRef Shelley KH. Photoplethysmography: beyond the calculation of arterial oxygen saturation and heart rate. Anesth Analg. 2007;105(6 Suppl):S31–6.PubMedCrossRef
46.
go back to reference ECRI Institute. Top 10 Health Technology Hazards For 2014. Adapted from: Health Devices. ECRI Institute, Plymouth Meeting, PA. 2013;42(11). ECRI Institute. Top 10 Health Technology Hazards For 2014. Adapted from: Health Devices. ECRI Institute, Plymouth Meeting, PA. 2013;42(11).
47.
go back to reference Meredith DJ, Clifton D, Charlton P, Brooks J, Pugh CW, Tarassenko L. Photoplethysmographic determination of respiratory rate: a review of current literature. J Med Eng Technol. 2013;36:1–7.CrossRef Meredith DJ, Clifton D, Charlton P, Brooks J, Pugh CW, Tarassenko L. Photoplethysmographic determination of respiratory rate: a review of current literature. J Med Eng Technol. 2013;36:1–7.CrossRef
48.
go back to reference Addison PS, Watson JN. Wavelet-based analysis of pulse oximeter signals. US Patent 7,035,679. 2006. Addison PS, Watson JN. Wavelet-based analysis of pulse oximeter signals. US Patent 7,035,679. 2006.
49.
go back to reference Addison PS, Watson JN, Clifton D. Methods and systems for discriminating bands in scalograms. US Patent 8,077,297. 2011. Addison PS, Watson JN, Clifton D. Methods and systems for discriminating bands in scalograms. US Patent 8,077,297. 2011.
50.
go back to reference Watson JN, Addison PS. Methods and systems for filtering a signal according to a signal model and continuous wavelet transform techniques. US Patent 8,235,911. 2012. Watson JN, Addison PS. Methods and systems for filtering a signal according to a signal model and continuous wavelet transform techniques. US Patent 8,235,911. 2012.
51.
go back to reference Watson JN, Addison PS, Clifton D. Systems and methods for ridge selection in scalograms. US Patent 8,295,567. 2012. Watson JN, Addison PS, Clifton D. Systems and methods for ridge selection in scalograms. US Patent 8,295,567. 2012.
52.
go back to reference Watson JN, Addison PS, Van Slyke BM. Systems and methods for estimating values of a continuous wavelet transform. US Patent 8,346,333. 2013. Watson JN, Addison PS, Van Slyke BM. Systems and methods for estimating values of a continuous wavelet transform. US Patent 8,346,333. 2013.
53.
go back to reference McGonigle S, Addison PS, Ochs J, Watson JN. Systems and methods for determining respiration information from a photoplethysmograph. US Patent Application 20130079606. 2013. McGonigle S, Addison PS, Ochs J, Watson JN. Systems and methods for determining respiration information from a photoplethysmograph. US Patent Application 20130079606. 2013.
54.
go back to reference ISO 80601-2-61:2011. Medical electrical equipment—Part 2-61: particular requirements for basic safety and essential performance of pulse oximeter equipment. International Organization for Standardization, 2011. ISO 80601-2-61:2011. Medical electrical equipment—Part 2-61: particular requirements for basic safety and essential performance of pulse oximeter equipment. International Organization for Standardization, 2011.
55.
go back to reference Mestek ML, Ochs JP, Addison PS, Neitenbach AM, Bergese SD, Kelley SD. Accuracy of continuous non-invasive respiratory rate derived from pulse oximetry in patients with high respiratory rates. Abstracts of papers presented at the, 2013 annual meeting of the society for technology in anesthesia (STA). Anesth Analg Suppl. 2013;2013(117):49. Mestek ML, Ochs JP, Addison PS, Neitenbach AM, Bergese SD, Kelley SD. Accuracy of continuous non-invasive respiratory rate derived from pulse oximetry in patients with high respiratory rates. Abstracts of papers presented at the, 2013 annual meeting of the society for technology in anesthesia (STA). Anesth Analg Suppl. 2013;2013(117):49.
56.
go back to reference Kelley SD, Neitenbach AM, Kinney AR, Mestek ML. Detection of opioid-induced respiratory depression with pulse oximetry derived respiratory rate monitoring. Abstract A095. Am Soc Anesth. 2012;Washington, DC. Kelley SD, Neitenbach AM, Kinney AR, Mestek ML. Detection of opioid-induced respiratory depression with pulse oximetry derived respiratory rate monitoring. Abstract A095. Am Soc Anesth. 2012;Washington, DC.
57.
go back to reference Mestek ML, Addison PS, Watson JN, Neitenbach AM, Ochs JP. Accuracy of continuous non-invasive respiratory rate derived from pulse oximetry during coached breathing. I.A.M.P.O.V. 2012 Symposium, Yale University, New Haven, CT, USA. 29 June–1 July 2012. Mestek ML, Addison PS, Watson JN, Neitenbach AM, Ochs JP. Accuracy of continuous non-invasive respiratory rate derived from pulse oximetry during coached breathing. I.A.M.P.O.V. 2012 Symposium, Yale University, New Haven, CT, USA. 29 June–1 July 2012.
58.
go back to reference Addison PS, Mestek ML, Watson JN, Neitenbach AM, Ochs JP. Continuous respiration rate derived from pulse oximetry during cold-room hypoxia. I.A.M.P.O.V. 2012 Symposium, Yale University, New Haven, CT, USA. 29 June–1 July 2012. Addison PS, Mestek ML, Watson JN, Neitenbach AM, Ochs JP. Continuous respiration rate derived from pulse oximetry during cold-room hypoxia. I.A.M.P.O.V. 2012 Symposium, Yale University, New Haven, CT, USA. 29 June–1 July 2012.
59.
go back to reference Mestek ML, Addison PS, Neitenbach AM, Bergese SD, Kelley SD. Accuracy of continuous non-invasive respiratory rate derived from pulse oximetry in the postanesthesia care unit. Abstract 094, American Soc Anesth, Annual Meeting, October 13–17, 2012; Washington, DC. Mestek ML, Addison PS, Neitenbach AM, Bergese SD, Kelley SD. Accuracy of continuous non-invasive respiratory rate derived from pulse oximetry in the postanesthesia care unit. Abstract 094, American Soc Anesth, Annual Meeting, October 13–17, 2012; Washington, DC.
60.
go back to reference Mestek ML, Addison PS, Kinney AR, Kelley SD. Accuracy of continuous non-invasive respiratory rate derived from pulse oximetry in obese subjects. Abstract A561, American Soc. Anesth., Annual Meeting, October 13–17, 2012; Washington, DC. Mestek ML, Addison PS, Kinney AR, Kelley SD. Accuracy of continuous non-invasive respiratory rate derived from pulse oximetry in obese subjects. Abstract A561, American Soc. Anesth., Annual Meeting, October 13–17, 2012; Washington, DC.
61.
go back to reference Mestek ML, Addison PS, Neitenbach AM, Bergese SD, Kelley SD. Accuracy of continuous noninvasive respiratory rate derived from pulse oximetry in congestive heart failure patients. Chest 2012;142 (4_MeetingAbstracts):113A. Mestek ML, Addison PS, Neitenbach AM, Bergese SD, Kelley SD. Accuracy of continuous noninvasive respiratory rate derived from pulse oximetry in congestive heart failure patients. Chest 2012;142 (4_MeetingAbstracts):113A.
62.
go back to reference Mestek ML, Addison PS, Neitenbach AM, Bergese SD, Kelley SD. Accuracy of continuous noninvasive respiratory rate derived from pulse oximetry in chronic obstructive pulmonary disease patients. Chest 2012;142 (4_MeetingAbstracts): 671A. Mestek ML, Addison PS, Neitenbach AM, Bergese SD, Kelley SD. Accuracy of continuous noninvasive respiratory rate derived from pulse oximetry in chronic obstructive pulmonary disease patients. Chest 2012;142 (4_MeetingAbstracts): 671A.
Metadata
Title
Pulse oximetry-derived respiratory rate in general care floor patients
Authors
Paul S. Addison
James N. Watson
Michael L. Mestek
James P. Ochs
Alberto A. Uribe
Sergio D. Bergese
Publication date
01-02-2015
Publisher
Springer Netherlands
Published in
Journal of Clinical Monitoring and Computing / Issue 1/2015
Print ISSN: 1387-1307
Electronic ISSN: 1573-2614
DOI
https://doi.org/10.1007/s10877-014-9575-5

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