Pulse oximetry-derived respiratory rate in general care floor patients
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| 001 | 60550962X | ||
| 003 | CHVBK | ||
| 005 | 20210128100642.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 210128e20150201xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s10877-014-9575-5 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s10877-014-9575-5 | ||
| 245 | 0 | 0 | |a Pulse oximetry-derived respiratory rate in general care floor patients |h [Elektronische Daten] |c [Paul Addison, James Watson, Michael Mestek, James Ochs, Alberto Uribe, Sergio Bergese] |
| 520 | 3 | |a 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. | |
| 540 | |a The Author(s), 2014 | ||
| 690 | 7 | |a Respiratory rate |2 nationallicence | |
| 690 | 7 | |a Pulse oximeter |2 nationallicence | |
| 690 | 7 | |a Continuous monitoring |2 nationallicence | |
| 690 | 7 | |a Low acuity monitoring |2 nationallicence | |
| 700 | 1 | |a Addison |D Paul |u Covidien Respiratory and Monitoring Solutions, Edinburgh, Scotland, UK |4 aut | |
| 700 | 1 | |a Watson |D James |u Covidien Respiratory and Monitoring Solutions, Edinburgh, Scotland, UK |4 aut | |
| 700 | 1 | |a Mestek |D Michael |u Covidien Respiratory and Monitoring Solutions, Boulder, CO, USA |4 aut | |
| 700 | 1 | |a Ochs |D James |u Covidien Respiratory and Monitoring Solutions, Boulder, CO, USA |4 aut | |
| 700 | 1 | |a Uribe |D Alberto |u Department of Anesthesiology, The Ohio State University Wexner Medical Center, Columbus, OH, USA |4 aut | |
| 700 | 1 | |a Bergese |D Sergio |u Departments of Anesthesiology and Neurological Surgery, The Ohio State University Medical Center, Columbus, OH, USA |4 aut | |
| 773 | 0 | |t Journal of Clinical Monitoring and Computing |d Springer Netherlands |g 29/1(2015-02-01), 113-120 |x 1387-1307 |q 29:1<113 |1 2015 |2 29 |o 10877 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s10877-014-9575-5 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s10877-014-9575-5 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Addison |D Paul |u Covidien Respiratory and Monitoring Solutions, Edinburgh, Scotland, UK |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Watson |D James |u Covidien Respiratory and Monitoring Solutions, Edinburgh, Scotland, UK |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Mestek |D Michael |u Covidien Respiratory and Monitoring Solutions, Boulder, CO, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Ochs |D James |u Covidien Respiratory and Monitoring Solutions, Boulder, CO, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Uribe |D Alberto |u Department of Anesthesiology, The Ohio State University Wexner Medical Center, Columbus, OH, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Bergese |D Sergio |u Departments of Anesthesiology and Neurological Surgery, The Ohio State University Medical Center, Columbus, OH, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Journal of Clinical Monitoring and Computing |d Springer Netherlands |g 29/1(2015-02-01), 113-120 |x 1387-1307 |q 29:1<113 |1 2015 |2 29 |o 10877 | ||