Lightweight physiologic sensor performance during pre-hospital care delivered by ambulance clinicians

Alasdair J. Mort, David Fitzpatrick, Philip M. J. Wilson, Chris Mellish, Anne Schneider

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2 Citations (Scopus)
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The aim of this study was to explore the impact of motion generated by ambulance patient management on the performance of two lightweight physiologic sensors. Two physiologic sensors were applied to pre-hospital patients. The first was the Contec Medical Systems CMS50FW finger pulse oximeter, monitoring heart rate (HR) and blood oxygen saturation (SpO2). The second was the RESpeck respiratory rate (RR) sensor, which was wireless-enabled with a Bluetooth® Low Energy protocol. Sensor data were recorded from 16 pre-hospital patients, who were monitored for 21.2 ± 9.8 min, on average. Some form of error was identified on almost every HR and SpO2 trace. However, the mean proportion of each trace exhibiting error was <10 % (range <1–50 % for individual patients). There appeared to be no overt impact of the gross motion associated with road ambulance transit on the incidence of HR or SpO2 error. The RESpeck RR sensor delivered an average of 4.2 (±2.2) validated breaths per minute, but did not produce any validated breaths during the gross motion of ambulance transit as its pre-defined motion threshold was exceeded. However, this was many more data points than could be achieved using traditional manual assessment of RR. Error was identified on a majority of pre-hospital physiologic signals, which emphasised the need to ensure consistent sensor attachment in this unstable and unpredictable environment, and in developing intelligent methods of screening out such error.
Original languageEnglish
Pages (from-to)23-32
Number of pages10
JournalJournal of Clinical Monitoring and Computing
Issue number1
Early online date25 Mar 2015
Publication statusPublished - Feb 2016

Bibliographical note

We would like to extend our thanks to the Scottish Ambulance Service for granting us permission to undertake this research. We would also like to thank the ambulance clinicians who took part, and the patients. We also recognise the non-financial support given to us by the developers of the RESpeck sensor (University of Edinburgh). The research described here was supported by the award made by the RCUK Digital Economy programme to the dot.rural Digital Economy Hub; award reference: EP/G066051/1.


  • Physiologic monitoring
  • pre-hospital
  • ambulance clinicians
  • motion artefact


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