Evidence map›Paper›PMID 25804608›Full record

ArticleJournal of clinical monitoring and computing2016

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

Abstract read
In one paragraph

Article in Journal of clinical monitoring and computing, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Alasdair J Mortdot.rural Digital Economy Hub, King's College, University of Aberdeen, Aberdeen, Scotland, UK. a.mort@abdn.ac.uk.
David FitzpatrickScottish Ambulance Service, Gyle Square, Edinburgh, Scotland, UK.
Philip M J Wilsondot.rural Digital Economy Hub, King's College, University of Aberdeen, Aberdeen, Scotland, UK.
Chris Mellishdot.rural Digital Economy Hub, King's College, University of Aberdeen, Aberdeen, Scotland, UK.
Anne Schneiderdot.rural Digital Economy Hub, King's College, University of Aberdeen, Aberdeen, Scotland, UK.

Funding

Chief Scientist Office NMAHP1
6 · The paper itself

Abstract

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.

Indexed as

AmbulancesRespiratory RateAccelerometryAdultAgedAged, 80 and overElectrocardiographyEmergency Medical ServicesEquipment DesignEquipment Failure AnalysisHumansMaleMiddle AgedMiniaturizationMonitoring, AmbulatoryMotionAmbulance cliniciansMotion artefactPhysiologic monitoringPre-hospital

Identifiers

PMID25804608
PMCPMC4744257

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.