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

doi:10.1007/s10877-015-9673-z

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

Section of General Practice

2 Citations (Scopus)

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.

Original language	English
Journal	Journal of Clinical Monitoring and Computing
Volume	30
Issue number	1
Pages (from-to)	23-32
Number of pages	10
ISSN	1387-1307
DOIs	https://doi.org/10.1007/s10877-015-9673-z
Publication status	Published - 1 Feb 2016

Keywords

Accelerometry/instrumentation
Adult
Aged
Aged, 80 and over
Ambulances
Electrocardiography/instrumentation
Emergency Medical Services
Equipment Design
Equipment Failure Analysis
Humans
Male
Middle Aged
Miniaturization
Monitoring, Ambulatory/instrumentation
Motion
Oximetry/instrumentation
Reproducibility of Results
Respiratory Function Tests/instrumentation
Respiratory Rate
Sensitivity and Specificity
Transducers
Wireless Technology/instrumentation

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title = "Lightweight physiologic sensor performance during pre-hospital care delivered by ambulance clinicians",

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{\textregistered} 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.",

keywords = "Accelerometry/instrumentation, Adult, Aged, Aged, 80 and over, Ambulances, Electrocardiography/instrumentation, Emergency Medical Services, Equipment Design, Equipment Failure Analysis, Humans, Male, Middle Aged, Miniaturization, Monitoring, Ambulatory/instrumentation, Motion, Oximetry/instrumentation, Reproducibility of Results, Respiratory Function Tests/instrumentation, Respiratory Rate, Sensitivity and Specificity, Transducers, Wireless Technology/instrumentation",

author = "Mort, {Alasdair J} and David Fitzpatrick and Wilson, {Philip M J} and Chris Mellish and Anne Schneider",

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AU - Fitzpatrick, David

AU - Wilson, Philip M J

AU - Mellish, Chris

AU - Schneider, Anne

PY - 2016/2/1

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N2 - 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.

AB - 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.

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KW - Adult

KW - Aged

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KW - Equipment Failure Analysis

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KW - Male

KW - Middle Aged

KW - Miniaturization

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KW - Motion

KW - Oximetry/instrumentation

KW - Reproducibility of Results

KW - Respiratory Function Tests/instrumentation

KW - Respiratory Rate

KW - Sensitivity and Specificity

KW - Transducers

KW - Wireless Technology/instrumentation

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DO - 10.1007/s10877-015-9673-z

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VL - 30

SP - 23

EP - 32

JO - Journal of Clinical Monitoring and Computing

JF - Journal of Clinical Monitoring and Computing

IS - 1

ER -

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

Abstract

Keywords

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