TY - JOUR
T1 - Lightweight physiologic sensor performance during pre-hospital care delivered by ambulance clinicians
AU - Mort, Alasdair J
AU - Fitzpatrick, David
AU - Wilson, Philip M J
AU - Mellish, Chris
AU - Schneider, Anne
PY - 2016/2/1
Y1 - 2016/2/1
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.
KW - Accelerometry/instrumentation
KW - Adult
KW - Aged
KW - Aged, 80 and over
KW - Ambulances
KW - Electrocardiography/instrumentation
KW - Emergency Medical Services
KW - Equipment Design
KW - Equipment Failure Analysis
KW - Humans
KW - Male
KW - Middle Aged
KW - Miniaturization
KW - Monitoring, Ambulatory/instrumentation
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
U2 - 10.1007/s10877-015-9673-z
DO - 10.1007/s10877-015-9673-z
M3 - Journal article
C2 - 25804608
SN - 1387-1307
VL - 30
SP - 23
EP - 32
JO - Journal of Clinical Monitoring and Computing
JF - Journal of Clinical Monitoring and Computing
IS - 1
ER -