TY - GEN
T1 - Performance characterisation of wearable cardiac monitoring devices for aerospace applications
AU - Pongsakornsathien, Nichakorn
AU - Gardi, Alessandro
AU - Lim, Yixiang
AU - Sabatini, Roberto
AU - Kistan, Trevor
AU - Ezer, Neta
N1 - Funding Information:
The authors wish to thank and acknowledge THALES ATM Australia, the and Northrop Grumman Corporation for separately supporting different aspects of this work under the collaborative research projects RE-02544-0200315666 and RE-03163-0200317164 respectively.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - A growing number of aerospace human-machine system applications require real-time physiological monitoring of the human operator. These real-time measurements allow the system to estimate the operator's cognitive states, which can drive the level of automation support. This concept is adopted in our Cognitive Human-Machine Interfaces and Interactions (CHMI2) framework. Accurate and reliable measurements from the physiological sensors are essential for the CHMI2 concept to work. The Heart Rate (HR) is one of the most commonly monitored physiological variables in aerospace applications. In this paper, we evaluate the suitability of a common wearable cardiac monitoring device to carry out real time HR measurements. The validity is evaluated by comparing the processed measurements from the wearable device to a clinical validated device. Contrary to most studies which only target physical activity for such characterisation, we investigate a terminal manoeuvring area traffic management activity, which is a very challenging aerospace task involving a significant number of time-critical human-machine interactions where high levels of cognitive workload are experienced. The results from the presented characterisation support the suitability of the cardiac monitoring sensor for the intended CHMI2 system application.
AB - A growing number of aerospace human-machine system applications require real-time physiological monitoring of the human operator. These real-time measurements allow the system to estimate the operator's cognitive states, which can drive the level of automation support. This concept is adopted in our Cognitive Human-Machine Interfaces and Interactions (CHMI2) framework. Accurate and reliable measurements from the physiological sensors are essential for the CHMI2 concept to work. The Heart Rate (HR) is one of the most commonly monitored physiological variables in aerospace applications. In this paper, we evaluate the suitability of a common wearable cardiac monitoring device to carry out real time HR measurements. The validity is evaluated by comparing the processed measurements from the wearable device to a clinical validated device. Contrary to most studies which only target physical activity for such characterisation, we investigate a terminal manoeuvring area traffic management activity, which is a very challenging aerospace task involving a significant number of time-critical human-machine interactions where high levels of cognitive workload are experienced. The results from the presented characterisation support the suitability of the cardiac monitoring sensor for the intended CHMI2 system application.
KW - Air Traffic Management
KW - Cardiac monitoring
KW - Cognitive Workload
KW - Experimental Characterization
KW - Human-Machine Interface
KW - Human-Machine System
UR - http://www.scopus.com/inward/record.url?scp=85074397730&partnerID=8YFLogxK
U2 - 10.1109/MetroAeroSpace.2019.8869556
DO - 10.1109/MetroAeroSpace.2019.8869556
M3 - Conference contribution
AN - SCOPUS:85074397730
T3 - 2019 IEEE International Workshop on Metrology for AeroSpace, MetroAeroSpace 2019 - Proceedings
SP - 76
EP - 81
BT - 2019 IEEE International Workshop on Metrology for AeroSpace, MetroAeroSpace 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IEEE International Workshop on Metrology for AeroSpace, MetroAeroSpace 2019
Y2 - 19 June 2019 through 21 June 2019
ER -