TY - GEN
T1 - Comparison of a custom functional near-infrared spectroscopy sensor, a peripheral SpO2 sensor, and a standard laboratory sensor (biopac) for RR-interval assessment
AU - Bracken, Bethany K.
AU - Amazeen, Polemnia
AU - Likens, Aaron D.
AU - Demir, Mustafa
AU - Gibbons, Cameron T.
N1 - Funding Information:
This material is based upon work supported by the United States Army Medical Research and Materiel Command under Contract No. W81XWH-14-C-0018. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the
Publisher Copyright:
Copyright © 2018 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved
PY - 2018
Y1 - 2018
N2 - Across many careers, individuals face alternating periods of high and low cognitive workload which can impair cognitive function and undermine job performance. We have designed and are developing an unobtrusive system to Monitor, Extract, and Decode Indicators of Cognitive Workload (MEDIC) in real-world environments. With our partners at Biosignals Plux, we designed and manufactured a functional near-infrared spectroscopy (fNIRS) device that measures brain blood oxygenation and cardiac information in a form-factor that can be mounted on the inside of a baseball cap or headband. Because MEDIC is designed to be used in realistic, sometimes high-motion environments, changes in blood oxygenation to the brain must be put in context of current levels of physical activity without intruding on the activity of the user. Therefore, we also developed a NIRS Armband device made up of a combination of Plux sensors including: SpO2 sensor to measure cardiac information, a galvanic skin response sensor, a 6-axis accelerometer, and a non-contact skin temperature sensor. Because these were custom sensors, we tested them against a standard laboratory sensor (a Biopac RSPEC-R) while participants completed an obstacle course of cognitive and physical tasks.
AB - Across many careers, individuals face alternating periods of high and low cognitive workload which can impair cognitive function and undermine job performance. We have designed and are developing an unobtrusive system to Monitor, Extract, and Decode Indicators of Cognitive Workload (MEDIC) in real-world environments. With our partners at Biosignals Plux, we designed and manufactured a functional near-infrared spectroscopy (fNIRS) device that measures brain blood oxygenation and cardiac information in a form-factor that can be mounted on the inside of a baseball cap or headband. Because MEDIC is designed to be used in realistic, sometimes high-motion environments, changes in blood oxygenation to the brain must be put in context of current levels of physical activity without intruding on the activity of the user. Therefore, we also developed a NIRS Armband device made up of a combination of Plux sensors including: SpO2 sensor to measure cardiac information, a galvanic skin response sensor, a 6-axis accelerometer, and a non-contact skin temperature sensor. Because these were custom sensors, we tested them against a standard laboratory sensor (a Biopac RSPEC-R) while participants completed an obstacle course of cognitive and physical tasks.
KW - Cognitive Workload
KW - Functional Near-infrared Spectroscopy (fNIRS)
KW - Real-world Environment Sensors
UR - http://www.scopus.com/inward/record.url?scp=85051730823&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85051730823&partnerID=8YFLogxK
U2 - 10.5220/0006728402810285
DO - 10.5220/0006728402810285
M3 - Conference contribution
AN - SCOPUS:85051730823
T3 - BIOSIGNALS 2018 - 11th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018
SP - 281
EP - 285
BT - BIOSIGNALS 2018 - 11th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018
A2 - Saggio, Giovanni
A2 - Gamboa, Hugo
A2 - Fred, Ana
A2 - Bermudez i Badia, Sergi
PB - SciTePress
T2 - 11th International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2018 - Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018
Y2 - 19 January 2018 through 21 January 2018
ER -