Paper Info
Title
The Implementation Of An Apnea-Based Perinatal Stress Calculator
Abstract
Early life stress in the neonatal intensive care unit (NICU) predisposes premature infants to adverse health outcomes. Although those patients experience frequent apneas and sleep-wake disturbances during their hospital stay, clinicians still rely on clinical scales to assess pain and stress burden. This study addresses the relationship between stress and apneic spells in NICU patients to implement an automatic stress detector. EEG, ECG and SpO(2) were recorded from 40 patients for at least 3 hours and the stress burden was assessed using the Leuven Pain Scale. Different logistic regression models were designed to detect the presence or the absence of stress based on the signals reactivity to each apneic spell. The classification shows that stress can be detected with an area under the curve of 0.94 and a misclassification error of 19.23%. These results were obtained via SPO2 dips and EEG regularity. These findings suggest that stress deepens the physiological reaction to apneas, which could ultimately impact the neurological and behavioral development.
Year
DOI
Venue
2019
10.1109/EMBC.2019.8856955
2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
Field
DocType
Volume
Computer vision,Neonatal intensive care unit,Apneic spells,Emergency medicine,Heart rate variability,Computer science,Apnea,Artificial intelligence,Pain scale,Logistic regression,Electroencephalography
Conference
2019
ISSN
Citations 
PageRank 
1557-170X
0
0.34
References 
Authors
0
11
Name
Order
Citations
PageRank
Mario Lavanga132.23
Ofelie De Wel232.23
Alexander Caicedo300.34
Margot Deviaene402.03
Jonathan Moeyersons512.04
Carolina Varon69222.90
Bieke Bollen700.34
Katrien Jansen8207.25
Els Ortibus900.34
Gunnar Naulaers10187.52
Sabine Van Huffel111058149.38