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- Almojuela, A, et al.
(författare)
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The Full Outline of UnResponsiveness (FOUR) Score and Its Use in Outcome Prediction: A Scoping Review of the Pediatric Literature
- 2019
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Ingår i: Journal of child neurology. - : SAGE Publications. - 1708-8283 .- 0883-0738. ; 34:4, s. 189-198
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Tidskriftsartikel (refereegranskat)abstract
- The Full Outline of UnResponsiveness (FOUR) score is a neurologic assessment score. Its benefit over pre-existing scores is its evaluation of brainstem reflexes and respiratory pattern. Our goal was to perform a scoping systematic review of the literature on the application of the FOUR score within pediatric patients. Six databases were searched and 2 reviewers independently screened the results. The initial search yielded 1709 citations; ultimately, 6 studies composed of 571 pediatric patients were used. Four studies examined interobserver reliability of the FOUR score and found it to be good to excellent. All 6 studies demonstrated equivalency of the FOUR score and Glasgow Coma Scale (GCS) in predicting outcome. The existing literature suggests the FOUR score is equivalent to GCS in outcome prediction in pediatric patients; its true superiority over the GCS has not yet been established. It displays good to excellent inter-rater reliability among physicians and nurses.
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- Tu, Wei, et al.
(författare)
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A Survey on Mobile Sensing Based Mood-Fatigue Detection for Drivers
- 2016
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Ingår i: SMART CITY 360. - Cham : SPRINGER INT PUBLISHING AG. - 9783319336817 - 9783319336800 ; , s. 3-15
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Konferensbidrag (refereegranskat)abstract
- The rapid development of the Internet of Things (IoT) has provided innovative solutions to reduce traffic accidents caused by fatigue driving. When drivers are in bad mood or tired, their vigilance level decreases, which may prolong the reaction time to emergency situation and lead to serious accidents. With the help of mobile sensing and mood-fatigue detection, drivers' moodfatigue status can be detected while driving, and then appropriate measures can be taken to eliminate the fatigue or negative mood to increase the level of vigilance. This paper presents the basic concepts and current solutions of moodfatigue detection and some common solutions like mobile sensing and cloud computing techniques. After that, we introduce some emerging platforms which designed to promote safe driving. Finally, we summarize the major challenges in mood-fatigue detection of drivers, and outline the future research directions.
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