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Effects of Sleep Quality, Acute Sleep Deprivation, and Napping on Facial Emotion Recognition Accuracy and Speed.
Nat Sci Sleep
October 2024
Faculty of Psychology, Naval Medical University, Shanghai, People's Republic of China.
Article Synopsis
- The study aimed to explore the impact of sleep quality, sleep deprivation, and napping on how accurately and quickly people can recognize emotions from facial expressions.
- In two phases, researchers assessed 102 participants' facial emotion recognition (FER) abilities in relation to their sleep patterns, with 26 participants specifically undergoing napping interventions.
- Results indicated that poorer sleep was associated with better recognition of sad expressions, while a 30-hour sleep deprivation didn't significantly alter overall accuracy, although napping improved detection of certain facial expressions after deprivation.
An optimized framework for processing multicentric polysomnographic data incorporating expert human oversight.
Front Neuroinform
May 2024
Department of Computer Science, Reykjavik University, Reykjavik, Iceland.
Introduction: Polysomnographic recordings are essential for diagnosing many sleep disorders, yet their detailed analysis presents considerable challenges. With the rise of machine learning methodologies, researchers have created various algorithms to automatically score and extract clinically relevant features from polysomnography, but less research has been devoted to how exactly the algorithms should be incorporated into the workflow of sleep technologists. This paper presents a sophisticated data collection platform developed under the Sleep Revolution project, to harness polysomnographic data from multiple European centers.
View Article and Find Full Text PDFA Data-Driven Framework for Clinical Decision Support Systems in Positive Airway Pressure and Oxygen Titration.
J Clin Med
January 2024
Institute of Applied Computer Systems, Riga Technical University, LV-1046 Riga, Latvia.
Background: Current obstructive sleep apnea treatment relies on manual PAP titration, but it has limitations. Complex interactions during titration and variations in SpO data accuracy pose challenges. Patients with co-occurring chronic hypercapnia may require precise oxygen titration.
View Article and Find Full Text PDFEvaluating Accuracy in Five Commercial Sleep-Tracking Devices Compared to Research-Grade Actigraphy and Polysomnography.
Sensors (Basel)
January 2024
Neuroscience & Behavior Program, French Hall, University of Massachusetts Amherst, 230 Stockbridge Road, Amherst, MA 01003, USA.
The development of consumer sleep-tracking technologies has outpaced the scientific evaluation of their accuracy. In this study, five consumer sleep-tracking devices, research-grade actigraphy, and polysomnography were used simultaneously to monitor the overnight sleep of fifty-three young adults in the lab for one night. Biases and limits of agreement were assessed to determine how sleep stage estimates for each device and research-grade actigraphy differed from polysomnography-derived measures.
View Article and Find Full Text PDFEstimating sleep duration: performance of open-source processing of actigraphy compared to in-laboratory polysomnography in the community.
Sleep Adv
July 2023
Centre for Sleep Science, School of Human Sciences, University of Western Australia, Perth, WA, Australia.
Comparisons of actigraphy findings between studies are challenging given differences between brand-specific algorithms. This issue may be minimized by using open-source algorithms. However, the accuracy of actigraphy-derived sleep parameters processed in open-source software needs to be assessed against polysomnography (PSG).
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