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AI analysis of "Pokemon Sleep" data identifies problematic sleep patterns

TOKYO - A leading Japanese sleep researcher has analyzed the relationship between sleep and work performance using data ...
IEEE

Exploring Affective Peripheral Patterns Based on Body Surface Potentials With Covariance

Abstract: Affective patterns based on physiological signals reflect bodily changes linked to specific emotional states. Previous studies on the cardiac electrical signal, a key peripheral ...
The Lancet

Sleep health in China: status, challenges, and promotion strategies

aInstitute of Mental Health, Peking University Sixth Hospital and National Clinical Research Center for Mental Disorders, Peking University, Beijing, China bInstitute of Brain Science and ...
IEEE

Sleep Staging Algorithm Incorporating Multi-threhold Neighborhood Polar Pattern Statistics

Abstract: Sleep plays a vital role in human life, and its quality has a direct impact on overall health. Sleep staging is a crucial process and a key indicator used to evaluate sleep quality. This ...
Frontiers

Brain activation patterns of figurative language comprehension in individuals with autism spectrum disorder: an activation likelihood estimation meta-analysis

Background: Individuals with Autism Spectrum Disorder (ASD) consistently exhibit difficulties in comprehending figurative language. While prior neuroimaging studies have identified discrepancies in ...
GitHub

sleep-stage-scoring

EEGLAB-compatible analysis software for manual / visual sleep stage scoring, signal processing and event marking of polysomnographic (PSG) data for MATLAB.
The Stanford Daily

AI predicts future disease risk using sleep patterns

“Fix sleep schedule” features at the top of millions of New Year’s resolutions each year. In fact, it’s widely known that getting adequate rest — that is, eight hours per night — helps improve mood ...