The rapid development of biosensing technologies together with the advent of deep learning
has marked an era in healthcare and biomedical research where widespread devices like …

Due to insufficient treatment options for insomnia, effective solutions are urgently needed.
We evaluated the effects of a CBT‐I‐based app combining sleep training with subjective and …

Over the past few decades, the use of heart rate variability (HRV) has expanded significantly
due to its ease of collection, affordability, and its clinical relevance to psychophysiological …

Study Objectives: We investigate using Mamba-based deep learning approaches for sleep
staging on signals from ANNE One (Sibel Health, Evanston, IL), a minimally intrusive dual …

Background/Objectives: Orthosomnia has become a concern in the field of sleep medicine.
The purpose of this cross-sectional study was to estimate the prevalence of orthosomnia in …

Affect and cognitive load influence many user behaviors. In this paper, we propose Motion
as Emotion, a novel method that utilizes fine differences in hand motion to recognise affect …

Child sleep problem is a significant concern for parents, persisting from infancy to the school-
age years. Sleep-related issues not only impact a child's health and development but can …

To study the non-EEG sleep assessment method suitable for wearable devices, a complex
network-based sleep stage characteristic analysis method for short-term heart rate variability …

In etwa 10% der Bevölkerung in Europa leiden an Insomnie. Aufgrund dieses Ausmaßes
und der daraus resultierenden Knappheit an Therapieplätzen für die empfohlene kognitive …

Die Qualität des Schlafes hat einen erheblichen Einfluss auf das allgemeine Wohlbefinden,
die Gesundheit und die alltägliche Leistungsfähigkeit. Dennoch leiden viele Menschen an …