Results 141 to 150 of about 116,540 (259)

Vascular age estimation using a consumer wearable sleep tracker. [PDF]

PLOS Digit Health
Yilmaz G, Ghorbani S, Ong JL, Golkashani HA, Zhang C, Yeo BTT, Chee MWL.   +6 more
europepmc   +1 more source

A perspective on automated rapid eye movement sleep assessment

Journal of Sleep Research, Volume 34, Issue 2, April 2025.
Summary Rapid eye movement sleep is associated with distinct changes in various biomedical signals that can be easily captured during sleep, lending themselves to automated sleep staging using machine learning systems. Here, we provide a perspective on the critical characteristics of biomedical signals associated with rapid eye movement sleep and how ...
Mathias Baumert, Huy Phan
wiley   +1 more source

Color-filter-array-based multispectral photoplethysmography optical sensor and its motion artifact correction algorithm. [PDF]

J Biomed Opt
Wei Y, Cong S, Yan R, He Z, Li H, Yu G, Zou M.   +6 more
europepmc   +1 more source

Profiling the sleep architecture of ageing adults using a seven‐state continuous‐time Markov model

Journal of Sleep Research, Volume 34, Issue 2, April 2025.
Summary Sleep is a complex biological process regulated by networks of neurons and environmental factors. As one falls asleep, neurotransmitters from sleep–wake regulating neurones work in synergy to control the switching of different sleep states throughout the night. As sleep disorders or underlying neuropathology can manifest as irregular switching,
Jonathon Jacobs, Caitlin E. Martin, Bernard Fuemmeler, Shanshan Chen   +3 more
wiley   +1 more source

Peristomal pyoderma gangrenosum: a review of nursing research progress. [PDF]

Front Med (Lausanne)
Chen G, Lan X, Li F, Zeng D, Wang L, Chen X, Zhu L.   +6 more
europepmc   +1 more source

Optimising Sleep Stage Detection Using a Minimal Non‐EEG Physiological Signal Set and Deep Learning

Journal of Sleep Research, EarlyView.
ABSTRACT Automatic sleep stage classification is essential for enabling non‐invasive, at‐home monitoring. However, current methods often rely on electroencephalogram (EEG) signals and ad‐hoc development approaches that limit reproducibility. We present a reproducible engineering framework for a deep learning model based on the U‐Net architecture that ...
Ángel Serrano Alarcón, Maksym Gaiduk, Natividad Martínez Madrid, Juan Antonio Ortega, Ralf Seepold   +4 more
wiley   +1 more source

Evaluating cross-dataset transfer learning for photoplethysmography-based blood pressure estimation. [PDF]

Sci Rep
Kim YC, Baek HJ.
europepmc   +1 more source

Screens, Teens, and Sleep: Is the Impact of Nighttime Screen Use on Sleep Driven by Physiological Arousal?

Journal of Sleep Research, EarlyView.
ABSTRACT Few studies have objectively measured both screens and sleep in real‐world settings. This study uses repeated measures to assess heart rate during evening screen use, providing new insights into how these behaviours relate to adolescent sleep. Screen use was recorded using wearable cameras over four nights in 70 youth (37% indigenous Māori, 42%
Kim A. Meredith‐Jones, Jillian J. Haszard, Barbara C. Galland, Shay‐Ruby Wickham, Bradley J. Brosnan, Takiwai Russell‐Camp, Rachael W. Taylor   +6 more
wiley   +1 more source

Same Session Validation of a Custom-Built 22G With the Commercial 25G System for EUS-Guided Portal Pressure Gradient Measurement. [PDF]

United European Gastroenterol J
Praktiknjo M, Farouk N, Wang Z, Stadtmann J, van de Loo D, Kimmann M, Gunia C, Meier JA, Uschner FE, Peiffer KH, Laleman W, Trebicka J, Braden B.   +12 more
europepmc   +1 more source

Talking therapies for anxiety and depression in people affected by dementia: A scoping meta‐review

Psychology and Psychotherapy: Theory, Research and Practice, EarlyView.
Abstract Background Symptoms of anxiety and depression are common in people affected by dementia (people with dementia and family carers). There are many reviews of psychological interventions to reduce stress and distress in people with dementia and family carers, but little cross‐fertilisation with the evidence base underpinning NHS Talking Therapies
Georgina Charlesworth, Cassie Eastham, Lydia Morris   +2 more
wiley   +1 more source