Results 191 to 200 of about 111,723 (272)

Electrophysiological diagnosis using the coefficient of variation of R‐R intervals and a point‐of‐care nerve conduction device is highly correlated to the diagnosis of diabetic polyneuropathy using conventional electromyographs

open access: yesJournal of Diabetes Investigation, Volume 17, Issue 2, Page 280-290, February 2026.
ABSTRACT Aims/Introduction While treatment for diabetic polyneuropathy (DPN) is still developing, progress has stagnated. The alignment between pathological neurodegeneration in DPN and patients' subjective symptoms is often low, yet these symptoms are frequently used for diagnosis.
Tatsuhito Himeno   +14 more
wiley   +1 more source

Early Autonomic Dysfunction Following Severe TBI and Impact on Cerebral Hemodynamics: A Narrative Review. [PDF]

open access: yesJ Clin Med
Monten K   +6 more
europepmc   +1 more source

Autonomic Control of Heart Rate During Sleep Is Depressed in Young Children With Prader–Willi Syndrome

open access: yesJournal of Sleep Research, Volume 35, Issue 1, February 2026.
ABSTRACT Children with Prader–Willi syndrome are at increased risk of both obstructive and central sleep apnoea. In addition, these children have impaired autonomic control, which may be exacerbated by sleep apnoea. The aim of this study was to compare autonomic control using heart rate variability and nocturnal dipping of heart rate in children with ...
Okkes R. Patoglu   +6 more
wiley   +1 more source

Heart rate variability analysis using electrocardiograms during cardio-ankle vascular index measurement shows good agreement with resting electrocardiogram-based analysis in patients with diabetes: a retrospective cross-sectional study. [PDF]

open access: yesDiabetol Int
Shibata Y   +23 more
europepmc   +1 more source

Predicting Sleep and Sleep Stage in Children Using Actigraphy and Heartrate via a Long Short‐Term Memory Deep Learning Algorithm: A Performance Evaluation

open access: yesJournal of Sleep Research, Volume 35, Issue 1, February 2026.
ABSTRACT Children's ambulatory sleep is commonly measured via actigraphy. However, traditional actigraphy measured sleep (e.g., Sadeh algorithm) struggles to predict wake (i.e., specificity, values typically < 70) and cannot predict sleep stages. Long short‐term memory (LSTM) is a machine learning algorithm that may address these deficiencies.
R. Glenn Weaver   +18 more
wiley   +1 more source

Impact of Digital Economy on Natural Resources Utilization Efficiency and Its Spillover Effect in the Belt and Road Initiative Countries

open access: yesNatural Resource Modeling, Volume 39, Issue 1, February 2026.
ABSTRACT Faced with global resource constraints and environmental challenges, enhancing natural resources utilization efficiency (NRUE) has become a crucial global strategy. The swift advancement of digital economy (DE) offers a new opportunity to tackle these resource and environmental issues.
Wei Ma   +4 more
wiley   +1 more source

Grief‐Related Chest Pain: A Review, Conceptual Analysis, and Integrative Model

open access: yesPsychophysiology, Volume 63, Issue 2, February 2026.
ABSTRACT Although the death of a loved one is a ubiquitous experience with chest pain a commonly reported symptom, grief‐related chest pain and particularly its physiological mechanisms remain under‐investigated. To address this gap, we adopted Rodger's approach to concept analysis to explore the psychoneuroimmunological mechanisms potentially linking ...
Sophia R. Evstigneev   +4 more
wiley   +1 more source

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