Sleep Disorders

Hybrid Residual Neural Network for Obstructive Sleep Apnea Detection Using ECG Scalogram.

The electrocardiogram (ECG) has emerged as a viable alternative to polysomnography (PSG) for the detection of obstructive sleep apnea (OSA). Given the limited feature information of ECG signals in a single domain, this study proposes an adaptive threshold denoising synchrosqueezed wavelet transform (ADSWT) algorithm to extract high-resolution time-frequency domain features of ECG signals. The ADSW...

DeepArousal-Net: A Multi-Block Recurrent Deep Learning Model for Proactive Forecasting of Non-Apneic Arousals From Multichannel PSG.

OBJECTIVE: This study aimed to develop a deep learning model capable of accurately forecasting non-apneic sleep arousals, which are brief awakenings that disrupt sleep continuity and contribute to daytime fatigue. METHODS: We introduce DeepArousal-Net, a novel deep learning model designed to predict non-apnea arousals using multichannel polysomnography (PSG) records. DeepArousal-Net employs a mult...

Feasibility of the Belun sleep platform for obstructive sleep apnea diagnosis: A pilot case series from India.

Polysomnography (PSG) is the gold standard for diagnosing obstructive sleep apnea (OSA), but it poses significant barriers in resource-limited setting...

Differentiating bipolar disorder and schizophrenia using sleep EEG power and coherence features: A machine learning approach based on polysomnography.

Differentiating between bipolar disorder (BD) and schizophrenia (SZ) is challenging due to overlapping clinical symptoms and shared genetic risks, res...

Identifying past-year self-reported suicidality in outpatients with somatic symptom disorder using an interpretable machine-learning model: a multicenter study with an online calculator.

BACKGROUND: Somatic symptom disorder (SSD) is associated with an elevated risk of suicidality. However, clinically implementable tools to identify out...

Novel Event-Based Peripheral Oxygen Saturation Metrics Provide Complementary Information for OSA Classification.

OBJECTIVE: The Apnea-Hypopnea Index (AHI) serves as the primary metric for Obstructive Sleep Apnea (OSA) severity but quantifies only event frequency,...

Capturing silent oxidative stress in early Alzheimer's disease: prediction of CSF biomarkers from sleep qEEG data.

Oxidative stress is a central pathogenic process in the earliest stages of Alzheimer's disease (AD), promoting non-enzymatic protein modifications tha...

Sleep Disorders and Male Infertility: Integrated Mechanisms and Precision Therapeutic Strategies.

BACKGROUND: Male factor infertility accounts for nearly half of infertility cases worldwide, yet modifiable lifestyle-related risk factors remain insu...

Polysomnography Dataset for Sleep Analysis in Ischemic Stroke Patients.

Sleep architecture and integrity significantly influence neural recovery and cognitive restoration. These are particularly relevant in ischemic stroke...

The use of the odds ratio product and self-reported data to detect comorbid insomnia and sleep apnea.

STUDY OBJECTIVES: To evaluate the utility of the odds ratio product (ORP) in differentiating comorbid insomnia and sleep apnea (COMISA) from obstructi...

Evaluation of an automated sleep apnea scoring algorithm via the Wesper Lab home sleep apnea test.

This study evaluated the performance of the Wesper Lab home sleep apnea test (HSAT) artificial intelligence (AI) automated scoring algorithm under bot...

Expert-level probabilistic breathing event detector informs phenotyping of sleep apnea.

Diagnosing sleep disordered breathing requires manual annotation of events from sleep studies, such as nocturnal polysomnography, a process that is ti...

Predicting the Apnea-Hypopnea index for the diagnosis of obstructive sleep apnea with cardiovascular and cancer comorbidity using wearable sleep-tracking devices.

INTRODUCTION: Obstructive Sleep Apnea (OSA) is a highly prevelance sleep breathing disorder that imposes, significant public health and economic burde...

Mamba-based Deep Learning Approach for Sleep Staging on a Wireless Multimodal Wearable System Without Electroencephalography.

STUDY OBJECTIVES: We investigate a Mamba-based deep learning approach for sleep staging on signals from ANNE One (Sibel Health, Chicago, IL), a non-in...

Detecting isolated REM sleep behavior disorder at home using a lower-back wearable sensor.

Isolated REM Sleep Behavior Disorder (iRBD) is a strong predictor of neurodegenerative diseases, particularly synucleinopathies. Current diagnosis req...

Digital Phenotyping for Adolescent Mental Health: Feasibility Study Using Machine Learning to Predict Mental Health Risk From Active and Passive Smartphone Data.

BACKGROUND: Adolescents are particularly vulnerable to mental disorders, with over 75% of lifetime cases emerging before the age of 25 years. Yet most...

Comprehensive Insight into Analytical Strategies for the Determination of Zolpidem and Its Metabolites in Different Matrices.

Zolpidem (ZLP), a non-benzodiazepine hypnotic of the imidazopyridine class, is widely prescribed for the short-term management of insomnia owing to it...

Assessing the Feasibility, Usability, Acceptability, and Efficacy of an AI Chatbot for Sleep Promotion: Quasi-Experimental Study.

BACKGROUND: Poor sleep is a concerning public health problem in the United States. Previous sleep interventions often face barriers such as high costs...

A multilayered integrated analysis of insomnia-related genes ATG7 and JAK2 in the autophagy-inflammation mechanism and clinical implications in major depressive disorder.

OBJECTIVE: Insomnia is widely recognized as a key risk factor for major depressive disorder (MDD). However, the potential molecular mechanisms and the...

Redefining obstructive sleep apnea diagnosis: An attention augmented CNN-BiLSTM hybrid alternative to traditional PSG testing.

Obstructive sleep apnea (OSA) is a common sleep disorder characterized by repeated episodes of upper airway obstruction during sleep. Despite its heal...