AIMC Topic: Sleep Apnea Syndromes

Clear Filters Showing 11 to 20 of 80 articles

Detection of Sleep Apnea Using Wearable AI: Systematic Review and Meta-Analysis.

Journal of medical Internet research Sep 10, 2024
BACKGROUND: Early detection of sleep apnea, the health condition where airflow either ceases or decreases episodically during sleep, is crucial to initiate timely interventions and avoid complications. Wearable artificial intelligence (AI), the integ...
Wearable Electronic Devices Sleep Apnea Syndromes Polysomnography Humans Artificial Intelligence
View on PubMed DOI

Developing probabilistic ensemble machine learning models for home-based sleep apnea screening using overnight SpO2 data at varying data granularity.

Sleep & breathing = Schlaf & Atmung Aug 27, 2024
PURPOSE: This study aims to develop sleep apnea screening models with overnight SpO2 data, and to investigate the impact of the SpO2 data granularity on model performance.
Humans Machine Learning Models, Statistical Sleep Apnea Syndromes Sleep Apnea, Obstructive Oxygen Saturation Polysomnography Oximetry Male Middle Aged Mass Screening Female Aged Adult
View on PubMed DOI

Twistable and Stretchable Nasal Patch for Monitoring Sleep-Related Breathing Disorders Based on a Stacking Ensemble Learning Model.

ACS applied materials & interfaces Aug 27, 2024
Obstructive sleep apnea syndrome disrupts sleep, destroys the homeostasis of biological systems such as metabolism and the immune system, and reduces learning ability and memory. The existing polysomnography used to measure sleep disorders is execute...
Humans Machine Learning Sleep Apnea, Obstructive Male Wearable Electronic Devices Sleep Apnea Syndromes
View on PubMed DOI

MPCNN: A Novel Matrix Profile Approach for CNN-based Single Lead Sleep Apnea in Classification Problem.

IEEE journal of biomedical and health informatics Aug 6, 2024
Sleep apnea (SA) is a significant respiratory condition that poses a major global health challenge. Deep Learning (DL) has emerged as an efficient tool for the classification problem in electrocardiogram (ECG)-based SA diagnoses. Despite these advanc...
Deep Learning Electrocardiography Signal Processing, Computer-Assisted Humans Neural Networks, Computer Sleep Apnea Syndromes Algorithms
View on PubMed DOI

Automatic detection of sleep apnea from a single-lead ECG signal based on spiking neural network model.

Computers in biology and medicine Jul 18, 2024
BACKGROUND: Sleep apnea (SLA) is a commonly encountered sleep disorder characterized by repetitive cessation of respiration while sleeping. In the past few years, researchers have focused on developing less complex and more cost-effective diagnostic ...
Sleep Apnea Syndromes Heart Rate Neural Networks, Computer Algorithms Female Male Electrocardiography Humans Signal Processing, Computer-Assisted
View on PubMed DOI

A Deep Transfer Learning Approach for Sleep Stage Classification and Sleep Apnea Detection Using Wrist-Worn Consumer Sleep Technologies.

IEEE transactions on bio-medical engineering Jul 18, 2024
Obstructive sleep apnea (OSA) is a common, underdiagnosed sleep-related breathing disorder with serious health implications Objective - We propose a deep transfer learning approach for sleep stage classification and sleep apnea (SA) detection using w...
Sleep Stages Wrist Accelerometry Polysomnography Male Middle Aged Deep Learning Female Wearable Electronic Devices Aged Signal Processing, Computer-Assisted Adult Sleep Apnea Syndromes Humans
View on PubMed DOI

Integrating machine learning approach to identify sleep-disordered breathing in hypertrophic cardiomyopathy.

Heart (British Cardiac Society) Jun 25, 2024
Sleep Apnea Syndromes Cardiomyopathy, Hypertrophic Polysomnography Female Male Middle Aged Humans Machine Learning
View on PubMed DOI

Machine learning-based detection of sleep-disordered breathing in hypertrophic cardiomyopathy.

Heart (British Cardiac Society) Jun 25, 2024
BACKGROUND: Hypertrophic cardiomyopathy (HCM) is often concomitant with sleep-disordered breathing (SDB), which can cause adverse cardiovascular events. Although an appropriate approach to SDB prevents cardiac remodelling, detection of concomitant SD...
Cardiomyopathy, Hypertrophic Humans Middle Aged Oximetry Aged ROC Curve Machine Learning Adult Sleep Apnea Syndromes Female Male
View on PubMed DOI

EfficientNet-based machine learning architecture for sleep apnea identification in clinical single-lead ECG signal data sets.

Biomedical engineering online Jun 20, 2024
OBJECTIVE: Our objective was to create a machine learning architecture capable of identifying obstructive sleep apnea (OSA) patterns in single-lead electrocardiography (ECG) signals, exhibiting exceptional performance when utilized in clinical data s...
Adult Sleep Apnea, Obstructive Male Humans Machine Learning Electrocardiography Middle Aged Female Signal Processing, Computer-Assisted Aged Sleep Apnea Syndromes
View on PubMed DOI

Artificial intelligence augmented home sleep apnea testing device study (AISAP study).

PloS one May 17, 2024
STUDY OBJECTIVE: This study aimed to prospectively validate the performance of an artificially augmented home sleep apnea testing device (WVU-device) and its patented technology.
Adult Male Middle Aged Humans Sleep Apnea Syndromes Prospective Studies Artificial Intelligence Polysomnography Algorithms Female Aged
View on PubMed DOI
Popular Topics
Recent Journals