Sleep apnea detection
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Benchmarks
Apnea-ECG
Dreem_NCT03657329
Most implemented
Sleep Apnea Detection From Single-Lead ECG: A Comprehensive Analysis of Machine Learning and Deep Learning Algorithms
SomnNET: An SpO2 Based Deep Learning Network for Sleep Apnea Detection in Smartwatches
Using Under-trained Deep Ensembles to Learn Under Extreme Label Noise
Learning Realistic Patterns from Unrealistic Stimuli: Generalization and Data Anonymization
Non-contact Infant Sleep Apnea Detection
Papers
Deep Learning Approaches for Sleep Apnea Classification from Polysomnographic EEG Signals
Sleep apnea diagnosis via polysomnography remains resource intensive and relies on time consuming manual data analysis and scoring. Recent work has demonstrated that central nervous system effects of sleep apnea events c…
Sleep apnea detectionSleep Apnea Detection on a Wireless Multimodal Wearable Device Without Oxygen Flow Using a Mamba-based Deep Learning Approach
Objectives: We present and evaluate a Mamba-based deep-learning model for diagnosis and event-level characterization of sleep disordered breathing based on signals from the ANNE One, a non-intrusive dual-module wireless …
Sleep apnea detectionExploring the Efficacy of Convolutional Neural Networks in Sleep Apnea Detection from Single Channel EEG
Sleep apnea, a prevalent sleep disorder, involves repeated episodes of breathing interruptions during sleep, leading to various health complications, including cognitive impairments, high blood pressure, heart disease, s…
Sleep apnea detectionA Review on Multisensor Data Fusion for Wearable Health Monitoring
The growing demand for accurate, continuous, and non-invasive health monitoring has propelled multi-sensor data fusion to the forefront of healthcare technology. This review aims to provide an overview of the development…
Arrhythmia DetectionAtrial Fibrillation DetectionAutonomous DrivingSleep apnea detectionThermal Imaging and Radar for Remote Sleep Monitoring of Breathing and Apnea
Polysomnography (PSG), the current gold standard method for monitoring and detecting sleep disorders, is cumbersome and costly. At-home testing solutions, known as home sleep apnea testing (HSAT), exist. However, they ar…
DiagnosticSleep apnea detectionMultimodal Sleep Apnea Detection with Missing or Noisy Modalities
Polysomnography (PSG) is a type of sleep study that records multimodal physiological signals and is widely used for purposes such as sleep staging and respiratory event detection. Conventional machine learning methods as…
Event DetectionSleep apnea detectionSleep Staging