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Obstructive sleep apnea-hypopnea syndrome (OSAHS) is a common sleep disorder caused by upper airway blockage, leading to oxygen deprivation and disrupted sleep. Traditional diagnosis using polysomnography (PSG) is expensive, time-consuming,…

Computer Vision and Pattern Recognition · Computer Science 2024-12-30 Yingchen Wei , Xihe Qiu , Xiaoyu Tan , Jingjing Huang , Wei Chu , Yinghui Xu , Yuan Qi

Polysomnographic recordings are essential for diagnosing many sleep disorders, yet their detailed analysis presents considerable challenges. With the rise of machine learning methodologies, researchers have created various algorithms to…

Sleep is a complex physiological process evaluated through various modalities recording electrical brain, cardiac, and respiratory activities. We curate a large polysomnography dataset from over 14,000 participants comprising over 100,000…

Machine Learning · Computer Science 2024-05-29 Rahul Thapa , Bryan He , Magnus Ruud Kjaer , Hyatt Moore , Gauri Ganjoo , Emmanuel Mignot , James Zou

The ability to assess sleep at home, capture sleep stages, and detect the occurrence of apnea (without on-body sensors) simply by analyzing the radio waves bouncing off people's bodies while they sleep is quite powerful. Such a capability…

Obstructive Sleep Apnea (OSA) is a highly prevalent but inconspicuous disease that seriously jeopardizes the health of human beings. Polysomnography (PSG), the gold standard of detecting OSA, requires multiple specialized sensors for signal…

Signal Processing · Electrical Eng. & Systems 2021-01-11 Guanhua Ye , Hongzhi Yin , Tong Chen , Hongxu Chen , Lizhen Cui , Xiangliang Zhang

Much attention has been given to automatic sleep staging algorithms in past years, but the detection of discrete events in sleep studies is also crucial for precise characterization of sleep patterns and possible diagnosis of sleep…

Signal Processing · Electrical Eng. & Systems 2020-04-14 Alexander Neergaard Olesen , Stanislas Chambon , Valentin Thorey , Poul Jennum , Emmanuel Mignot , Helge B. D. Sorensen

Accurate sleep stage classification is crucial for diagnosing sleep disorders and evaluating sleep quality. While polysomnography (PSG) remains the gold standard, photoplethysmography (PPG) is more practical due to its affordability and…

Sleep is a crucial aspect of our overall health and well-being. It plays a vital role in regulating our mental and physical health, impacting our mood, memory, and cognitive function to our physical resilience and immune system. The…

Cortical arousals are transient events of disturbed sleep that occur spontaneously or in response to stimuli such as apneic events. The gold standard for arousal detection in human polysomnographic recordings (PSGs) is manual annotation by…

Although the field of sleep study has greatly developed over the recent years, the most common and efficient way to detect sleep issues remains a sleep examination performed in a sleep laboratory, in a procedure called Polysomnography…

Computer Vision and Pattern Recognition · Computer Science 2020-08-25 Yoav Goldstein , Martin Schätz , Mireille Avigal

Understanding the sleep quality and architecture is essential to human being's health, which is usually represented using multiple sleep stages. A standard sleep stage determination requires Electroencephalography (EEG) signals during the…

Signal Processing · Electrical Eng. & Systems 2019-09-26 Yuezhou Zhang , Zhicheng Yang , Ke Lan , Xiaoli Liu , Zhengbo Zhang , Peiyao Li , Desen Cao , Jiewen Zheng , Jianli Pan

Sleep stage classification constitutes an important preliminary exam in the diagnosis of sleep disorders. It is traditionally performed by a sleep expert who assigns to each 30s of signal a sleep stage, based on the visual inspection of…

Machine Learning · Statistics 2017-11-28 Stanislas Chambon , Mathieu Galtier , Pierrick Arnal , Gilles Wainrib , Alexandre Gramfort

Multimodal physiological signals, such as EEG, ECG, EOG, and EMG, are crucial for healthcare and brain-computer interfaces. While existing methods rely on specialized architectures and dataset-specific fusion strategies, they struggle to…

Signal Processing · Electrical Eng. & Systems 2026-03-18 Wei-Bang Jiang , Xi Fu , Yi Ding , Cuntai Guan

Bed-based pressure-sensitive mats (PSMs) offer a non-intrusive way of monitoring patients during sleep. We focus on four-way sleep position classification using data collected from a PSM placed under a mattress in a sleep clinic. Sleep…

Computer Vision and Pattern Recognition · Computer Science 2025-05-14 Olivier Papillon , Rafik Goubran , James Green , Julien Larivière-Chartier , Caitlin Higginson , Frank Knoefel , Rébecca Robillard

Sleep constitutes a key indicator of human health, performance, and quality of life. Sleep deprivation has long been related to the onset, development, and worsening of several mental and metabolic disorders, constituting an essential…

Signal Processing · Electrical Eng. & Systems 2023-01-25 María Martínez-García , Fernando Moreno-Pino , Pablo M. Olmos , Antonio Artés-Rodríguez

Sleeping problems have become one of the major diseases all over the world. To tackle this issue, the basic tool used by specialists is the Polysomnogram, which is a collection of different signals recorded during sleep. After its…

Machine Learning · Computer Science 2021-03-31 Enrique Fernandez-Blanco , Daniel Rivero , Alejandro Pazos

Obstructive sleep apnea (OSA) is frequent and responsible for cardiovascular complications and excessive daytime sleepiness. It is underdiagnosed due to the difficulty to access the gold standard for diagnosis, polysomnography (PSG).…

Physiological signals are inherently heterogeneous: they are collected under diverse acquisition setups, differ in the number and type of modalities and channels, varying in quality, reliability, and relevance across tasks. This variability…

Psychiatric patients' passive activity monitoring is crucial to detect behavioural shifts in real-time, comprising a tool that helps clinicians supervise patients' evolution over time and enhance the associated treatments' outcomes.…

Signal Processing · Electrical Eng. & Systems 2022-11-21 Fernando Moreno-Pino , María Martínez-García , Pablo M. Olmos , Antonio Artés-Rodríguez

Sleep apnea (SA) is a type of sleep disorder characterized by snoring and chronic sleeplessness, which can lead to serious conditions such as high blood pressure, heart failure, and cardiomyopathy (enlargement of the muscle tissue of the…

Computer Vision and Pattern Recognition · Computer Science 2022-09-13 Anh-Tu Nguyen , Thao Nguyen , Huy-Khiem Le , Huy-Hieu Pham , Cuong Do