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Sleep apnea is the most common sleep disturbance and it is an important risk factor for cardiovascular disorders. Its detection relies on a polysomnography, a combination of diverse exams. In order to detect changes due to sleep…

Medical Physics · Physics 2015-06-22 Sabrina Camargo , Maik Riedl , Celia Anteneodo , Juergen Kurths , Thomas Penzel , Niels Wessel

Obstructive sleep apnea (OSA) is believed to contribute significantly to atrial fibrillation (AF) development in certain patients. Recent studies indicate a rising risk of AF with increasing OSA severity. However, the commonly used…

Current machine learning models aiming to predict sepsis from Electronic Health Records (EHR) do not account for the heterogeneity of the condition, despite its emerging importance in prognosis and treatment. This work demonstrates the…

Quantitative Methods · Quantitative Biology 2020-11-24 Zina Ibrahim , Honghan Wu , Ahmed Hamoud , Lukas Stappen , Richard Dobson , Andrea Agarossi

Pediatric obstructive sleep apnea affects an estimated 1-5% of elementary-school aged children and can lead to other detrimental health problems. Swift diagnosis and treatment are critical to a child's growth and development, but the…

Quantitative Methods · Quantitative Biology 2021-08-10 Emily T. Winn , Marilyn Vazquez , Prachi Loliencar , Kaisa Taipale , Xu Wang , Giseon Heo

Obstructive sleep apnea (OSA) is a common sleep disorder caused by abnormal breathing. The severity of OSA can lead to many symptoms such as sudden cardiac death (SCD). Polysomnography (PSG) is a gold standard for OSA diagnosis. It records…

Signal Processing · Electrical Eng. & Systems 2020-07-28 Nannapas Banluesombatkul , Thanawin Rakthanmanon , Theerawit Wilaiprasitporn

Obstructive sleep apnea (OSA) is one of the most widespread respiratory diseases today. Complete or relative breathing cessations due to upper airway subsidence during sleep is OSA. It has confirmed potential influence on Covid-19…

Machine Learning · Computer Science 2021-12-20 Hosna Ghandeharioun

Electroencephalography (EEG) is a method to record the electrical signals in the brain. Recognizing the EEG patterns in the sleeping brain gives insights into the understanding of sleeping disorders. The dataset under consideration contains…

Machine Learning · Statistics 2018-04-25 Aditya Chindhade , Abhijeet Alshi , Aakash Bhatia , Kedar Dabhadkar , Pranav Sivadas Menon

Electrocardiography (ECG) signal is a highly applied measurement for individual heart condition, and much effort have been endeavored towards automatic heart arrhythmia diagnosis based on machine learning. However, traditional machine…

Signal Processing · Electrical Eng. & Systems 2021-11-01 Ziyu Liu , Xiang Zhang

The increasing reliance on Computed Tomography Pulmonary Angiography (CTPA) for Pulmonary Embolism (PE) diagnosis presents challenges and a pressing need for improved diagnostic solutions. The primary objective of this study is to leverage…

Fluctuations in heart rate are intimately tied to changes in the physiological state of the organism. We examine and exploit this relationship by classifying a human subject's wake/sleep status using his instantaneous heart rate (IHR)…

Applications · Statistics 2018-08-02 John Malik , Yu-Lun Lo , Hau-tieng Wu

Obstructive sleep apnea is a serious condition causing a litany of health problems especially in the pediatric population. However, this chronic condition can be treated if diagnosis is possible. The gold standard for diagnosis is an…

Computer Vision and Pattern Recognition · Computer Science 2019-11-14 Milad Kiaee , Adam B Kashlak , Jisu Kim , Giseon Heo

Detection of desaturations on the pulse oximetry signal is of great importance for the diagnosis of sleep apneas. Using the counting of desaturations, an index can be built to help in the diagnosis of severe cases of obstructive sleep…

Medical Physics · Physics 2014-06-02 Gastón Schlotthauer , Leandro E. Di Persia , Luis D. Larrateguy , Diego H. Milone

The state-of-the-art cardiovascular disease diagnosis techniques use machine-learning algorithms based on feature extraction and classification. In this work, in contrast to a conventional single Electrocardiogram (ECG) lead, two leads are…

Signal Processing · Electrical Eng. & Systems 2023-05-26 Cheng Guo , Sajid Ahmed , Mohamed-Slim Alouini

Sepsis, characterized by a dysregulated immune response to infection, results in significant mortality, morbidity, and healthcare costs. The timely prediction of sepsis progression is crucial for reducing adverse outcomes through early…

Machine Learning · Computer Science 2026-01-01 Alireza Rafiei , Farshid Hajati , Alireza Rezaee , Amirhossien Panahi , Shahadat Uddin

Epilepsy is a neurological disorder that affects normal neural activity. These electrical activities can be recorded as signals containing information about the brain known as Electroencephalography (EEG) signals. Analysis of the EEG…

Signal Processing · Electrical Eng. & Systems 2025-07-10 Fatemeh Valipour , Zahra Valipour , Mani Garousi , Ali Khadem

Apnea is a common sleep disorder characterized by breathing interruptions lasting at least ten seconds and occurring more than five times per hour. Accurate, high-temporal-resolution detection of sleep apnea subtypes - Obstructive, Central,…

Signal Processing · Electrical Eng. & Systems 2025-08-06 Zahra Mohammadi , Siamak Mohammadi

Accurate classification of seizure types plays a crucial role in the treatment and disease management of epileptic patients. Epileptic seizure types not only impact the choice of drugs but also the range of activities a patient can safely…

Machine Learning · Computer Science 2020-08-13 Subhrajit Roy , Umar Asif , Jianbin Tang , Stefan Harrer

Obstructive sleep Apnea (OSA) is a form of sleep disordered breathing characterized by frequent episodes of upper airway collapse during sleep. Pediatric OSA occurs in 1-5% of children and can related to other serious health conditions such…

Quantitative Methods · Quantitative Biology 2020-02-20 Sarah Tymochko , Kritika Singhal , Giseon Heo

Accurately diagnosing sleep disorders is essential for clinical assessments and treatments. Polysomnography (PSG) has long been used for detection of various sleep disorders. In this research, electrocardiography (ECG) and electromayography…

Machine Learning · Computer Science 2021-11-12 Delaram Jarchi , Javier Andreu-Perez , Mehrin Kiani , Oldrich Vysata , Jiri Kuchynka , Ales Prochazka , Saeid Sane

The aim of this paper is to propose an application of mutual information-based ensemble methods to the analysis and classification of heart beats associated with different types of Arrhythmia. Models of multilayer perceptrons, support…

Computational Engineering, Finance, and Science · Computer Science 2015-02-09 Othman Soufan , Samer Arafat
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