Diagnosis of Obstructive Sleep Apnea from ECG Signals Using Machine Learning and Deep Learning Classifiers

A Systematic Review On The Association Between Obstructive Sleep Apnea And Chronic Kidney Disease

(2020) Ilaria Umbro et al.   SLEEP MEDICINE REVIEWS

A Sleep Apnea Detection System Based on a One-Dimensional Deep Convolution Neural Network Model Using Single-Lead Electrocardiogram

(2020) Hung-Yu Chang et al.   SENSORS

Detection of Snore from OSAHS Patients Based on Deep Learning

(2020) Fanlin Shen et al.   Journal of Healthcare Engineering

A NOVEL APPROACH OSA DETECTION USING SINGLE-LEAD ECG SCALOGRAM BASED ON DEEP NEURAL NETWORK

(2019) SINAM AJITKUMAR SINGH et al.   Journal of Mechanics in Medicine and Biology

Sleep apnea detection from a single-lead ECG signal with automatic feature-extraction through a modified LeNet-5 convolutional neural network

(2019) Tao Wang et al.   PeerJ

DIAGNOSIS OF SLEEP APNEA USING ARTIFICIAL NEURAL NETWORK AND BINARY PARTICLE SWARM OPTIMIZATION FOR FEATURE SELECTION

(2019) Salim Surani et al.   CHEST

Distributed ReliefF-based feature selection in Spark

(2018) Raul-Jose Palma-Mendoza et al.   KNOWLEDGE AND INFORMATION SYSTEMS

A method to detect sleep apnea based on deep neural network and hidden Markov model using single-lead ECG signal

(2018) Kunyang Li et al.   NEUROCOMPUTING

A Review of Obstructive Sleep Apnea Detection Approaches

(2018) Fabio Mendonca et al.   IEEE Journal of Biomedical and Health Informatics

Clinical Practice Guideline for Diagnostic Testing for Adult Obstructive Sleep Apnea: An American Academy of Sleep Medicine Clinical Practice Guideline

(2017) Vishesh K. Kapur et al.   Journal of Clinical Sleep Medicine

An algorithm for sleep apnea detection from single-lead ECG using Hermite basis functions

(2016) Hemant Sharma et al.   COMPUTERS IN BIOLOGY AND MEDICINE

An Obstructive Sleep Apnea Detection Approach Using a Discriminative Hidden Markov Model From ECG Signals

(2016) Changyue Song et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

A REVIEW OF ECG-BASED DIAGNOSIS SUPPORT SYSTEMS FOR OBSTRUCTIVE SLEEP APNEA

(2016) OLIVER FAUST et al.   Journal of Mechanics in Medicine and Biology

A Novel Algorithm for the Automatic Detection of Sleep Apnea From Single-Lead ECG

(2015) Carolina Varon et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Real-Time Adaptive Apnea and Hypopnea Event Detection Methodology for Portable Sleep Apnea Monitoring Devices

(2013) Bijoy Laxmi Koley et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

A new tool for QT interval analysis during sleep in healthy and obstructive sleep apnea subjects: a study on women

(2013) Kemal Alican KAYA et al.   Turkish Journal of Electrical Engineering and Computer Sciences

Real-Time Sleep Apnea Detection by Classifier Combination

(2012) B. Xie et al.   IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE

Automated detection of sleep apnea from electrocardiogram signals using nonlinear parameters

(2011) U Rajendra Acharya et al.   PHYSIOLOGICAL MEASUREMENT

Repeatability of Sleep Apnea Detection in 48-Hour Holter ECG Monitoring

(2010) Barbara Uznańska et al.   ANNALS OF NONINVASIVE ELECTROCARDIOLOGY

Apnea MedAssist: Real-time Sleep Apnea Monitor Using Single-Lead ECG

(2010) Majdi Bsoul et al.   IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE

Comparing Boosting and Bagging Techniques With Noisy and Imbalanced Data

(2010) Taghi M. Khoshgoftaar et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS

Automated detection of obstructive sleep apnoea syndrome from oxygen saturation recordings using linear discriminant analysis

(2010) J. Víctor Marcos et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Classification of Sleep Apnea through Sub-band Energy of Abdominal Effort Signal Using Wavelets + Neural Networks

(2009) M. Emin Tagluk et al.   JOURNAL OF MEDICAL SYSTEMS

Could formant frequencies of snore signals be an alternative means for the diagnosis of obstructive sleep apnea?

(2007) Andrew Keong Ng et al.   SLEEP MEDICINE