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Classification methods to detect sleep apnea in adults based on respiratory and oximetry signals: a systematic review
Objective: Sleep apnea (SA), a common sleep disorder, can significantly decrease the
quality of life, and is closely associated with major health risks such as cardiovascular …
quality of life, and is closely associated with major health risks such as cardiovascular …
Classification techniques on computerized systems to predict and/or to detect Apnea: A systematic review
Background and objective Sleep apnea syndrome (SAS), which can significantly decrease
the quality of life is associated with a major risk factor of health implications such as …
the quality of life is associated with a major risk factor of health implications such as …
An intelligent sleep apnea classification system based on EEG signals
V Vimala, K Ramar, M Ettappan - Journal of medical systems, 2019 - Springer
Sleep Apnea is a sleep disorder which causes stop in breathing for a short duration of time
that happens to human beings and animals during sleep. Electroencephalogram (EEG) …
that happens to human beings and animals during sleep. Electroencephalogram (EEG) …
Predictive power of XGBoost_BiLSTM model: a machine-learning approach for accurate sleep apnea detection using electronic health data
Sleep apnea is a common disorder that can cause pauses in breathing and can last from a
few seconds to several minutes, as well as shallow breathing or complete cessation of …
few seconds to several minutes, as well as shallow breathing or complete cessation of …
Sleep apnea detection based on ECG signals using discrete wavelet transform and artificial neural network
Sleep apnea is a sleep disorder that can cause serious health problems. An Artificial Neural
Network classifier to detect sleep apnea has been presented in this paper by utilizing the …
Network classifier to detect sleep apnea has been presented in this paper by utilizing the …
Computer‐assisted diagnosis of the sleep apnea‐hypopnea syndrome: a review
Automatic diagnosis of the Sleep Apnea‐Hypopnea Syndrome (SAHS) has become an
important area of research due to the growing interest in the field of sleep medicine and the …
important area of research due to the growing interest in the field of sleep medicine and the …
Sleep apnea detection from ECG signal using deep CNN-based structures
In this paper, transfer learning is used for the adaptation of pre-trained deep convolutional
neural networks (DCNNs) to find the best appropriate method for the classification of …
neural networks (DCNNs) to find the best appropriate method for the classification of …
Speed and Accuracy Trade-off ANN/SVM Based Sleep Apnea Detection with FPGA Implementation
During sleep, some people experience breathing difficulties, leading to a condition known
as sleep apnoea, which can result in suffocation. This study focuses on detecting sleep …
as sleep apnoea, which can result in suffocation. This study focuses on detecting sleep …
Prediction of the Sleep Apnea Severity Using 2D-Convolutional Neural Networks and Respiratory Effort Signals
The high prevalence of sleep apnea and the limitations of polysomnography have prompted
the investigation of strategies aimed at automated diagnosis using a restricted number of …
the investigation of strategies aimed at automated diagnosis using a restricted number of …
Usefulness of artificial neural networks in the diagnosis and treatment of sleep apnea-hypopnea syndrome
D Álvarez, A Cerezo-Hernández… - Sleep Apnea-Recent …, 2017 - books.google.com
Sleep apnea-hypopnea syndrome (SAHS) is a chronic and highly prevalent disease
considered a major health problem in industrialized countries. The gold standard diagnostic …
considered a major health problem in industrialized countries. The gold standard diagnostic …