Research graph
References from SApneaNet: Adaptive Squeeze-and-Excitation-Based CNN–Transformer Network with AGFF for Sleep Apnea Event Detection Using ECG Images Under IoMT. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
External reference
Clinical practice guideline for diagnostic testing for adult obstructive sleep apnea: An American Academy of Sleep Medicine clinical practice guideline
10.5664/jcsm.6506 · 2017 · External reference
Cardiovascular consequences of obstructive sleep apnea
10.1007/s11886-019-1228-3 · 2019 · External reference
A hybrid transformer model for obstructive sleep apnea detection based on self-attention mechanism using single-lead ECG
2022 · External reference
Estimation of the global prevalence and burden of obstructive sleep apnoea: A literature-based analysis
10.1016/s2213-2600(19)30198-5 · 2019 · External reference
10.1093/sleep/22.5.667
10.1093/sleep/22.5.667 · External reference
Sleep apnea: Types, mechanisms, and clinical cardiovascular consequences
10.1016/j.jacc.2016.11.069 · 2017 · External reference
Practice parameters for the indications for polysomnography and related procedures: An update for 2005
10.1093/sleep/28.4.499 · 2005 · External reference
SCNN: Scalogram-based convolutional neural network to detect obstructive sleep apnea using single-lead electrocardiogram signals
10.1016/j.compbiomed.2021.104532 · 2021 · External reference
Recent advances in wearable sensors and portable electronics for sleep monitoring
10.1016/j.isci.2021.102461 · 2021 · External reference
Health care savings: The economic value of diagnostic and therapeutic care for obstructive sleep apnea
10.5664/jcsm.6034 · 2016 · External reference
Automatic screening of sleep apnea patients based on the SpO2 signal
10.1109/jbhi.2018.2817368 · 2018 · External reference
Deep learning for obstructive sleep apnea diagnosis based on single channel oximetry
10.1038/s41467-023-40604-3 · 2023 · External reference
An explainable deep-learning architecture for pediatric sleep apnea identification from overnight airflow and oximetry signals
10.1016/j.bspc.2023.105490 · 2024 · External reference
Sleep apnea detection using deep learning
10.31803/tg-20191104191722 · 2019 · External reference
Improving diagnostic ability of blood oxygen saturation from overnight pulse oximetry in obstructive sleep apnea detection by means of central tendency measure
10.1016/j.artmed.2007.06.002 · 2007 · External reference
A machine learning-based test for adult sleep apnoea screening at home using oximetry and airflow
10.1038/s41598-020-62223-4 · 2020 · External reference
Sleep apnea detection using artificial bee colony optimize hermite basis functions for EEG signals
10.1109/tim.2019.2902809 · 2019 · External reference
Classification of sleep apnea based on EEG sub-band signal characteristics
10.1038/s41598-021-85138-0 · 2021 · External reference
EEG-CLNet: Collaborative learning for simultaneous measurement of sleep stages and OSA events based on single EEG signal
10.1109/tim.2023.3326234 · 2023 · External reference
TFFormer: A time-frequency information fusion-based CNN-transformer model for OSA detection with single-lead ECG
2023 · External reference
Time-hybrid OSAformer (THO): A hybrid temporal sequence transformer for accurate detection of obstructive sleep apnea via single-lead ECG signals
10.1016/j.cmpb.2024.108558 · 2025 · External reference
EfficientNet-based machine learning architecture for sleep apnea identification in clinical single-lead ECG signal data sets
10.1186/s12938-024-01252-w · 2024 · External reference
Classification of obstructive sleep apnoea from single-lead ECG signals using convolutional neural and long short term memory networks
10.1016/j.bspc.2021.102906 · 2021 · External reference
Detection of obstructive sleep apnea from single-channel ECG signals using a CNN-transformer architecture
10.1016/j.bspc.2023.104581 · 2023 · External reference
Explainable AI-driven scalogram analysis and optimized transfer learning for sleep apnea detection with single-lead electrocardiograms
10.1016/j.compbiomed.2025.109769 · 2025 · External reference
10.1109/bibm55620.2022.9995675
10.1109/bibm55620.2022.9995675 · External reference
A novel approach OSA detection using single-lead ECG scalogram based on deep neural network
10.1142/s021951941950026x · 2019 · External reference
Obstructive sleep apnea detection using optimized Bi-LSTM with random forest based exhaustive feature selector
10.1007/s11042-024-18837-1 · 2024 · External reference
DeepApneaNet: A Multistage CNN-Bi-LSTM Hybrid Model for Sleep Apnea Detection from Single-Lead ECG Signal
10.1109/lsens.2025.3558675 · 2025 · External reference
Obstructive Sleep Apnea Detection Scheme Based on Manually Generated Features and Parallel Heterogeneous Deep Learning Model Under IoMT
10.1109/jbhi.2022.3166859 · 2022 · External reference
A Sleep Apnea Detection Method Based on Unsupervised Feature Learning and Single-Lead Electrocardiogram
2021 · External reference
A method to detect sleep apnea based on deep neural network and hidden Markov model using single-lead ECG signal
10.1016/j.neucom.2018.03.011 · 2018 · External reference
DRLFormer: A Data Rebalancing Loss-Constrained Light Transformer for OSA Detection
2024 · External reference
Unresolved reference
External reference
10.3390/biology12040533
10.3390/biology12040533 · External reference
Detection of obstructive sleep apnea from cardiac interbeat interval time series
2000 · External reference
Transformers in medical imaging: A survey
10.1016/j.media.2023.102802 · 2023 · External reference
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
10.1016/j.media.2023.102762 · 2023 · External reference
Obstructive sleep apnea detection using discrete wavelet transform-based statistical features
10.1016/j.compbiomed.2020.104199 · 2021 · External reference
An obstructive sleep apnea detection approach using a discriminative hidden Markov model from ECG signals
10.1109/tbme.2015.2498199 · 2016 · External reference
Sleep apnea detection from ECG using variational mode decomposition
10.1088/2057-1976/ab68e9 · 2020 · External reference
Automated sleep apnea detection from cardio-pulmonary signal using bivariate fast and adaptive EMD coupled with cross time-frequency analysis
10.1016/j.compbiomed.2020.103769 · 2020 · External reference
An expert system for automated identification of obstructive sleep apnea from single-lead ECG using random under sampling boosting
10.1016/j.neucom.2016.12.062 · 2017 · External reference
Detection of preceding sleep apnea using ECG spectrogram during CPAP titration night: A novel machine-learning and bag-of-features framework
10.1111/jsr.13991 · 2024 · External reference
The Apnea-ECG Database
2000 · External reference
PhysioNet as a global platform for biomedical research
10.1038/s44360-026-00096-z · 2026 · External reference
10.1109/eict48899.2019.9068806
10.1109/eict48899.2019.9068806 · External reference
Wavelet transforms and the ECG: A review
10.1088/0967-3334/26/5/r01 · 2005 · External reference
10.3390/life12101509
10.3390/life12101509 · External reference
Attention is all you need
2017 · External reference
Vision Transformers Are Robust Learners
2022 · External reference
10.3390/signals7010004
10.3390/signals7010004 · External reference
10.1109/iccv48922.2021.00009
10.1109/iccv48922.2021.00009 · External reference
10.1007/978-3-030-58452-8_13
10.1007/978-3-030-58452-8_13 · External reference
Unresolved reference
External reference
10.1109/iciestr60916.2024.10798341
10.1109/iciestr60916.2024.10798341 · External reference
An introduction to ROC analysis
10.1016/j.patrec.2005.10.010 · 2006 · External reference
Towards automatic home-based sleep apnea estimation using deep learning
10.1038/s41746-024-01139-z · 2024 · External reference
Index for rating diagnostic tests
10.1002/1097-0142(1950)3:1<32::aid-cncr2820030106>3.0.co;2-3 · 1950 · External reference
Index for rating diagnostic tests
10.1002/1097-0142(1950)3:1<32::aid-cncr2820030106>3.0.co;2-3 · ExternalCitation · doi-reference
10.1007/978-3-030-58452-8_13
10.1007/978-3-030-58452-8_13 · ExternalCitation · doi-reference
Obstructive sleep apnea detection using optimized Bi-LSTM with random forest based exhaustive feature selector
10.1007/s11042-024-18837-1 · ExternalCitation · doi-reference
Cardiovascular consequences of obstructive sleep apnea
10.1007/s11886-019-1228-3 · ExternalCitation · doi-reference
Improving diagnostic ability of blood oxygen saturation from overnight pulse oximetry in obstructive sleep apnea detection by means of central tendency measure
10.1016/j.artmed.2007.06.002 · ExternalCitation · doi-reference
Classification of obstructive sleep apnoea from single-lead ECG signals using convolutional neural and long short term memory networks
10.1016/j.bspc.2021.102906 · ExternalCitation · doi-reference
Detection of obstructive sleep apnea from single-channel ECG signals using a CNN-transformer architecture
10.1016/j.bspc.2023.104581 · ExternalCitation · doi-reference
An explainable deep-learning architecture for pediatric sleep apnea identification from overnight airflow and oximetry signals
10.1016/j.bspc.2023.105490 · ExternalCitation · doi-reference
Time-hybrid OSAformer (THO): A hybrid temporal sequence transformer for accurate detection of obstructive sleep apnea via single-lead ECG signals
10.1016/j.cmpb.2024.108558 · ExternalCitation · doi-reference
Automated sleep apnea detection from cardio-pulmonary signal using bivariate fast and adaptive EMD coupled with cross time-frequency analysis
10.1016/j.compbiomed.2020.103769 · ExternalCitation · doi-reference
Obstructive sleep apnea detection using discrete wavelet transform-based statistical features
10.1016/j.compbiomed.2020.104199 · ExternalCitation · doi-reference
SCNN: Scalogram-based convolutional neural network to detect obstructive sleep apnea using single-lead electrocardiogram signals
10.1016/j.compbiomed.2021.104532 · ExternalCitation · doi-reference
Explainable AI-driven scalogram analysis and optimized transfer learning for sleep apnea detection with single-lead electrocardiograms
10.1016/j.compbiomed.2025.109769 · ExternalCitation · doi-reference
Recent advances in wearable sensors and portable electronics for sleep monitoring
10.1016/j.isci.2021.102461 · ExternalCitation · doi-reference
Sleep apnea: Types, mechanisms, and clinical cardiovascular consequences
10.1016/j.jacc.2016.11.069 · ExternalCitation · doi-reference
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
10.1016/j.media.2023.102762 · ExternalCitation · doi-reference
Transformers in medical imaging: A survey
10.1016/j.media.2023.102802 · ExternalCitation · doi-reference
An expert system for automated identification of obstructive sleep apnea from single-lead ECG using random under sampling boosting
10.1016/j.neucom.2016.12.062 · ExternalCitation · doi-reference
A method to detect sleep apnea based on deep neural network and hidden Markov model using single-lead ECG signal
10.1016/j.neucom.2018.03.011 · ExternalCitation · doi-reference
An introduction to ROC analysis
10.1016/j.patrec.2005.10.010 · ExternalCitation · doi-reference
Estimation of the global prevalence and burden of obstructive sleep apnoea: A literature-based analysis
10.1016/s2213-2600(19)30198-5 · ExternalCitation · doi-reference
Deep learning for obstructive sleep apnea diagnosis based on single channel oximetry
10.1038/s41467-023-40604-3 · ExternalCitation · doi-reference
A machine learning-based test for adult sleep apnoea screening at home using oximetry and airflow
10.1038/s41598-020-62223-4 · ExternalCitation · doi-reference
Classification of sleep apnea based on EEG sub-band signal characteristics
10.1038/s41598-021-85138-0 · ExternalCitation · doi-reference
Towards automatic home-based sleep apnea estimation using deep learning
10.1038/s41746-024-01139-z · ExternalCitation · doi-reference
PhysioNet as a global platform for biomedical research
10.1038/s44360-026-00096-z · ExternalCitation · doi-reference
Wavelet transforms and the ECG: A review
10.1088/0967-3334/26/5/r01 · ExternalCitation · doi-reference
Sleep apnea detection from ECG using variational mode decomposition
10.1088/2057-1976/ab68e9 · ExternalCitation · doi-reference
10.1093/sleep/22.5.667
10.1093/sleep/22.5.667 · ExternalCitation · doi-reference
Practice parameters for the indications for polysomnography and related procedures: An update for 2005
10.1093/sleep/28.4.499 · ExternalCitation · doi-reference
10.1109/bibm55620.2022.9995675
10.1109/bibm55620.2022.9995675 · ExternalCitation · doi-reference
10.1109/eict48899.2019.9068806
10.1109/eict48899.2019.9068806 · ExternalCitation · doi-reference
10.1109/iccv48922.2021.00009
10.1109/iccv48922.2021.00009 · ExternalCitation · doi-reference
10.1109/iciestr60916.2024.10798341
10.1109/iciestr60916.2024.10798341 · ExternalCitation · doi-reference
Automatic screening of sleep apnea patients based on the SpO2 signal
10.1109/jbhi.2018.2817368 · ExternalCitation · doi-reference
Obstructive Sleep Apnea Detection Scheme Based on Manually Generated Features and Parallel Heterogeneous Deep Learning Model Under IoMT
10.1109/jbhi.2022.3166859 · ExternalCitation · doi-reference
DeepApneaNet: A Multistage CNN-Bi-LSTM Hybrid Model for Sleep Apnea Detection from Single-Lead ECG Signal
10.1109/lsens.2025.3558675 · ExternalCitation · doi-reference
An obstructive sleep apnea detection approach using a discriminative hidden Markov model from ECG signals
10.1109/tbme.2015.2498199 · ExternalCitation · doi-reference
Sleep apnea detection using artificial bee colony optimize hermite basis functions for EEG signals
10.1109/tim.2019.2902809 · ExternalCitation · doi-reference
EEG-CLNet: Collaborative learning for simultaneous measurement of sleep stages and OSA events based on single EEG signal
10.1109/tim.2023.3326234 · ExternalCitation · doi-reference
Detection of preceding sleep apnea using ECG spectrogram during CPAP titration night: A novel machine-learning and bag-of-features framework
10.1111/jsr.13991 · ExternalCitation · doi-reference
A novel approach OSA detection using single-lead ECG scalogram based on deep neural network
10.1142/s021951941950026x · ExternalCitation · doi-reference
EfficientNet-based machine learning architecture for sleep apnea identification in clinical single-lead ECG signal data sets
10.1186/s12938-024-01252-w · ExternalCitation · doi-reference
Sleep apnea detection using deep learning
10.31803/tg-20191104191722 · ExternalCitation · doi-reference
10.3390/biology12040533
10.3390/biology12040533 · ExternalCitation · doi-reference
10.3390/life12101509
10.3390/life12101509 · ExternalCitation · doi-reference
10.3390/signals7010004
10.3390/signals7010004 · ExternalCitation · doi-reference
Health care savings: The economic value of diagnostic and therapeutic care for obstructive sleep apnea
10.5664/jcsm.6034 · ExternalCitation · doi-reference
Clinical practice guideline for diagnostic testing for adult obstructive sleep apnea: An American Academy of Sleep Medicine clinical practice guideline
10.5664/jcsm.6506 · ExternalCitation · doi-reference
