Reference health
A Sleep Apnea Detection Method Based on Unsupervised Feature Learning and Single-Lead Electrocardiogram
53/53 checkable references clean · checked 2026-07-24
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
5 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 53 checked references that resolve
resolves10.1109/CIC.2005.1588266
Automatic segmentation of heart sound signals using hidden markov models
resolves10.1109/TITB.2008.2004495
Support Vector Machines for Automated Recognition of Obstructive Sleep Apnea Syndrome From ECG Recordings
resolves10.1016/j.patrec.2014.01.008
A review of unsupervised feature learning and deep learning for time-series modeling
resolves10.1088/0967-3334/25/4/015
Automated detection of obstructive sleep apnoea at different time scales using the electrocardiogram
resolves10.1007/s12652-018-0867-3
Application of TQWT based filter-bank for sleep apnea screening using ECG signals
resolves10.1007/978-3-642-35289-8_26
Practical Recommendations for Gradient-Based Training of Deep Architectures
resolves10.1109/EMBC.2014.6944546
Feature extraction with stacked autoencoders for epileptic seizure detection
resolves10.1109/TBME.2003.812203
Automated processing of the single-lead electrocardiogram for the detection of obstructive sleep apnoea
resolves10.1016/j.neucom.2018.03.011
A method to detect sleep apnea based on deep neural network and hidden Markov model using single-lead ECG signal
resolves10.1109/JBHI.2020.2967872
Portable Detection of Apnea and Hypopnea Events Using Bio-Impedance of the Chest and Deep Learning
resolves10.1007/s10916-018-0963-0
Automated Detection of Obstructive Sleep Apnea Events from a Single-Lead Electrocardiogram Using a Convolutional Neural Network
resolves10.1109/TNNLS.2018.2832648
A Cost-Sensitive Deep Belief Network for Imbalanced Classification
resolves10.1109/TBME.2015.2498199
An Obstructive Sleep Apnea Detection Approach Using a Discriminative Hidden Markov Model From ECG Signals
resolves10.1016/j.compbiomed.2017.10.004
Heart rate variability feature selection in the presence of sleep apnea: An expert system for the characterization and detection of the disorder
resolves10.1109/TIM.2018.2876777
CGAN-MBL for Reliability Assessment With Imbalanced Transmission Gear Data
resolves10.1109/TIM.2018.2831478
An Unsupervised Method for Evaluating Electrical Impedance Tomography Images
resolves10.1371/journal.pone.0156628
Correlation Analysis between Polysomnography Diagnostic Indices and Heart Rate Variability Parameters among Patients with Obstructive Sleep Apnea Hypopnea Syndrome
resolves10.1097/MD.0000000000000516
Heart Rate Detrended Fluctuation Indexes as Estimate of Obstructive Sleep Apnea Severity
resolves10.1109/JBHI.2013.2292928
An Online Sleep Apnea Detection Method Based on Recurrence Quantification Analysis
resolves10.1016/j.neucom.2016.12.062
An expert system for automated identification of obstructive sleep apnea from single-lead ECG using random under sampling boosting
resolves10.1016/j.compbiomed.2018.06.011
Application of an optimal class of antisymmetric wavelet filter banks for obstructive sleep apnea diagnosis using ECG signals
resolves10.1109/TASE.2014.2345667
An Automatic Screening Approach for Obstructive Sleep Apnea Diagnosis Based on Single-Lead Electrocardiogram
resolves10.1016/j.eswa.2016.06.042
Dynamic driver fatigue detection using hidden Markov model in real driving condition
resolves10.1109/TIM.2013.2261632
Multiparameter Physiological Analysis in Obstructive Sleep Apnea Simulated With Mueller Maneuver
resolves10.1109/TIM.2019.2902809
Sleep Apnea Detection Using Artificial Bee Colony Optimize Hermite Basis Functions for EEG Signals
resolves10.1007/s10916-018-1146-8
An Intelligent Sleep Apnea Classification System Based on EEG Signals
resolves10.1109/EMBC.2019.8857586
Airflow from nasal pulse oximetry in the screening of obstructive sleep apnea
resolves10.1109/EMBC.2015.7320173
Breath-by-breath detection of apneic events for OSA severity estimation using non-contact audio recordings
resolves10.1016/j.compbiomed.2016.08.012
An algorithm for sleep apnea detection from single-lead ECG using Hermite basis functions
resolves10.1016/j.jelectrocard.2010.07.003
Automatic detection and quantification of sleep apnea using heart rate variability
resolves10.1016/j.atherosclerosis.2011.08.021
Association between sleep apnea, snoring, incident cardiovascular events and all-cause mortality in an adult population: MESA
resolves10.1109/TBCAS.2018.2824659
Online Obstructive Sleep Apnea Detection on Medical Wearable Sensors
resolves10.1007/s11517-011-0853-9
ECG signal analysis for the assessment of sleep-disordered breathing and sleep pattern
resolves10.1109/JBHI.2018.2790968
Sliding Trend Fuzzy Approximate Entropy as a Novel Descriptor of Heart Rate Variability in Obstructive Sleep Apnea
resolves10.1109/TITB.2010.2087386
Apnea MedAssist: Real-time Sleep Apnea Monitor Using Single-Lead ECG
resolves10.1007/s10822-018-0116-z
Comparing the performance of meta-classifiers—a case study on selected imbalanced data sets relevant for prediction of liver toxicity
resolves10.1007/BF02345072
Systematic comparison of different algorithms for apnoea detection based on electrocardiogram recordings
The 5 references without a DOI — listed, not checked
no DOI — not checkedHeart rate variability: A noninvasive electrocardiographic method to measure the autonomic nervous system
no DOI — not checkedOptimizing a cost matrix to solve rare-class biological problems
no DOI — not checkedAutomated detection of obstructive sleep apnoea by single-lead ECG through ELM classification
no DOI — not checkedWhy does unsupervised pre-training help deep learning?
no DOI — not checkedBurden of sleep apnea: Rationale, design, and major findings of the Wisconsin Sleep Cohort study
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