On the public citation graph
Apnea MedAssist: Real-time Sleep Apnea Monitor Using Single-Lead ECG
0 signed · 316 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/1-84628-140-7openalex-snapshot
Second Generation Wavelets and Applications
inferredcites →https://doi.org/10.1007/978-1-4757-2440-0openalex-snapshot
The Nature of Statistical Learning Theory
inferredcites →https://doi.org/10.1007/978-3-540-35488-8_13openalex-snapshot
Combining SVMs with Various Feature Selection Strategies
inferredcites →https://doi.org/10.1034/j.1399-3003.2000.01502.xopenalex-snapshot
Sleep-related breathing disorders: definitions and measurements
inferredcites →https://doi.org/10.1049/el:20001294openalex-snapshot
New lifting based structure for undecimated wavelettransform
inferredcites →https://doi.org/10.1093/sleep/22.5.667openalex-snapshot
Sleep–Related Breathing Disorders in Adults: Recommendations for Syndrome Definition and Measurement Techniques in Clinical Research
inferredcites →https://doi.org/10.1109/10.649998openalex-snapshot
A noninvasive technique for detecting obstructive and central sleep apnea
inferredcites →https://doi.org/10.1109/bsn.2006.27openalex-snapshot
HealthGear: A Real-time Wearable System for Monitoring and Analyzing Physiological Signals
inferredcites →https://doi.org/10.1109/cic.2000.898493openalex-snapshot
Stimulating rapid research advances via focused competition: the Computers in Cardiology Challenge 2000
inferredcites →https://doi.org/10.1109/cic.2000.898508openalex-snapshot
Screening for obstructive sleep apnoea based on the electrocardiogram-the computers in cardiology challenge
inferredcites →https://doi.org/10.1109/cic.2005.1588109openalex-snapshot
Electrocardiogram derived respiration during sleep
inferredcites →https://doi.org/10.1109/icmlc.2003.1259678openalex-snapshot
Reduce the number of support vectors by using clustering techniques
inferredcites →https://doi.org/10.1109/iembs.2007.4352373openalex-snapshot
Real-time Continuous Estimation of Respiratory Frequency during Sleep based on Heart Rate Time Series
inferredcites →https://doi.org/10.1109/iembs.2007.4352473openalex-snapshot
Monitoring of Obstructive Sleep Apnea in Heart Failure Patients
inferredcites →https://doi.org/10.1109/tbme.1986.325695openalex-snapshot
Quantitative Investigation of QRS Detection Rules Using the MIT/BIH Arrhythmia Database
inferredcites →https://doi.org/10.1109/tbme.2003.812203openalex-snapshot
Automated processing of the single-lead electrocardiogram for the detection of obstructive sleep apnoea
inferredcites →https://doi.org/10.1109/titb.2008.2004495openalex-snapshot
Support Vector Machines for Automated Recognition of Obstructive Sleep Apnea Syndrome From ECG Recordings
inferredcites →https://doi.org/10.1136/bmj.329.7472.955openalex-snapshot
Risks of general anaesthesia in people with obstructive sleep apnoea
inferredcites →https://doi.org/10.1148/radiology.148.3.6878708openalex-snapshot
A method of comparing the areas under receiver operating characteristic curves derived from the same cases.
inferredcites →https://doi.org/10.1162/089976603321891855openalex-snapshot
Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel
inferredcites →https://doi.org/10.1201/9780203734032openalex-snapshot
WAVELETS in Medicine and Biology
inferredcites →https://doi.org/10.1378/chest.06-2432openalex-snapshot
Positive Airway Pressure Treatment for Obstructive Sleep Apnea
inferredcites →https://doi.org/10.1504/ijbidm.2005.007318openalex-snapshot
Support vector machines based on K-means clustering for real-time business intelligence systems
inferredcites →https://doi.org/10.5281/zenodo.19712698openalex-snapshot
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
inferredcites →https://doi.org/10.5860/choice.34-3901openalex-snapshot
Wavelets in medicine and biology
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9781118893715.ch4openalex-snapshot
Sensing Technologies for Biomedical Telemetry
inferred← citeshttps://doi.org/10.1002/9781119825883.ch2openalex-snapshot
Analysis of Concurrent, Coupled, and Correlated Processes
inferred← citeshttps://doi.org/10.1007/978-3-030-11884-6_20openalex-snapshot
Smart System for Monitoring Apnea Episodes in Domestic Environments with Sound Sensor
inferred← citeshttps://doi.org/10.1007/978-3-030-27844-1_8openalex-snapshot
Incorporating Artificial Intelligence into Medical Cyber Physical Systems: A Survey
inferred← citeshttps://doi.org/10.1007/978-3-030-32520-6_56openalex-snapshot
Diagnosis of Obstructive Sleep Apnea Using Logistic Regression and Artificial Neural Networks Models
inferred← citeshttps://doi.org/10.1007/978-3-030-36178-5_32openalex-snapshot
Estimation of Heart Rate and Respiratory Rate from Photoplethysmography Signal for the Detection of Obstructive Sleep Apnea
inferred← citeshttps://doi.org/10.1007/978-3-030-68723-6_6openalex-snapshot
Machine and Deep Learning Algorithms for Wearable Health Monitoring
inferred← citeshttps://doi.org/10.1007/978-3-319-12817-7_6openalex-snapshot
Current Status and Future Trends of Wireless and Mobile Health Technologies in Sleep Medicine: Insomnia Case Study
inferred← citeshttps://doi.org/10.1007/978-3-319-13105-4_14openalex-snapshot
mHealthDroid: A Novel Framework for Agile Development of Mobile Health Applications
inferred← citeshttps://doi.org/10.1007/978-3-319-19719-7_22openalex-snapshot
Heuristics for Apnea Episodes Recognition
inferred← citeshttps://doi.org/10.1007/978-3-662-48645-0_18openalex-snapshot
Designing New Low-Cost Home-Oriented Systems for Monitoring and Diagnosis of Patients with Sleep Apnea-Hypopnea
inferred← citeshttps://doi.org/10.1007/978-981-10-5122-7_277openalex-snapshot
Capacitively coupled ECG measurements - a CMRR circuit improvement
inferred← citeshttps://doi.org/10.1007/978-981-10-6499-9_21openalex-snapshot
Apnea Detection with Microbend Fiber-Optic Sensor
inferred← citeshttps://doi.org/10.1007/978-981-10-8354-9_25openalex-snapshot
An Empirical Mode Decomposition-Based Method for Feature Extraction and Classification of Sleep Apnea
inferred← citeshttps://doi.org/10.1007/978-981-13-1799-6_64openalex-snapshot
Sleep Apnea Event Detection System Based on Heart Rate Variability Analysis
inferred← citeshttps://doi.org/10.1007/978-981-15-1100-4_5openalex-snapshot
Efficient ANN Algorithms for Sleep Apnea Detection Using Transform Methods
inferred← citeshttps://doi.org/10.1007/978-981-16-5324-7_8openalex-snapshot
Sleep Monitoring in Adults Using Wearables and Unobtrusive Technology
inferred← citeshttps://doi.org/10.1007/978-981-16-9705-0_24openalex-snapshot
Machine Learning for Detection of Obstructive Sleep Apnoea
inferred← citeshttps://doi.org/10.1007/s10489-024-06013-9openalex-snapshot
Automatic detection of obstructive sleep apnea through nonlinear dynamics of single-lead ECG signals
inferred← citeshttps://doi.org/10.1007/s10586-024-04309-6openalex-snapshot
Bare-bones based honey badger algorithm of CNN for Sleep Apnea detection
inferred← citeshttps://doi.org/10.1007/s10877-011-9323-zopenalex-snapshot
Classification of sleep apnea types using wavelet packet analysis of short-term ECG signals
inferred← citeshttps://doi.org/10.1007/s11045-022-00860-wopenalex-snapshot
A Robust edge detection technique for bone extraction from X-ray images based on image processing techniques
inferred← citeshttps://doi.org/10.1007/s11277-015-2792-5openalex-snapshot
Design and Validation of Android Based Wireless Integrated Device for Ubiquitous Health Monitoring
inferred← citeshttps://doi.org/10.1007/s11325-016-1425-xopenalex-snapshot
Accuracy of a smartphone application in estimating sleep in children
inferred← citeshttps://doi.org/10.1007/s11325-019-01886-4openalex-snapshot
Cascading detection model for prediction of apnea-hypopnea events based on nasal flow and arterial blood oxygen saturation
inferred← citeshttps://doi.org/10.1007/s11325-026-03798-6openalex-snapshot
ECG-based artificial intelligence for obstructive sleep apnea detection: a mechanism-oriented diagnostic meta-analysis
inferred← citeshttps://doi.org/10.1007/s11517-012-1021-6openalex-snapshot
A comprehensive survey of wearable and wireless ECG monitoring systems for older adults
inferred← citeshttps://doi.org/10.1007/s11517-021-02492-xopenalex-snapshot
A Novel Portable Real-Time Low-Cost Sleep Apnea Monitoring System based on the Global System for Mobile Communications (GSM) Network
inferred← citeshttps://doi.org/10.1007/s12145-014-0168-0openalex-snapshot
A stable and accurate wavelet-based method for noise reduction from hyperspectral vegetation spectrum
inferred← citeshttps://doi.org/10.1007/s12559-012-9184-xopenalex-snapshot
Automatic Apnea Identification by Transformation of the Cepstral Domain
inferred← citeshttps://doi.org/10.1007/s12652-018-0787-2openalex-snapshot
OSA-weigher: an automated computational framework for identifying obstructive sleep apnea based on event phase segmentation
inferred← citeshttps://doi.org/10.1007/s13246-023-01346-0openalex-snapshot
Wavelet transform and deep learning-based obstructive sleep apnea detection from single-lead ECG signals
inferred← citeshttps://doi.org/10.1007/s13534-018-0091-2openalex-snapshot
Smart technologies toward sleep monitoring at home
inferred← citeshttps://doi.org/10.1007/s41782-023-00248-1openalex-snapshot
An Artificial Intelligence-Based Approach for Automated Classification of Obstructive Sleep Apnea by Considering Multi-modal Feature Fusion Technique
inferred← citeshttps://doi.org/10.1016/b978-0-12-820045-2.00011-8openalex-snapshot
Clinical trials, real-world evidence, and digital medicine
inferred← citeshttps://doi.org/10.1016/b978-0-443-19073-5.00009-4openalex-snapshot
Artificial intelligence-based obstructive sleep apnea detection using ECG signals
inferred← citeshttps://doi.org/10.1016/b978-0-443-33441-2.00004-5openalex-snapshot
A smart internet of medical things healthcare framework using machine learning classifier in fog processing system
inferred← citeshttps://doi.org/10.1016/j.asoc.2019.105568openalex-snapshot
Towards an accurate sleep apnea detection based on ECG signal: The quintessential of a wise feature selection
inferred← citeshttps://doi.org/10.1016/j.bbe.2015.11.003openalex-snapshot
Computer-aided obstructive sleep apnea screening from single-lead electrocardiogram using statistical and spectral features and bootstrap aggregating
inferred← citeshttps://doi.org/10.1016/j.bbe.2021.02.007openalex-snapshot
A comprehensive survey on low-cost ECG acquisition systems: Advances on design specifications, challenges and future direction
inferred← citeshttps://doi.org/10.1016/j.bea.2025.100159openalex-snapshot
WIVIDOSA-Net: Wigner–Ville distribution based obstructive sleep apnea detection using single lead ECG signal
inferred← citeshttps://doi.org/10.1016/j.bspc.2016.05.009openalex-snapshot
Computer-aided obstructive sleep apnea detection using normal inverse Gaussian parameters and adaptive boosting
inferred← citeshttps://doi.org/10.1016/j.bspc.2017.05.003openalex-snapshot
Reaction time and physiological signals for stress recognition
inferred← citeshttps://doi.org/10.1016/j.bspc.2020.101927openalex-snapshot
Automatic classification of apnea and normal subjects using new features extracted from HRV and ECG-derived respiration signals
inferred← citeshttps://doi.org/10.1016/j.bspc.2021.102685openalex-snapshot
Obstructive sleep apnea screening from unprocessed ECG signals using statistical modelling
inferred← citeshttps://doi.org/10.1016/j.bspc.2021.102906openalex-snapshot
Classification of Obstructive Sleep Apnoea from single-lead ECG signals using convolutional neural and Long Short Term Memory networks
inferred← citeshttps://doi.org/10.1016/j.bspc.2022.104351openalex-snapshot
Automatically detecting apnea-hypopnea snoring signal based on VGG19 + LSTM
inferred← citeshttps://doi.org/10.1016/j.bspc.2022.104401openalex-snapshot
Automatic detection of sleep apnea from single-lead ECG signal using enhanced-deep belief network model
inferred← citeshttps://doi.org/10.1016/j.bspc.2023.104956openalex-snapshot
Obstructive sleep apnea detection with nonlinear analysis of speech
inferred← citeshttps://doi.org/10.1016/j.bspc.2025.107609openalex-snapshot
Automatic identification of obstructive sleep apnea using multimodal features
inferred← citeshttps://doi.org/10.1016/j.bspc.2025.107631openalex-snapshot
Multi-task self-supervised learning framework via contrastive restoration for sleep apnea syndrome detection using single-lead ECG
inferred← citeshttps://doi.org/10.1016/j.cgh.2016.05.009openalex-snapshot
Personalized Technologies in Chronic Gastrointestinal Disorders: Self-monitoring and Remote Sensor Technologies
inferred← citeshttps://doi.org/10.1016/j.cmpb.2019.05.002openalex-snapshot
A RR interval based automated apnea detection approach using residual network
inferred← citeshttps://doi.org/10.1016/j.cmpb.2020.105626openalex-snapshot
Performance evaluation of the spectral autocorrelation function and autoregressive models for automated sleep apnea detection using single-lead ECG signal
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2016.05.006openalex-snapshot
Heterogeneous recurrence analysis of heartbeat dynamics for the identification of sleep apnea events
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2016.08.012openalex-snapshot
An algorithm for sleep apnea detection from single-lead ECG using Hermite basis functions
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2018.06.011openalex-snapshot
Application of an optimal class of antisymmetric wavelet filter banks for obstructive sleep apnea diagnosis using ECG signals
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2018.06.028openalex-snapshot
Real-time apnea-hypopnea event detection during sleep by convolutional neural networks
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2021.104532openalex-snapshot
SCNN: Scalogram-based convolutional neural network to detect obstructive sleep apnea using single-lead electrocardiogram signals
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2022.105211openalex-snapshot
BI - Directional long short-term memory for automatic detection of sleep apnea events based on single channel EEG signal
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2023.107908openalex-snapshot
Pre-Processing techniques and artificial intelligence algorithms for electrocardiogram (ECG) signals analysis: A comprehensive review
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2025.109769openalex-snapshot
Explainable AI-driven scalogram analysis and optimized transfer learning for sleep apnea detection with single-lead electrocardiograms
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111226openalex-snapshot
SmartMatch: A semi-supervised framework for obstructive sleep apnea classification using single-lead electrocardiogram signals with limited annotations
inferred← citeshttps://doi.org/10.1016/j.engappai.2026.114207openalex-snapshot
SPHE-Match: Semi-supervised Prototype-aware Hierarchical Embedding Matching approach for classifying Sleep Apnea events using single-lead Electrocardiogram
inferred← citeshttps://doi.org/10.1016/j.eswa.2021.115950openalex-snapshot
Detection of sleep apnea using Machine learning algorithms based on ECG Signals: A comprehensive systematic review
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.120484openalex-snapshot
Optimization of CNN using modified Honey Badger Algorithm for Sleep Apnea detection
inferred← citeshttps://doi.org/10.1016/j.future.2015.08.008openalex-snapshot
Wiki-Health: From Quantified Self to Self-Understanding
inferred← citeshttps://doi.org/10.1016/j.future.2018.12.001openalex-snapshot
An IoMT cloud-based real time sleep apnea detection scheme by using the SpO2 estimation supported by heart rate variability
inferred← citeshttps://doi.org/10.1016/j.health.2026.100477openalex-snapshot
A leakage-free analytics framework for subject-wise electrocardiogram-based sleep apnea detection using machine learning
inferred← citeshttps://doi.org/10.1016/j.imu.2019.100170openalex-snapshot
A new approach to identify obstructive sleep apnea using an optimal orthogonal wavelet filter bank with ECG signals
inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102697openalex-snapshot
Transformers in biosignal analysis: A review
inferred← citeshttps://doi.org/10.1016/j.jbi.2014.02.015openalex-snapshot
Monitoring Obstructive Sleep Apnea by means of a real-time mobile system based on the automatic extraction of sets of rules through Differential Evolution
inferred← citeshttps://doi.org/10.1016/j.knosys.2020.106591openalex-snapshot
Accurate detection of sleep apnea with long short-term memory network based on RR interval signals
inferred← citeshttps://doi.org/10.1016/j.matt.2025.102086openalex-snapshot
Stretchable organic electrochemical transistors for sustained high-fidelity electrophysiology and deep learning-assisted sleep monitoring
inferred← citeshttps://doi.org/10.1016/j.measurement.2013.03.016openalex-snapshot
Automatic detection of sleep apnea and hypopnea events from single channel measurement of respiration signal employing ensemble binary SVM classifiers
inferred← citeshttps://doi.org/10.1016/j.measurement.2021.110485openalex-snapshot
Sleep apnea detection using electrocardiogram signal input to FAWT and optimize ensemble classifier
inferred← citeshttps://doi.org/10.1016/j.measurement.2022.111787openalex-snapshot
Multi-task feature fusion network for Obstructive Sleep Apnea detection using single-lead ECG signal
inferred← citeshttps://doi.org/10.1016/j.medengphy.2012.01.005openalex-snapshot
Detection of the electrocardiogram fiducial points in the phase space using the euclidian distance measure
inferred← citeshttps://doi.org/10.1016/j.neucom.2013.04.048openalex-snapshot
Building a Cepstrum-HMM kernel for Apnea identification
inferred← citeshttps://doi.org/10.1016/j.neucom.2018.03.011openalex-snapshot
A method to detect sleep apnea based on deep neural network and hidden Markov model using single-lead ECG signal
inferred← citeshttps://doi.org/10.1016/j.neucom.2021.12.001openalex-snapshot
A dual-model deep learning method for sleep apnea detection based on representation learning and temporal dependence
inferred← citeshttps://doi.org/10.1016/j.optlastec.2024.111039openalex-snapshot
Recent advances of ECG monitoring and webserver health monitoring applications: A review
inferred← citeshttps://doi.org/10.1016/j.pmcj.2018.07.007openalex-snapshot
System for monitoring and supporting the treatment of sleep apnea using IoT and big data
inferred← citeshttps://doi.org/10.1016/j.procs.2017.08.265openalex-snapshot
The IoT-based heart disease monitoring system for pervasive healthcare service
inferred← citeshttps://doi.org/10.1016/j.smrv.2018.02.004openalex-snapshot
Devices for home detection of obstructive sleep apnea: A review
inferred← citeshttps://doi.org/10.1038/s41598-025-19833-7openalex-snapshot
Automated OSAHS detection from ECG using temporal convolutional network
inferred← citeshttps://doi.org/10.1057/978-1-349-95173-4_16openalex-snapshot
M-Health and Smartphone Technologies and Their Impact on Patient Care and Empowerment
inferred← citeshttps://doi.org/10.1063/1.4976800openalex-snapshot
3-lead acquisition using single channel ECG device developed on AD8232 analog front end for wireless ECG application
inferred← citeshttps://doi.org/10.1080/17517575.2013.776118openalex-snapshot
Design of a terminal solution for integration of in-home health care devices and services towards the Internet-of-Things
inferred← citeshttps://doi.org/10.1088/0967-3334/33/9/1503openalex-snapshot
Robust classification of neonatal apnoea-related desaturations
inferred← citeshttps://doi.org/10.1088/0967-3334/36/10/2103openalex-snapshot
Probabilistic cardiac and respiratory based classification of sleep and apneic events in subjects with sleep apnea
inferred← citeshttps://doi.org/10.1088/0967-3334/36/9/1963openalex-snapshot
Obstructive sleep apnea detection using spectrum and bispectrum analysis of single-lead ECG signal
inferred← citeshttps://doi.org/10.1088/1361-6579/aae943openalex-snapshot
Efficient sleep classification based on entropy features and a support vector machine classifier
inferred← citeshttps://doi.org/10.1088/1361-6579/accd43openalex-snapshot
RETRACTED: Automatic identifying OSAHS patients and simple snorers based on Gaussian mixture models
inferred← citeshttps://doi.org/10.1088/1742-6596/1801/1/012004openalex-snapshot
Construction of systems for remote monitoring of measurements of medical signal parameters
inferred← citeshttps://doi.org/10.1088/2057-1976/ab68e9openalex-snapshot
Sleep apnea detection from ECG using variational mode decomposition
inferred← citeshttps://doi.org/10.1109/access.2017.2771536openalex-snapshot
Semi-Supervised Deep Blind Compressed Sensing for Analysis and Reconstruction of Biomedical Signals From Compressive Measurements
inferred← citeshttps://doi.org/10.1109/access.2018.2849822openalex-snapshot
A Smart System for Sleep Monitoring by Integrating IoT With Big Data Analytics
inferred← citeshttps://doi.org/10.1109/access.2018.2866049openalex-snapshot
Machine Intelligence in Healthcare and Medical Cyber Physical Systems: A Survey
inferred← citeshttps://doi.org/10.1109/access.2018.2867329openalex-snapshot
A Novel R Peak Detection Method for Mobile Environments
inferred← citeshttps://doi.org/10.1109/access.2020.3036024openalex-snapshot
Classifier Precision Analysis for Sleep Apnea Detection Using ECG Signals
inferred← citeshttps://doi.org/10.1109/access.2021.3081747openalex-snapshot
Hybrid CNN-LSTM Network for Real-Time Apnea-Hypopnea Event Detection Based on IR-UWB Radar
inferred← citeshttps://doi.org/10.1109/access.2022.3201911openalex-snapshot
On the Generalization of Sleep Apnea Detection Methods Based on Heart Rate Variability and Machine Learning
inferred← citeshttps://doi.org/10.1109/access.2023.3327902openalex-snapshot
A Preliminary Study on OSA Severity Levels Detection by Evaluating Speech Signals Nonlinearities With Multi-Class Classification
inferred← citeshttps://doi.org/10.1109/access.2025.3646596openalex-snapshot
FPGA-Optimized Sleep Apnea Detector From ECG Sensor Data Using DWT and Wide Neural Networks
inferred← citeshttps://doi.org/10.1109/acssc.2016.7869657openalex-snapshot
Modeling of oxygen saturation and respiration for sleep apnea detection
inferred← citeshttps://doi.org/10.1109/aeeicb.2016.7538301openalex-snapshot
Detection of sleep apnea through ECG signal features
inferred← citeshttps://doi.org/10.1109/bibe.2016.45openalex-snapshot
Identifying Obstructive Sleep Apnea by Exploiting Fine-Grained BCG Features Based on Event Phase Segmentation
inferred← citeshttps://doi.org/10.1109/bibe50027.2020.00123openalex-snapshot
DeepWave: Non-contact Acoustic Receiver Powered by Deep Learning to Detect Sleep Apnea
inferred← citeshttps://doi.org/10.1109/bibm.2013.6732560openalex-snapshot
Apnea MedAssist II: A smart phone based system for sleep apnea assessment
inferred← citeshttps://doi.org/10.1109/bibm47256.2019.8983201openalex-snapshot
A SVM-Based Algorithm to Diagnose Sleep Apnea
inferred← citeshttps://doi.org/10.1109/biocas.2014.6981645openalex-snapshot
Sleep apnea detection using features from the respiration and the ecg recorded with smart-shirts
inferred← citeshttps://doi.org/10.1109/bmeicon.2016.7859617openalex-snapshot
Canonical correlation analysis for dimensionality reduction of sleep apnea features based on ECG single lead
inferred← citeshttps://doi.org/10.1109/ceee.2015.7428288openalex-snapshot
A comparative study of various classifiers for automated sleep apnea screening based on single-lead electrocardiogram
inferred← citeshttps://doi.org/10.1109/cetic4.2018.8530891openalex-snapshot
Portable and Centralised E-Health Record System for Patient Monitoring Using Internet of Things(IoT)
inferred← citeshttps://doi.org/10.1109/cict.2013.6558237openalex-snapshot
Real time sleep apnea monitor using ECG
inferred← citeshttps://doi.org/10.1109/cse-euc.2017.220openalex-snapshot
Recurrent Neural Network Based Classification of ECG Signal Features for Obstruction of Sleep Apnea Detection
inferred← citeshttps://doi.org/10.1109/eait.2012.6407868openalex-snapshot
Automated detection of apnea and hypopnea events
inferred← citeshttps://doi.org/10.1109/ehb50910.2020.9280302openalex-snapshot
An Experimental Review on Obstructive Sleep Apnea Detection Based on Heart Rate Variability and Machine Learning Techniques
inferred← citeshttps://doi.org/10.1109/embc.2012.6346633openalex-snapshot
Robust artefact detection in long-term ECG recordings based on autocorrelation function similarity and percentile analysis
inferred← citeshttps://doi.org/10.1109/embc.2013.6610678openalex-snapshot
Sleep apnea classification using least-squares support vector machines on single lead ECG
inferred← citeshttps://doi.org/10.1109/healthcom.2012.6379457openalex-snapshot
Sleep Apnea Monitoring using mobile phones
inferred← citeshttps://doi.org/10.1109/healthcom.2013.6720630openalex-snapshot
Detecting Obstructive Sleep Apnea events in a real-time mobile monitoring system through automatically extracted sets of rules
inferred← citeshttps://doi.org/10.1109/healthcom.2014.7001882openalex-snapshot
Pervasive detection of sleep apnea using medical wireless sensor networks
inferred← citeshttps://doi.org/10.1109/healthcom.2016.7749468openalex-snapshot
Sleep apnea detection using a feed-forward neural network on ECG signal
inferred← citeshttps://doi.org/10.1109/icacite57410.2023.10183183openalex-snapshot
Development of a sleep monitoring system using cloud computing and big data techniques
inferred← citeshttps://doi.org/10.1109/icaecc.2014.7002435openalex-snapshot
Implementation of ECG sensor for real time signal processing applications
inferred← citeshttps://doi.org/10.1109/icaml54311.2021.00089openalex-snapshot
Early Warning of Abnormal Sleep Breathing based on Multivariate State Estimation Method and Real-time Dynamic Baseline
inferred← citeshttps://doi.org/10.1109/icassp.2019.8682893openalex-snapshot
Detection of Sleep Apnea/hypopnea Events Using Synchrosqueezed Wavelet Transform
inferred← citeshttps://doi.org/10.1109/icbcb.2019.8854636openalex-snapshot
A Real-Time Algorithm for Sleep Apnea and Hypopnea Detection
inferred← citeshttps://doi.org/10.1109/icbme.2014.7043895openalex-snapshot
Screening of obstructive sleep apnea using higher order statistics of HRV and EDR signals
inferred← citeshttps://doi.org/10.1109/icccnt56998.2023.10308021openalex-snapshot
Recognition of Obstructive Sleep Apnea from a Single Lead Electrocardiogram Signal Using a ResNet Model
inferred← citeshttps://doi.org/10.1109/iceeict.2015.7307522openalex-snapshot
Automatic screening of Obstructive Sleep Apnea from single-lead Electrocardiogram
inferred← citeshttps://doi.org/10.1109/icems.2013.6754415openalex-snapshot
Design and application of the photovoltaic inverter equipment monitoring system on Android platform
inferred← citeshttps://doi.org/10.1109/icgec.2012.66openalex-snapshot
Application of Support Vector Machine for Emotion Classification
inferred← citeshttps://doi.org/10.1109/ichi.2015.116openalex-snapshot
Virtual Sleep Laboratory for Population Health
inferred← citeshttps://doi.org/10.1109/icosec51865.2021.9591864openalex-snapshot
An Electrical Equivalent Model of the Pulmonary Ventilatory System
inferred← citeshttps://doi.org/10.1109/icsc.2017.87openalex-snapshot
Multimodal Classification of Obstructive Sleep Apnea Using Feature Level Fusion
inferred← citeshttps://doi.org/10.1109/icsmd50554.2020.9261669openalex-snapshot
Multi-label Feature Selection for Long-term Electrocardiogram Signals
inferred← citeshttps://doi.org/10.1109/iecbes.2016.7843500openalex-snapshot
Noninvasive monitoring system for early detection of apnea in newborns and infants
inferred← citeshttps://doi.org/10.1109/iemtronics55184.2022.9795832openalex-snapshot
Design of Monitoring System for Respiratory Diagnosis
inferred← citeshttps://doi.org/10.1109/iicspi48186.2019.9096055openalex-snapshot
The Design and Realization of Sleep-monitoring System Based on Body-movement Signals
inferred← citeshttps://doi.org/10.1109/incet51464.2021.9456404openalex-snapshot
KNN Based Sleep Apnea Detection Using ECG Signals
inferred← citeshttps://doi.org/10.1109/incet64471.2025.11140183openalex-snapshot
AI-Powered Sleep Apnea Detection and Monitoring Using Deep Learning on ECG Signals
inferred← citeshttps://doi.org/10.1109/indcon.2012.6420761openalex-snapshot
Selection of features for detection of Obstructive Sleep Apnea events
inferred← citeshttps://doi.org/10.1109/indicon59947.2023.10440951openalex-snapshot
1D Convolutional Neural Network for Obstructive Sleep Apnea Detection
inferred← citeshttps://doi.org/10.1109/intellect55495.2022.9969183openalex-snapshot
Electrocardiograph Based Obstructive Sleep Apnea Diagnoses
inferred← citeshttps://doi.org/10.1109/iri.2013.6642479openalex-snapshot
Automatic extraction of effective rule sets for Obstructive Sleep Apnea detection for a real-time mobile monitoring system
inferred← citeshttps://doi.org/10.1109/iri.2015.57openalex-snapshot
On Finding Explicit Rules for Personalized Forecasting of Obstructive Sleep Apnea Episodes
inferred← citeshttps://doi.org/10.1109/isvlsi.2016.51openalex-snapshot
Low-Power Wearable System for Real-Time Screening of Obstructive Sleep Apnea
inferred← citeshttps://doi.org/10.1109/itime.2012.6291396openalex-snapshot
A phone-based e-health system for OSAS and its energy issue
inferred← citeshttps://doi.org/10.1109/itme.2016.0018openalex-snapshot
A Quality Assessment Method of Single-Lead ECG Signal Based on Spectral Analysis
inferred← citeshttps://doi.org/10.1109/jbhi.2013.2266279openalex-snapshot
On-Line Detection of Apnea/Hypopnea Events Using SpO$_{\bf 2}$ Signal: A Rule-Based Approach Employing Binary Classifier Models
inferred← citeshttps://doi.org/10.1109/jbhi.2013.2267096openalex-snapshot
Pulse Rate Variability Analysis for Discrimination of Sleep-Apnea-Related Decreases in the Amplitude Fluctuations of Pulse Photoplethysmographic Signal in Children
inferred← citeshttps://doi.org/10.1109/jbhi.2013.2292928openalex-snapshot
An Online Sleep Apnea Detection Method Based on Recurrence Quantification Analysis
inferred← citeshttps://doi.org/10.1109/jbhi.2014.2311325openalex-snapshot
An Automatic Rules Extraction Approach to Support OSA Events Detection in an mHealth System
inferred← citeshttps://doi.org/10.1109/jbhi.2014.2325997openalex-snapshot
Automated Detection of Sleep Apnea and Hypopnea Events Based on Robust Airflow Envelope Tracking in the Presence of Breathing Artifacts
inferred← citeshttps://doi.org/10.1109/jbhi.2016.2636778openalex-snapshot
Sleep Apnea Detection Based on Thoracic and Abdominal Movement Signals of Wearable Piezoelectric Bands
inferred← citeshttps://doi.org/10.1109/jbhi.2017.2740120openalex-snapshot
Cardiorespiratory Model-Based Data-Driven Approach for Sleep Apnea Detection
inferred← citeshttps://doi.org/10.1109/jbhi.2017.2784415openalex-snapshot
Frequency Network Analysis of Heart Rate Variability for Obstructive Apnea Patient Detection
inferred← citeshttps://doi.org/10.1109/jbhi.2018.2842919openalex-snapshot
Automatic Detection of Obstructive Sleep Apnea Using Wavelet Transform and Entropy-Based Features From Single-Lead ECG Signal
inferred← citeshttps://doi.org/10.1109/jbhi.2018.2886064openalex-snapshot
Automated Sleep Apnea Detection in Raw Respiratory Signals Using Long Short-Term Memory Neural Networks
inferred← citeshttps://doi.org/10.1109/jbhi.2022.3199454openalex-snapshot
Achieving Accurate Automatic Sleep Apnea/Hypopnea Syndrome Assessment Using Nasal Pressure Signal
inferred← citeshttps://doi.org/10.1109/jbhi.2023.3267087openalex-snapshot
SLEEP-SEE-THROUGH: Explainable Deep Learning for Sleep Event Detection and Quantification From Wearable Somnography
inferred← citeshttps://doi.org/10.1109/jflex.2025.3610362openalex-snapshot
An ECG Monitoring System Using SAR ADC on Flexible Foil With Oxide TFT Technology
inferred← citeshttps://doi.org/10.1109/jsen.2014.2377775openalex-snapshot
Cross-Spectrum Analysis-Based Scheme for Multiple Power Quality Disturbance Sensing Device
inferred← citeshttps://doi.org/10.1109/jsen.2015.2450773openalex-snapshot
Novel Real-Time Low-Complexity QRS Complex Detector Based on Adaptive Thresholding
inferred← citeshttps://doi.org/10.1109/jsen.2017.2690805openalex-snapshot
Real-Time Classification of Healthy and Apnea Subjects Using ECG Signals With Variational Mode Decomposition
inferred← citeshttps://doi.org/10.1109/jsen.2024.3367776openalex-snapshot
Multiresolution Assessment of ECG Sensor Data for Sleep Apnea Detection Using Wide Neural Network
inferred← citeshttps://doi.org/10.1109/memea.2019.8802214openalex-snapshot
Apnea Event Detection Methodology using Pressure Sensors
inferred← citeshttps://doi.org/10.1109/mmm.2013.2296213openalex-snapshot
Handheld Computers: Smartphone-Centric Wireless Applications
inferred← citeshttps://doi.org/10.1109/mwscas67364.2026.11680800openalex-snapshot
Wearable Edge AI System for Real-Time Obstructive Sleep Apnea Detection and Severity Classification
inferred← citeshttps://doi.org/10.1109/pht.2013.6461280openalex-snapshot
Adaptive classification system for real-time detection of apnea and hypopnea events
inferred← citeshttps://doi.org/10.1109/rbme.2013.2243724openalex-snapshot
Implementation of Artifact Detection in Critical Care: A Methodological Review
inferred← citeshttps://doi.org/10.1109/rcar54675.2022.9872275openalex-snapshot
Topological Heart Rate Variability Dynamics Analysis toward Sleep Apnea Detection with Persistent Shannon Entropy
inferred← citeshttps://doi.org/10.1109/sceecs68810.2026.11430153openalex-snapshot
Automatic Sleep Apnea Detection Using 1D CNNBiLSTM on Single-Lead ECG Signals
inferred← citeshttps://doi.org/10.1109/tbcas.2018.2824659openalex-snapshot
Online Obstructive Sleep Apnea Detection on Medical Wearable Sensors
inferred← citeshttps://doi.org/10.1109/tbcas.2020.2974154openalex-snapshot
A Review of Algorithm & Hardware Design for AI-Based Biomedical Applications
inferred← citeshttps://doi.org/10.1109/tbme.2013.2282337openalex-snapshot
Real-Time Adaptive Apnea and Hypopnea Event Detection Methodology for Portable Sleep Apnea Monitoring Devices
inferred← citeshttps://doi.org/10.1109/tbme.2015.2422378openalex-snapshot
A Novel Algorithm for the Automatic Detection of Sleep Apnea From Single-Lead ECG
inferred← citeshttps://doi.org/10.1109/tbme.2015.2498199openalex-snapshot
An Obstructive Sleep Apnea Detection Approach Using a Discriminative Hidden Markov Model From ECG Signals
inferred← citeshttps://doi.org/10.1109/tbme.2021.3136753openalex-snapshot
Automated Scoring of Respiratory Events in Sleep With a Single Effort Belt and Deep Neural Networks
inferred← citeshttps://doi.org/10.1109/tbme.2025.3597083openalex-snapshot
Hybrid Residual Neural Network for Obstructive Sleep Apnea Detection Using ECG Scalogram
inferred← citeshttps://doi.org/10.1109/tdei.2016.005616openalex-snapshot
Cross-spectrum analysis based methodology for discrimination and localization of partial discharge sources using acoustic sensors
inferred← citeshttps://doi.org/10.1109/tim.2020.3017246openalex-snapshot
A Sleep Apnea Detection Method Based on Unsupervised Feature Learning and Single-Lead Electrocardiogram
inferred← citeshttps://doi.org/10.1109/tim.2021.3062414openalex-snapshot
Multiscale Deep Neural Network for Obstructive Sleep Apnea Detection Using RR Interval From Single-Lead ECG Signal
inferred← citeshttps://doi.org/10.1109/tim.2021.3077667openalex-snapshot
Multi-Label Classification of Arrhythmia for Long-Term Electrocardiogram Signals With Feature Learning
inferred← citeshttps://doi.org/10.1109/tim.2021.3132072openalex-snapshot
OSACN-Net: Automated Classification of Sleep Apnea Using Deep Learning Model and Smoothed Gabor Spectrograms of ECG Signal
inferred← citeshttps://doi.org/10.1109/tim.2022.3205644openalex-snapshot
Collaborative Three-Tier Architecture Noncontact Respiratory Rate Monitoring Using Target Tracking and False Peaks Eliminating Algorithms
inferred← citeshttps://doi.org/10.1109/tim.2023.3279880openalex-snapshot
An Optimized Hardware Inference of SABiNN: Shift-Accumulate Binarized Neural Network for Sleep Apnea Detection
inferred← citeshttps://doi.org/10.1109/titb.2012.2188299openalex-snapshot
Real-Time Sleep Apnea Detection by Classifier Combination
inferred← citeshttps://doi.org/10.1109/tmc.2022.3214721openalex-snapshot
Contactless Electrocardiogram Monitoring With Millimeter Wave Radar
inferred← citeshttps://doi.org/10.1109/uemcon51285.2020.9298041openalex-snapshot
SAS Mobile Application for Diagnosis of Obstructive Sleep Apnea Utilizing Machine Learning Models
inferred← citeshttps://doi.org/10.1136/bmjinnov-2015-000087openalex-snapshot
The alcohol tracker application: an initial evaluation of user preferences
inferred← citeshttps://doi.org/10.1142/s0219519416400042openalex-snapshot
A REVIEW OF ECG-BASED DIAGNOSIS SUPPORT SYSTEMS FOR OBSTRUCTIVE SLEEP APNEA
inferred← citeshttps://doi.org/10.1142/s0219519426400099openalex-snapshot
LAD-TCNM: A DEEP LEARNING MODEL FOR WEARABLE ECG-BASED SLEEP APNEA DETECTION
inferred← citeshttps://doi.org/10.1145/2971648.2971666openalex-snapshot
Domain adaptation methods for improving lab-to-field generalization of cocaine detection using wearable ECG
inferred← citeshttps://doi.org/10.1145/3274783.3275159openalex-snapshot
Breathing Disorder Detection Using Wearable Electrocardiogram And Oxygen Saturation
showing the first 200 of 284 · page through all 284
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.