Real-time sleep apnea detection by classifier combination

Cited by (293)

Items 201–293 of 293

1. A Dirichlet Process Mixture Model for Autonomous Sleep Apnea Detection using Oxygen Saturation Data
   Zhenglin Li, Mahnaz Arvaneh, Heather Elphick, Ruth N. Kingshott, Lyudmila S. Mihaylova · 2020 · International Conference on Information Fusion (FUSION)
2. A New Approach for Identifying Patients with Obstructive Sleep Apnea Using K-Nearest Neighbor Classification
   Shahrokh Norouzi Sani · 2021 · E-Health and Bioengineering Conference (EHB)
3. Classification of Sleep Apnea using ECG-Signal Sequency Ordered Hadamard Transform Features
   Padmavathi Kora, Ambika Annavarapu, Priyanka Yadlapalli, Nagaja Katragadda · 2016 · International Journal of Computer Applications
4. Lightweight cosine convolution network for sleep apnea detection with single-lead ECG
   Rui Zhang, Kehao Zheng, Yong Wang, Weidong Zhou, Tian Lan, Guoyang Liu · 2025 · Neurocomputing
5. Automatic Home-based Screening of Obstructive Sleep Apnea using Single Channel Electrocardiogram and SPO2 Signals
   Hosna Ghandeharioun · 2021 · International Journal of Artificial Intelligence & Applications
6. Obstructive Sleep Apnea Detection from ECG Signals with Deep Learning
   J. Anu Shilvya, P. Subha Hency Jose · 2023 · International Conference on Sustainable Computing and Smart Systems (ICSCSS)
7. Multiscale Attention Entropy (MSAE) of Overnight Pulse Oximetry for Assessing Sleep Apnea
   Zilu Liang · 2023 · International Conference on Medical and Health Informatics (ICMHI)
8. Apnoea detection using ECG signal based on machine learning classifiers and its performances
   Rolant Gini J, K. S. Dhanalakshmi · 2023 · Journal of Medical Engineering & Technology
9. An ANN-Based Detection of Obstructive Sleep Apnea from Simultaneous ECG and SpO2 Recordings
   Meghna Punjabi, Sapna Prabhu · 2019 · Lecture notes in computational vision and biomechanics
10. Classification of Sleep Apnea with Artificial Intelligence
    少杰 张 · 2020 · Biophysics
11. Detecting Obstructive Sleep Apnea events in a real-time mobile monitoring system through automatically extracted sets of rules
    Giovanna Sannino, Ivanoe De Falco, Giuseppe De Pietro · 2013 · IEEE International Conference on e-Health Networking, Applications and Services (Healthcom)
12. Model-based data-driven approach for sleep apnea detection
    Sandeep Gutta, Qi Cheng, Hoa Dinh Nguyen, Bruce Benjamin · 2016
13. Various Methods for Identification of Obstructive Sleep Apnea Using Electrocardiogram Features
    Remalli Rohan, D. Santhosh Kumar, Srinivasa Rao Patri · 2020 · Journal of scientific research
14. Review on Obstructive Sleep Apnea Detection using ECG Signals
    Anu Shilvya J, P. Subha Hency Jose · 2022 · International Conference on Smart Systems and Inventive Technology (ICSSIT)
15. Lung Mechanics Tracking With Forced Oscillation Technique (FOT) Based on CMOS Synchronous Demodulation Principle
    Karama M. Al-Tamimi, Gregory Begin, Hamed Hanafi Alamdari, Tobias Witter, Kamal El‐Sankary · 2022 · IEEE Transactions on Biomedical Circuits and Systems
16. NCH Sleep DataBank
    National Sleep Research Resource · 2021 · arXiv (Cornell University)
17. Automatic detection of respiratory events during sleep from Polysomnography data using Layered Hidden Markov Model
    Azadeh Sadoughi, Mohammad Bagher Shamsollahi, Emad Fatemizadeh · 2021 · Physiological Measurement
18. Detection and Classification of Obstructive Sleep Apnea Disorders: A Comparative Analysis of Various Deep Machine Learning Classifiers
    Madhavi Kemidi, Diwakar R. Marur, Venkata Krishna Reddy Chantigari · 2023 · Revue d intelligence artificielle
19. Combining Heart Rate Variability and Oximetry to Improve Apneic Event Screening in Non-Desaturating Patients
    Martín González, Antonio Gabriel Ravelo-García, Juan Luis Navarro-Mesa, Eduardo Hernández-Pérez · 2023 · Sensors
20. Deneyap kart kullanarak pozisyonel uyku apnesi tespiti ve IoT uygulaması
    Harun Sümbül · 2023 · Gümüşhane Üniversitesi Fen Bilimleri Enstitüsü Dergisi
21. Obstructive Sleep Apnea Syndrome Identification Using CNN-LSTM Hybrid Model
    Prasanna Kulkarni · 2024 · Journal of Electrical Systems
22. Obstructive Sleep Apnea OSA detection through esophageal Pressure Pes
    Ghada Ben Salah, Karim Abbes, Chokri Abdelmoula, Mohamed Hedi Abdelmoula, Mohamed Turki, Mohamed Masmoudi · 2019 · IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS)
23. Combination of Multiple Classification Results Based on K-Class Alpha Integration
    Gonzalo Safont, Addisson Salazar, Luis Vergara · 2019 · Lecture notes in computer science
24. Feature Selection for Obstructive Sleep Apnea Recognition
    Mustafa Sert · 2019 · Bilişim Teknolojileri Dergisi
25. Apneic Events Detection Using Different Features of Airflow Signals
    Fatma Zehra GÖĞÜŞ, Gülay Tezel · 2019 · Mehran University Research Journal of Engineering and Technology
26. Online Obstructive Sleep Apnea Detection Based on Hybrid Machine Learning and Classifier Combination for Home-Based Applications
    Hosna Ghandeharioun · 2021
27. Obstructive sleep apnea screening with breathing sounds and respiratory effort: a multimodal deep learning approach
    Hector E. Romero, Ning Ma, Guy J. Brown, Sam R. Johnson · 2023 · Interspeech (USB)
28. A New Method for Detecting Sleep Apnea
    Xin Xiong, Yaru Zhang, Yi Sanli, Chunwu Wang, Liu Ruixiang, Jianfeng He · 2022 · Research Square
29. Obstructive Sleep Apnea Prediction: A Comprehensive Review and Comparative Study
    Huynh Thi Khanh Chi, Amonae Dabbs‐Brown, Anna Jurek, James Mulhall, Tuan Dung Pham, Ngoc Phu Doan, Viet Hung Tran, Zichi Zhang, Xuan Hoang Nguyen, Yimeng An et al. · 2026 · Machine Learning
30. Discrete Wavelet Transform-Based Method for Automatic Evaluation of Sleep-Disordered Breathing Using Photoplethysmography
    Hyo-Ki Lee, 허일강, Seongsoo Yang, Kyoung-Joung Lee · 2014 · International Conference on Intelligent Systems, Modelling and Simulation
31. Automatic extraction of effective rule sets for Obstructive Sleep Apnea detection for a real-time mobile monitoring system
    Giovanna Sannino, Ivanoe De Falco, Giuseppe De Pietro · 2013 · IEEE International Conference on Information Reuse and Integration (IRI)
32. IDENTIFICATION OF OBSTRUCTIVE SLEEP APNEA THROUGH SpO2 AND ECG SIGNAL FEATURES BY USING AN EFFICIENT NEURAL NETWORK SYSTEM
    Ms.Dolypona Das, Vedanarayanan Vedanarayanan · 2013 · International journal of advanced research in computer science and electronics engineering
33. Phone-Based Energy-Efficient OSAS Monitoring System
    Gao Ruipeng, Yang Li-Qiong, Xinyu Wu, Tao Wang, Songwu Lu, Fang Han, Wu Xy, Han F. Phone-Based · 2012
34. Towards a Cognitive System for the Identification of Sleep Disorders
    Antonio Coronato, Giovanni Paragliola · 2017 · Smart innovation, systems and technologies
35. Leveraging multimodal and feature selection approaches to improve sleep apnea classification performance
    Gökhan Memiş, Mustafa Sert, Adnan Yazıcı · 2017 · Signal Processing and Communications Applications Conference (SIU)
36. A minimally invasive portable system for sleep apnea detection
    Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado‐Dias, Juan Luis Navarro-Mesa, Gabriel Juliá-Serdà, Antonio Gabriel Ravelo-García · 2017 · IEEE International Work Conference on Bioinspired Intelligence (IWOBI)
37. My Health Sensor, My Classifier – Adapting a Trained Classifier to Unlabeled End-User Data
    Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel, Knut Liestøl, Mohan Kankanhalli, Gunn Marit Traaen, Britt Øverland, Harriet Akre, Lars Aakerøy et al. · 2022 · ACM Transactions on Computing for Healthcare
38. A Comprehensive Analysis on the Efficient Mechanisms to Detect Obstructive Sleep Apnea Using AI and Heuristic Algorithms
    Jayit Saha, Ishita Dasgupta, G. Malathi, Rajkumar Murugesan · 2021 · International Journal of Current Research and Review
39. Diagnosis of sleep disorders in optimized time slot based machine learning techniques on EEG energy level patterns
    Shivam Tiwari, Deepak Arora · 2021 · Materials Today Proceedings
40. An Overview of Health Monitoring Systems for Arrhythmia Patients
    Saoueb Kerdoudi, Larbi Guezouli, Tahar Dilekh · 2022 · Lecture notes in networks and systems
41. CNN-LSTM Based Approach for Sleep Apnea Detection
    Nakul Saroha, Mihir Aryan, Mayank Kumar Singh, Anurag Goel · 2023 · International Conference on Information Systems and Computer Networks (ISCON)
42. Automatic Analysis of Sleep Apnea using DNN andHRV features
    Bipasha Patnaik, Santanu Kumar Sahoo · 2022 · IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)
43. Detection of Obstructive Sleep Apnea Based on ECG System Dynamics, Hybrid Signal Processing and Neural Networks
    Tianyi Li, Wei Zeng, Liangmin Shan, Yang Chen, Chengzhi Yuan · 2023 · Chinese Control Conference (CCC)
44. Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals
    A. R. Troncoso-García, M. Martínez-Ballesteros, Francisco Martinez Alvarez, Alicia Troncoso · 2023 · Lecture notes in computer science
45. Real-Time Obstructive Sleep Apnea Detection from Raw ECG and SpO2 Signal Using Convolutional Neural Network.
    Tanmoy Paul, Omiya Hassan, SYED KAMRUL ISLAM, Abu Saleh Mohammad Mosa · 2024 · PubMed Central
46. New Intelligent-based Approach for the Early Detection of Disorders: Use on Rhinological Data
    Alina S. Nechyporenko · 2017 · International Journal of Image Graphics and Signal Processing
47. Classification of Sleep Apnea by Photoplethysmography Signal
    Mehmet Feyzi Akşahin, Büşra Kübra Karaca, Burcu Oltu · 2018 · Medical Technologies Congress (TIPTEKNO)
48. Comparison of Linear and Non-linear Dimension Reduction Techniques for Automatic Apnea Detection
    Martin Bartoň, Vlastimil Koudelka, Václava Piorecká, Jitka Bušková, Vladimı́r Krajča · 2019 · E-Health and Bioengineering Conference (EHB)
49. Classification and Diagnosis of Sleep Apnea and Congestive Heart Failure Using DWT Based Statistical Features: An Extensive Study
    N Sri Sai Krishna Suraj, Vineeth Muppalla, Yashwanth Vyza, D. Suman · 2018 · IEEE India Conference
50. Sleep Disorder Diagnosis through Frequency based EEG Energy Level Patterns
    Shivam Tiwari · 2020 · International Journal of Advanced Trends in Computer Science and Engineering
51. Analysis of Sleep Apnea Considering Biosignals from Peripheral Capillary Oxygen Saturation Level and Electrocardiogram Data
    Senthilnathan Ramasubbu, R. Vijaya Lakshmi, S. Lakshmi Priya, R. Prakash, A. Balaji Ganesh, A. Lakshmi Sangeetha, Senthil Kumar Thangavel · 2021 · Advances in intelligent systems and computing
52. Sleep Monitoring in Adults Using Wearables and Unobtrusive Technology
    Margot Deviaene, Dorien Huysmans, Ivan Dario Castro, Pascal Borzée, Dries Testelmans, Bertien Buyse, Sabine Van Huffel, Carolina Varon · 2021 · Springer eBooks
53. Developmental Strategies in Diagnosing Obstructive Sleep Apnea
    V. Santhiya, Tamilselvan Ravichandran, G. Yamuna, K. Harini · 2020 · International Journal of Engineering and Advanced Technology
54. Electrocardiograph Based Obstructive Sleep Apnea Diagnoses
    Muhammad Jawad Ghafoor, Sajid Ahmed, Kashif Riaz · 2022 · International Conference on Latest Trends in Electrical Engineering and Computing Technologies (INTELLECT)
55. Advances in Machine Learning
    2021
56. Peer Review #1 of "Sleep apnea detection from a single-lead ECG signal with automatic feature-extraction through a modified LeNet-5 convolutional neural network (v0.1)"
    2019 · PeerJ
57. A Monitoring System for the Recognition of Sleeping Disorders in Patients with Cognitive Impairment Disease
    Antonio Coronato, Giovanni Paragliola · 2015 · Smart innovation, systems and technologies
58. Classification of Sleep Apnea Types Using Clustering with SVM Classifier
    Faiza Charfi, Ali Kraiem · 2012 · International Journal of Biomedical and Clinical Engineering
59. Accurate method for home-based diagnosis of obstructive
    Hosna Ghandeharioun, Reza Lotfi · 2016
60. Accurate method for home-based diagnosis of obstructive sleep apnea: a review
    Hosna Ghandeharioun, Fariborz Rezaeitalab, Reza Lotfi · 2016 · DOAJ (DOAJ: Directory of Open Access Journals)
61. A Novel Technique to Improve ECG Signal using SVM
    Pratima Verma, Divya Guatam · 2017 · International Journal of Advanced Research in Computer Science and Software Engineering
62. Detect and investigation of upperairways by using region on growing segmentation during sleep
    Venkat Namdev Ghodke, Pratima Gosavi · 2017 · 2017 2nd International Conference on Telecommunication and Networks (TEL-NET)
63. Optimising the Apnoea Classification Performance of a Neural Network Classifier Processing ECG-Oximetry Signals
    Philip de Chazal, Madhuka Jayawardhana, Nadi Sadr · 2018 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
64. Heart diseases diagnosis using artificial neural networks
    Mashail Alsalamah · 2017 · Coventry University Open Collections (Coventry university)
65. Sleep Apnea Event Detection System Based on Heart Rate Variability Analysis
    Chen Wei Sia, Mohamed Khalil-Hani, Nasir Shaikh-Husin, Khang Hua Boon · 2019 · Lecture notes in electrical engineering
66. Peer Review #2 of "Sleep apnea detection from a single-lead ECG signal with automatic feature-extraction through a modified LeNet-5 convolutional neural network (v0.2)"
    2019 · PeerJ
67. Peer Review #2 of "Sleep apnea detection from a single-lead ECG signal with automatic feature-extraction through a modified LeNet-5 convolutional neural network (v0.1)"
    2019 · PeerJ
68. Health Detection Scheme for Drunk Drivers
    Chun Sing Lai, Loi Lei Lai, Qi Hong Lai · 2020 · Springer eBooks
69. An efficient design for real-time obstructive sleep apnea OSA detection through esophageal pressure Pes signal
    Ghada Ben Salah, Karim Abbes, Chokri Abdelmoula, Baligh Naji, Mohamed Masmoudi, Mohamed Hedi Abdelmoula, Mohamed Turki · 2021 · Biomedizinische Technik/Biomedical Engineering
70. Investigations on ECG Signals for Deriving Respiratory Signal and Sleep Apnea Detection
    Hemant Kumar Sharma · 2017
71. Power Spectrum Estimation-Based Narcolepsy Diagnosis with Sleep Time Slot Optimization
    Shivam Tiwari, Deepak Arora, Puneet Sharma, Barkha Bhardwaj · 2021 · Advances in intelligent systems and computing
72. Diseño y evaluación de metodologías de análisis automático de la oximetría nocturna como método simplificado de detección del síndrome de apnea-hipopnea obstructiva del sueño en niños. Validación en el hospital y en el domicilio.
    Andrea Crespo Senado · 2019
73. An Electrical Equivalent Model of the Pulmonary Ventilatory System
    Bijoy Laxmi Koley · 2021 · International Conference on Smart Electronics and Communication (ICOSEC)
74. Data Segmentation Effects on Oxygen in Blood Sleep Apnea Detection CNN-based Model
    Tharit Wichiankoo, Sangsuree Vasupongayya, Suthon Sae-Wong, Krongthong Tawaranurak, Sinchai Kamolphiwong, Thossaporn Kamolphiwong · 2021 · International Computer Science and Engineering Conference
75. A Minimally Invasive Portable System for Sleep Apnea Detection
    Fabio Mendonca, Sheikh Shanawaz Mostafa, Fernando Morgado‐Dias, Juan Luis Navarro-Mesa, Gabriel Juliá-Serdà, Antonio Gabriel Ravelo-García · 2017 · IEEE International Work Conference on Bioinspired Intelligence (IWOBI)
76. Criteria Decision Analysis Based Cardiovascular Diseases Classifier for Drunk Driver Detection
    Chun Sing Lai, Loi Lei Lai, Qi Hong Lai · 2022
77. An expert approach to sleep analysis in Iraqi obstructive sleep apnoea patients
    Hind Ali. Khudair, Hassanain Ali Lafta · 2023 · AIP conference proceedings
78. PECULIARITIES OF USING THE EMD ALGORITHM TO ESTIMATE THE LEVEL OF OXYGEN IN THE BLOOD
    Oleh Boloban, Anatolii I. Petrenko · 2023 · Scientific notes of Taurida National V I Vernadsky University Series Technical Sciences
79. Developing Probabilistic Ensemble Machine Learning Models for Home-Based Sleep Apnea Screening using Overnight SpO2 Data at Varying Data Granularity
    Zilu Liang · 2024 · Research Square
80. Developing Probabilistic Ensemble Machine Learning Models for Home-Based Sleep Apnea Screening using Overnight SpO2 Data at Varying Data Granularity
    Zilu Liang · 2024 · Research Square
81. SEHPNet: Spectrally enhanced hierarchical patch network for sleep disorder evaluation via respiratory signals
    Yupeng Ye, Zhiguo Jiang, Li Shen, Zou Lai, Fried-Michael Dahlweid, Hong Sun, Xianchao Zhang · 2025 · Biomedical Signal Processing and Control
82. Enhancing Sleep Disorder Prediction Using Hybrid Approach with PSO and Machine Learning
    Mubashir Khan, Yashpal Singh, Harshit Bhardwaj · 2025 · Lecture notes in networks and systems
83. Additional file 1 of EfficientNet-based machine learning architecture for sleep apnea identification in clinical single-lead ECG signal data sets
    Liu, Meng-Hsuan, Chien, Shang-Yu, Wu, Ya-Lun, Sun, Ting-Hsuan, 黃春森, Hsu, Kai-Cheng, Hang, Liang-Wen · 2024 · Figshare
84. A Survey of Fusion Frameworks and Algorithms for Physiological Monitoring
    Arlene John, Barry Cardiff, Deepu John · 2026 · Springer eBooks
85. Feature Based ANN Model for Sleep Apnea Detection
    A. M. Hima Vyshnavi, Gopika P · 2025 · International Conference on Applied Artificial Intelligence and Computing (ICAAIC)
86. CM 2 FA: Cross-Modal Masked Fusion with Fine-Grained Attention for AHI-Level OSA Diagnosis Using ECG and SPO2
    Xiang Chen, Chenyang Li, Jian Guan, Shankai Yin · 2025 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
87. Advancements in Non-Invasive Sleep Apnea Detection: A Comprehensive Survey of Machine Learning and Computing Approaches for OSAS Diagnosis
    J Jayadeep, Christina Terese Joseph, John Paul Martin · 2025 · International Conference on Intelligent Computing and Systems at the Edge (ICEdge)
88. Machine Learning-Based Sleep Apnea Pre-Screening Using a Low-Cost Wearable in Thailand
    Kristina Thapa, Chutiporn Anutariya, Aekavute Sujarae, James Tisyakorn, Chatkarin Tepwimonpetkun · 2026 · International Journal of E-Health and Medical Communications
89. Conception et développement d'un dispositif médical multimodal innovant pour le dépistage du Syndrome d'Apnées du Sommeil (SAS)
    Aurélien Bricout · 2020
90. Cardiovascular Disease, Sleep-Disordered Breathing, and Artificial Intelligence: From Neutral Trials to Precision Sleep Cardiology
    Zhihua Huang, Jingjing Xiang, Zhihui Zhao, Qing Zhao, Anqi Duan, Zhaohong Sun, Lisheng Xu, Wenzhen Yao, Wenyu Zhang, Qi Wang et al. · 2026 · Reviews in Cardiovascular Medicine
91. Automatic Sleep Apnea Detection System Using ECG Signals
    Md ShamShad Alam, Mohd. Hasan, Omar Farooq · 2026 · Communications in computer and information science
92. ECG-based artificial intelligence for obstructive sleep apnea detection: a mechanism-oriented diagnostic meta-analysis
    Ayşe BULUT, Ömer Engin Bulut · 2026 · Sleep And Breathing
93. A Dual-Channel CBFA Network for Sleep Respiratory Event Detection Using SpO2 and Nasal Airflow
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