Real-time sleep apnea detection by classifier combination

Cited by (293)

Items 101–200 of 293

1. AI vs Humans for the diagnosis of sleep apnea
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2. SomnNET: An SpO2 Based Deep Learning Network for Sleep Apnea Detection in Smartwatches
   Arlene John, Kaushik Kumar Nundy, Barry Cardiff, Deepu John · 2021 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
3. In obstructive sleep apnea patients, automatic determination of respiratory arrests by photoplethysmography signal and heart rate variability
   Mehmet Recep Bozkurt, Muhammed Kürşad Uçar, Ferda Bozkurt, Cahit Bílgín · 2019 · Australasian Physical & Engineering Sciences in Medicine
4. Classification of ECG signals using multi-cumulants based evolutionary hybrid classifier
   Sahil Dalal, Virendra Prasad Vishwakarma · 2021 · Scientific Reports
5. Sleep apnea detection using a feed-forward neural network on ECG signal
   Andre Miguel da Silva Pinho, Nuno Gonçalo Coelho Costa Pombo, Nuno M. García · 2016 · IEEE International Conference on e-Health Networking, Applications and Services (Healthcom)
6. Detection of sleep apnea events using electroencephalogram signals
   Sachin Taran, Varun Bajaj, Ganesh Ram Sinha, Kemal Polat · 2021 · Applied Acoustics
7. Detection of apnoea from respiratory time series data using clinically recognizable features and kNN classification
   Anirudh Thommandram, Johan Eklund, Carolyn McGregor · 2013 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
8. Automatic detection of sleep apnea from a single-lead ECG signal based on spiking neural network model
   Praveen Kumar Tyagi, Dheeraj Agrawal · 2024 · Computers in Biology and Medicine
9. Detection and Prediction of Sleep Disorders by Covert Bed-Integrated RF Sensors
   Zijing Zhang, Thomas B. Conroy, Ana C. Krieger, Edwin Chih-Chuan Kan · 2022 · IEEE Transactions on Biomedical Engineering
10. EfficientNet-based machine learning architecture for sleep apnea identification in clinical single-lead ECG signal data sets
    Meng-Hsuan Liu, Shang-Yu Chien, Ya-Lun Wu, Ting-Hsuan Sun, Chun-Sen Huang, Kai-Cheng Hsu, Liang‐Wen Hang · 2024 · BioMedical Engineering OnLine
11. Identification of Sleep Apnea from Single-Lead Electrocardiogram
    Ahnaf Rashik Hassan, Md. Aynal Haque · 2016 · IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC)
12. A comparison of three ECG-derived respiration methods for sleep apnoea detection
    Nadi Sadr, Philip de Chazal · 2019 · Biomedical Physics & Engineering Express
13. Detection of Obstructive Sleep Apnea from ECG Signal Using SVM Based Grid Search
    K.K. Valavan, Sreenand Manoj, S Abishek, T Vijay, A.P. Vojaswwin, Rolant Gini J, K.I. Ramachandran · 2021 · International Journal of Electronics and Telecommunications
14. Development of a Minimally Invasive Screening Tool to Identify Obese Pediatric Population at Risk of Obstructive Sleep Apnea/Hypopnea Syndrome
    José Miguel Calderón, Julio Álvarez‐Pitti, Irene Cuenca Ortolá, Francisco Ponce, Pau Redón · 2020 · Bioengineering
15. A Review on Automated Sleep Study
    Mehran Yazdi, Mahdi Samaee, Daniel Massicotte · 2024 · Annals of Biomedical Engineering
16. Automated detection of sleep apnea in infants: A multi-modal approach
    Gregory Cohen, Philip de Chazal · 2015 · Computers in Biology and Medicine
17. Obstructive sleep apnea screening from unprocessed ECG signals using statistical modelling
    Maryam Faal, Farshad Almasganj · 2021 · Biomedical Signal Processing and Control
18. SleepNet: automated sleep analysis via dense convolutional neural network using physiological time series
    Bahareh Pourbabaee, Matthew Howe-Patterson, Matthew Patterson, F Benard · 2019 · Physiological Measurement
19. Greedy based convolutional neural network optimization for detecting apnea
    Sheikh Shanawaz Mostafa, Darío Baptista, Antonio Gabriel Ravelo-García, Gabriel Juliá-Serdà, Fernando Morgado‐Dias · 2020 · Computer Methods and Programs in Biomedicine
20. Computerized obstructive sleep apnea diagnosis from single-lead ECG signals using dual-tree complex wavelet transform
    Ahnaf Rashik Hassan, Syed Khairul Bashar, Mohammed Imamul Hassan Bhuiyan · 2017 · IEEE Region Humanitarian Technology Conference
21. A portable wireless device based on oximetry for sleep apnea detection
    Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado‐Dias, Juan Luis Navarro-Mesa, Gabriel Juliá-Serdà, Antonio Gabriel Ravelo-García · 2018 · Computing
22. The role of telemedicine in obstructive sleep apnea management
    Vera M. Lugo, Jair A. Villanueva, Onintza Garmendia, Josep Maria Montserrat · 2017 · Expert Review of Respiratory Medicine
23. Data Mining for Patient Friendly Apnea Detection
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24. Artificial intelligence and sleep medicine II: A scoping review of applications, advancements, and future directions
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25. Automatic apnea-hypopnea events detection using an alternative sensor
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26. Accelerometry-derived respiratory index estimating apnea-hypopnea index for sleep apnea screening
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27. Detection and Severity Classification of Sleep Apnea Using Continuous Wearable SpO2 Signals: A Multi-Scale Feature Approach
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28. Detection of Obstructive Sleep Apnea Using Non-Negative Matrix Factorization-Based Feature Extraction Approach in Eigen Spectrum Domain
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29. A Speedy Cardiovascular Diseases Classifier Using Multiple Criteria Decision Analysis
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30. Automated Detection of Sleep Disorder-Related Events from Polysomnographic Data
    Hugo Espiritu, Vangelis Metsis · 2015 · IEEE International Conference on Healthcare Informatics (ICHI)
31. A review on multi-sensor data fusion for wearable health monitoring
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32. Novel method combining multiscale attention entropy of overnight blood oxygen level and machine learning for easy sleep apnea screening
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33. Explainable AI-driven scalogram analysis and optimized transfer learning for sleep apnea detection with single-lead electrocardiograms
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34. Probabilistic cardiac and respiratory based classification of sleep and apneic events in subjects with sleep apnea
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35. Usefulness of Artificial Neural Networks in the Diagnosis and Treatment of Sleep Apnea-Hypopnea Syndrome
    Daniel Álvarez, Ana Cerezo-Hernández, Graciela López-Muñíz, Tania Álvaro de Castro, Tomás Ruíz Albi, Roberto Hornero, Felix del Campo · 2017 · InTech eBooks
36. OSA-weigher: an automated computational framework for identifying obstructive sleep apnea based on event phase segmentation
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37. Smart Pillow:Sleep Apnea Monitoring & Minimization Device
    Syeda Zuriat-e-Zehra Ali, Rida Ashfaq, Rameesa Afzal, Mehr-UN-Nisa, Babar Sultan, Abdul Jalil · 2019 · International Conference on Robot Intelligence Technology and Applications (RiTA)
38. APNEA Detection on Smart Phone
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39. Security issues and attacks in Wireless Sensor Networks
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40. Incorporating Artificial Intelligence into Medical Cyber Physical Systems: A Survey
    Omid Rajabi Shishvan, Daphney–Stavroula Zois, Tolga Soyata · 2019 · Springer eBooks
41. A SVM-Based Algorithm to Diagnose Sleep Apnea
    Bin Ma, Zhaolong Wu, Shengyu Li, Ryan Benton, Dongqi Li, Yulong Huang, Mohan Vamsi Kasukurthi, Jingwei Lin, Glen Mark Borchert, Shaobo Tan et al. · 2019 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
42. TEO separated AM-FM components for identification of apnea EEG signals
    Sachin Taran, Varun Bajaj, Dheeraj Sharma · 2017 · IEEE International Conference on Signal and Image Processing (ICSIP)
43. Sleep Apnea and Hypopnea Events Detection Based on Airflow Signals Using LSTM Network
    Wenming Yang, Jiamin Fan, Xingjun Wang, Qingmin Liao · 2019 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
44. Integrating physiological signals for enhanced sleep apnea diagnosis with SleepNet
    Prashant Hemrajani, Vijaypal Singh Dhaka, Geeta Rani, Sahil Verma, Kavita, Marcin Woźniak, Jana Shafi, Muhammad Fazal Ijaz · 2025 · Scientific Reports
45. Adaptive classification system for real-time detection of apnea and hypopnea events
    Bijoy Laxmi Koley, Debangshu Dey · 2013
46. Detection and classification of sleep apnea using genetic algorithms and SVM‐based classification of thoracic respiratory effort and oximetric signal features
    Zahra Abedi, Nadia Naghavi, Fariborz Rezaeitalab · 2017 · Computational Intelligence
47. Efficient ANN Algorithms for Sleep Apnea Detection Using Transform Methods
    Jyoti S. Bali, Anilkumar V. Nandi, Prakash S. Hiremath · 2019 · Algorithms for intelligent systems
48. A cross-entropy based stacking method in ensemble learning
    Weimin Ding, Shengli Wu · 2020 · Journal of Intelligent & Fuzzy Systems
49. On Finding Explicit Rules for Personalized Forecasting of Obstructive Sleep Apnea Episodes
    Ivanoe De Falco, Giuseppe De Pietro, Giovanna Sannino · 2015 · IEEE International Conference on Information Reuse and Integration (IRI)
50. CNN Model for Sleep Apnea Detection Based on SpO2 Signal
    Maryah Abdullah Albuhayri · 2022 · Computer and Information Science
51. Breathing Disorder Detection Using Wearable Electrocardiogram And Oxygen Saturation
    Yuezhou Zhang, Zhicheng Yang, Zhengbo Zhang, Peiyao Li, Desen Cao, Xiaoli Liu, Jiewen Zheng, Qian Yuan, Jianli Pan · 2018 · ACM Conference on Embedded Networked Sensor Systems (SenSys)
52. A phone-based e-health system for OSAS and its energy issue
    Ruipeng Gao, Liqiong Yang, Xinyu Wu, Tao Wang, Songwu Lu, Fang Han · 2012 · International Conference on Information Technology in Medicine and Education
53. Optimal Classifier for Detection of Obstructive Sleep Apnea Using a Heartbeat Signal
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54. Automatic detection of obstructive sleep apnea through nonlinear dynamics of single-lead ECG signals
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55. An ECG oximetry system for identifying obstructive and central apnoea events
    Philip de Chazal, Nadi Sadr, Madhuka Jayawardhana · 2015 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
56. Students Activity Recognition by Heart Rate Monitoring in Classroom using K-Means Classification
    Hadi Helmi Md Zuraini, Waidah Ismail, Rimuljo Hendradi, Army Justitia · 2020 · Journal of Information Systems Engineering and Business Intelligence
57. ZleepNet: A Deep Convolutional Neural Network Model for Predicting Sleep Apnea Using SpO 2 Signal
    Hnin Thiri Chaw, Thossaporn Kamolphiwong, Sinchai Kamolphiwong, Krongthong Tawaranurak, Rattachai Wongtanawijit · 2023 · Applied Computational Intelligence and Soft Computing
58. ECG based apnea detection by multirate processing hybrid of wavelet-empirical decomposition Hjorth features extraction and neural networks
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59. 1D Convolutional Neural Network for Obstructive Sleep Apnea Detection
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60. Emotion Recognition in Elderly Based on SpO2 and Pulse Rate Signals Using Support Vector Machine
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61. Classification of sleep apnea using EMD-based features and PSO-trained neural networks
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62. Classification of Sleep Apnea via SpO2 in a Simulated Smartwatch Environment
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63. Selection of features for detection of Obstructive Sleep Apnea events
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64. AI-driven sleep apnea screening with overnight blood oxygen saturation: current practices and future directions
    Nhung Huyen Hoang, Zilu Liang · 2025 · Frontiers in Digital Health
65. Improving the Diagnostic Ability of the Sleep Apnea Screening System Based on Oximetry by Using Physical Activity Data
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66. Performance Analysis of Machine Learning Algorithms for Sleep Apnea Detection Using ECG
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67. Sleep apnea syndrome detection and classification of severity level from ECG and SpO2 signals
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68. An Artificial Intelligence-Based Approach for Automated Classification of Obstructive Sleep Apnea by Considering Multi-modal Feature Fusion Technique
    Prateek Pratyasha, Saurabh Gupta, Gizeaddis Lamesgin Simegn · 2023 · Sleep and Vigilance
69. Identification of Apnea-Hypopnea Index Subgroups Based on Multifractal Detrended Fluctuation Analysis and Nasal Cannula Airflow Signals
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70. Real-Time Sleep Apnea Detection and Prediction From Single-Channel Airflow
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71. An automated method for sleep apnoea detection using HRV
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72. Design of a fuzzy input expert system visual information interface for classification of apnea and hypopnea
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73. Developing probabilistic ensemble machine learning models for home-based sleep apnea screening using overnight SpO2 data at varying data granularity
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74. Automatic sleep apnea detection using fuzzy logic
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75. Intelligent Computing Techniques for the Detection of Sleep Disorders: A Review
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76. Diagnosis of Sleep Apnea by Evaluating Points Distri?bution in Poincare Plot of RR Intervals
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77. Obstructive Sleep Apnea Syndrome Diagnosis using HRV Signal Processing
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79. An Explainable Fusion of ECG and SpO2-Based Models for Real-Time Sleep Apnea Detection
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82. Modeling of oxygen saturation and respiration for sleep apnea detection
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83. Sleep apnea detection using blood pressure signal
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86. Detection Performance Regarding Sleep Apnea-Hypopnea Episodes with Fuzzy Logic Fusion on Single-Channel Airflow Indexes
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87. Detection of Sleep Apnea From ECG Signal Using Various Machine Learning Algorithms
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88. Clinical Practice for Diagnostic Causes for Obstructive Sleep Apnea Using Artificial Intelligent Neural Networks
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94. Cascading detection model for prediction of apnea-hypopnea events based on nasal flow and arterial blood oxygen saturation
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95. Machine learning-based automatic sleep apnoea and severity level classification using ECG and SpO2 signals
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96. Speed and Accuracy Trade-off ANN/SVM Based Sleep Apnea Detection with FPGA Implementation
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97. Sleep Disorders Detection and Classification Using Random Forests Algorithm
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99. A Real-Time Algorithm for Sleep Apnea and Hypopnea Detection
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100. SC3: self-configuring classifier combination for obstructive sleep apnea
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