标题
Efficient Deep Learning Based Hybrid Model to Detect Obstructive Sleep Apnea
作者
关键词
-
出版物
SENSORS
Volume 23, Issue 10, Pages 4692
出版商
MDPI AG
发表日期
2023-05-12
DOI
10.3390/s23104692
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Deep Learning Forecasts the Occurrence of Sleep Apnea from Single-Lead ECG
- (2022) Mahsa Bahrami et al. Cardiovascular Engineering and Technology
- Classification of Skin Disease Using Deep Learning Neural Networks with MobileNet V2 and LSTM
- (2021) Parvathaneni Naga Srinivasu et al. SENSORS
- A review on weight initialization strategies for neural networks
- (2021) Meenal V. Narkhede et al. ARTIFICIAL INTELLIGENCE REVIEW
- Detection of sleep apnea using deep neural networks and single-lead ECG signals
- (2021) Asghar Zarei et al. Biomedical Signal Processing and Control
- Evaluation of Deep Neural Network Compression Methods for Edge Devices Using Weighted Score-Based Ranking Scheme
- (2021) Olutosin Ajibola Ademola et al. SENSORS
- Detection of Abnormal Respiratory Events with Single Channel ECG and Hybrid Machine Learning Model in Patients with Obstructive Sleep Apnea
- (2020) F. Bozkurt et al. IRBM
- Deep Learning Framework for Vehicle and Pedestrian Detection in Rural Roads on an Embedded GPU
- (2020) Luis Barba-Guaman et al. Electronics
- Detection of sleep apnea from heart beat interval and ECG derived respiration signals using sliding mode singular spectrum analysis
- (2020) Himali Singh et al. DIGITAL SIGNAL PROCESSING
- Objective Relationship Between Sleep Apnea and Frequency of Snoring Assessed by Machine Learning
- (2019) Hisham Alshaer et al. Journal of Clinical Sleep Medicine
- Trimmed categorical cross-entropy for deep learning with label noise
- (2019) A. Rusiecki ELECTRONICS LETTERS
- A RR interval based automated apnea detection approach using residual network
- (2019) Lei Wang et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Deep learning approaches for automatic detection of sleep apnea events from an electrocardiogram
- (2019) Urtnasan Erdenebayar et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- A NOVEL APPROACH OSA DETECTION USING SINGLE-LEAD ECG SCALOGRAM BASED ON DEEP NEURAL NETWORK
- (2019) SINAM AJITKUMAR SINGH et al. Journal of Mechanics in Medicine and Biology
- Predicting Nondiagnostic Home Sleep Apnea Tests Using Machine Learning
- (2019) Robert Stretch et al. Journal of Clinical Sleep Medicine
- A Systematic Review of Detecting Sleep Apnea Using Deep Learning
- (2019) Mostafa et al. SENSORS
- Detection of Sleep Apnea from Single-Lead ECG Signal Using a Time Window Artificial Neural Network
- (2019) Tao Wang et al. Biomed Research International
- Detection of sleep disordered breathing severity using acoustic biomarker and machine learning techniques
- (2018) Taehoon Kim et al. Biomedical Engineering Online
- Online Obstructive Sleep Apnea Detection on Medical Wearable Sensors
- (2018) Gregoire Surrel et al. IEEE Transactions on Biomedical Circuits and Systems
- A method to detect sleep apnea based on deep neural network and hidden Markov model using single-lead ECG signal
- (2018) Kunyang Li et al. NEUROCOMPUTING
- Cardiorespiratory Model-Based Data-Driven Approach for Sleep Apnea Detection
- (2018) Sandeep Gutta et al. IEEE Journal of Biomedical and Health Informatics
- Sleep Disorders
- (2018) Milena K. Pavlova et al. AMERICAN JOURNAL OF MEDICINE
- Automatic detection of sleep-disordered breathing events using recurrent neural networks from an electrocardiogram signal
- (2018) Erdenebayar Urtnasan et al. NEURAL COMPUTING & APPLICATIONS
- An Obstructive Sleep Apnea Detection Approach Using a Discriminative Hidden Markov Model From ECG Signals
- (2016) Changyue Song et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- A Novel Algorithm for the Automatic Detection of Sleep Apnea From Single-Lead ECG
- (2015) Carolina Varon et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Deep learning in neural networks: An overview
- (2015) Jürgen Schmidhuber NEURAL NETWORKS
- An Online Sleep Apnea Detection Method Based on Recurrence Quantification Analysis
- (2014) Hoa Dinh Nguyen et al. IEEE Journal of Biomedical and Health Informatics
- Application of Kernel Principal Component Analysis for Single-Lead-ECG-Derived Respiration
- (2012) D. Widjaja et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Automated Recognition of Obstructive Sleep Apnea Syndrome Using Support Vector Machine Classifier
- (2012) H. M. Al-Angari et al. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
- Apnea MedAssist: Real-time Sleep Apnea Monitor Using Single-Lead ECG
- (2010) Majdi Bsoul et al. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
- An experimental comparison of performance measures for classification
- (2008) C. Ferri et al. PATTERN RECOGNITION LETTERS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More