Sleep apnea detection using a feed-forward neural network on ECG signal

2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom) ◽

10.1109/healthcom.2016.7749468 ◽

2016 ◽

Author(s):

Andre Miguel da Silva Pinho ◽

Nuno Pombo ◽

Nuno M. Garcia

Keyword(s):

Neural Network ◽

Sleep Apnea ◽

Feed Forward Neural Network ◽

Feed Forward ◽

Apnea Detection

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A model for obstructive sleep apnea detection using a multi-layer feed-forward neural network based on electrocardiogram, pulse oxygen saturation, and body mass index

Sleep And Breathing ◽

10.1007/s11325-021-02302-6 ◽

2021 ◽

Author(s):

Zufei Li ◽

Yanru Li ◽

Guoqiang Zhao ◽

Xiaoqing Zhang ◽

Wen Xu ◽

...

Keyword(s):

Neural Network ◽

Body Mass Index ◽

Obstructive Sleep Apnea ◽

Sleep Apnea ◽

Oxygen Saturation ◽

Body Mass ◽

Feed Forward Neural Network ◽

Feed Forward ◽

Obstructive Sleep ◽

Apnea Detection

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The comparison of different feed forward neural network architectures for ECG signal diagnosis

Medical Engineering & Physics ◽

10.1016/j.medengphy.2005.06.006 ◽

2006 ◽

Vol 28 (4) ◽

pp. 372-378 ◽

Author(s):

H. Gholam Hosseini ◽

D. Luo ◽

K.J. Reynolds

Keyword(s):

Neural Network ◽

Network Architectures ◽

Feed Forward Neural Network ◽

Feed Forward ◽

Neural Network Architectures

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Multi-scale Deep Neural Network for Obstructive Sleep Apnea Detection Using RR Interval from Single-lead ECG Signal

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2021.3062414 ◽

2021 ◽

pp. 1-1

Author(s):

Qi Shen ◽

Hengji Qin ◽

Keming Wei ◽

Guanzheng Liu

Keyword(s):

Neural Network ◽

Obstructive Sleep Apnea ◽

Sleep Apnea ◽

Deep Neural Network ◽

Multi Scale ◽

Rr Interval ◽

Obstructive Sleep ◽

Apnea Detection

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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)"

10.7287/peerj.7731v0.2/reviews/2 ◽

2019 ◽

Author(s):

F Vaquerizo-Villar

Keyword(s):

Neural Network ◽

Feature Extraction ◽

Sleep Apnea ◽

Convolutional Neural Network ◽

Peer Review ◽

Automatic Feature Extraction ◽

Apnea Detection

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Recurrent Neural Network Based Classification of ECG Signal Features for Obstruction of Sleep Apnea Detection

22017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC) ◽

10.1109/cse-euc.2017.220 ◽

2017 ◽

Author(s):

Maowei Cheng ◽

Worku J. Sori ◽

Feng Jiang ◽

Adil Khan ◽

Shaohui Liu

Keyword(s):

Neural Network ◽

Sleep Apnea ◽

Recurrent Neural Network ◽

Signal Features ◽

Apnea Detection

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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)"

10.7287/peerj.7731v0.1/reviews/1 ◽

2019 ◽

Keyword(s):

Neural Network ◽

Feature Extraction ◽

Sleep Apnea ◽

Convolutional Neural Network ◽

Peer Review ◽

Automatic Feature Extraction ◽

Apnea Detection

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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)"

10.7287/peerj.7731v0.1/reviews/2 ◽

2019 ◽

Author(s):

F Vaquerizo-Villar

Keyword(s):

Neural Network ◽

Feature Extraction ◽

Sleep Apnea ◽

Convolutional Neural Network ◽

Peer Review ◽

Automatic Feature Extraction ◽

Apnea Detection

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Application of feed-forward neural network based on adaptive fading UKF in integrated navigation

Modern Engineering Solutions for the Industry (Set) ◽

10.2495/mesi141202 ◽

2014 ◽

Author(s):

Yi Yang ◽

Shesheng Gao ◽

Bingbing Gao

Keyword(s):

Neural Network ◽

Integrated Navigation ◽

Feed Forward Neural Network ◽

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Multilayer Feed Forward Neural Network Prediction Model For Court Case�s Time Span

i-manager’s Journal on Future Engineering and Technology ◽

10.26634/jfet.6.4.1483 ◽

2011 ◽

Vol 6 (4) ◽

pp. 13-26

Author(s):

Behailu Getachew ◽

Keyword(s):

Neural Network ◽

Prediction Model ◽

Time Span ◽

Feed Forward Neural Network ◽

Feed Forward ◽

Neural Network Prediction ◽

Network Prediction

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A Hybrid Approach for Intrusion Detection using OPSO and Hybridization of Feed Forward Neural Network (FFNN) with Probabilistic Neural Network (PNN)- HFFPNN Classifier

International Journal of Advanced Trends in Computer Science and Engineering ◽

10.30534/ijatcse/2020/31912020 ◽

2020 ◽

Vol 9 (1) ◽

pp. 206-210

Author(s):

Sangita Babu

Keyword(s):

Neural Network ◽

Intrusion Detection ◽

Probabilistic Neural Network ◽

Hybrid Approach ◽

Feed Forward Neural Network ◽

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