BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

236 related articles for article (PubMed ID: 35062470)

  • 1. Contribution of Different Subbands of ECG in Sleep Apnea Detection Evaluated Using Filter Bank Decomposition and a Convolutional Neural Network.
    Yeh CY; Chang HY; Hu JY; Lin CC
    Sensors (Basel); 2022 Jan; 22(2):. PubMed ID: 35062470
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Sleep Apnea Detection System Based on a One-Dimensional Deep Convolution Neural Network Model Using Single-Lead Electrocardiogram.
    Chang HY; Yeh CY; Lee CT; Lin CC
    Sensors (Basel); 2020 Jul; 20(15):. PubMed ID: 32722630
    [TBL] [Abstract][Full Text] [Related]  

  • 3. SCNN: Scalogram-based convolutional neural network to detect obstructive sleep apnea using single-lead electrocardiogram signals.
    Mashrur FR; Islam MS; Saha DK; Islam SMR; Moni MA
    Comput Biol Med; 2021 Jul; 134():104532. PubMed ID: 34102402
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Application of an optimal class of antisymmetric wavelet filter banks for obstructive sleep apnea diagnosis using ECG signals.
    Sharma M; Agarwal S; Acharya UR
    Comput Biol Med; 2018 Sep; 100():100-113. PubMed ID: 29990643
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Ensemble of Deep Learning Models for Sleep Apnea Detection: An Experimental Study.
    Mukherjee D; Dhar K; Schwenker F; Sarkar R
    Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34450866
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction of obstructive sleep apnea using ensemble of recurrence plot convolutional neural networks (RPCNNs) from polysomnography signals.
    Taghizadegan Y; Jafarnia Dabanloo N; Maghooli K; Sheikhani A
    Med Hypotheses; 2021 Sep; 154():110659. PubMed ID: 34399170
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A fused-image-based approach to detect obstructive sleep apnea using a single-lead ECG and a 2D convolutional neural network.
    Niroshana SMI; Zhu X; Nakamura K; Chen W
    PLoS One; 2021; 16(4):e0250618. PubMed ID: 33901251
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automatic Detection of Obstructive Sleep Apnea Events Using a Deep CNN-LSTM Model.
    Zhang J; Tang Z; Gao J; Lin L; Liu Z; Wu H; Liu F; Yao R
    Comput Intell Neurosci; 2021; 2021():5594733. PubMed ID: 33859679
    [TBL] [Abstract][Full Text] [Related]  

  • 9. ECG-based convolutional neural network in pediatric obstructive sleep apnea diagnosis.
    García-Vicente C; Gutiérrez-Tobal GC; Jiménez-García J; Martín-Montero A; Gozal D; Hornero R
    Comput Biol Med; 2023 Dec; 167():107628. PubMed ID: 37918264
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Obstructive sleep apnea prediction from electrocardiogram scalograms and spectrograms using convolutional neural networks.
    Nasifoglu H; Erogul O
    Physiol Meas; 2021 Jun; 42(6):. PubMed ID: 34116519
    [No Abstract]   [Full Text] [Related]  

  • 11. [Sleep apnea automatic detection method based on convolutional neural network].
    Gao Q; Shang L; Wu K
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2021 Aug; 38(4):678-685. PubMed ID: 34459167
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Performance evaluation of the spectral autocorrelation function and autoregressive models for automated sleep apnea detection using single-lead ECG signal.
    Zarei A; Mohammadzadeh Asl B
    Comput Methods Programs Biomed; 2020 Oct; 195():105626. PubMed ID: 32634646
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Validity study of a multiscaled fusion network using single-lead electrocardiogram signals for obstructive sleep apnea diagnosis.
    Yue H; Li P; Li Y; Lin Y; Huang B; Sun L; Ma W; Fan X; Wen W; Lei W
    J Clin Sleep Med; 2023 Jun; 19(6):1017-1025. PubMed ID: 36734174
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A 2D convolutional neural network to detect sleep apnea in children using airflow and oximetry.
    Jiménez-García J; García M; Gutiérrez-Tobal GC; Kheirandish-Gozal L; Vaquerizo-Villar F; Álvarez D; Del Campo F; Gozal D; Hornero R
    Comput Biol Med; 2022 Aug; 147():105784. PubMed ID: 35797888
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automated Detection of Obstructive Sleep Apnea Events from a Single-Lead Electrocardiogram Using a Convolutional Neural Network.
    Urtnasan E; Park JU; Joo EY; Lee KJ
    J Med Syst; 2018 Apr; 42(6):104. PubMed ID: 29687192
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Deep Learning Framework for Automatic Sleep Apnea Classification Based on Empirical Mode Decomposition Derived from Single-Lead Electrocardiogram.
    Setiawan F; Lin CW
    Life (Basel); 2022 Sep; 12(10):. PubMed ID: 36294943
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Greedy based convolutional neural network optimization for detecting apnea.
    Mostafa SS; Baptista D; Ravelo-García AG; Juliá-Serdá G; Morgado-Dias F
    Comput Methods Programs Biomed; 2020 Dec; 197():105640. PubMed ID: 32673899
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Multi-Feature Automatic Extraction for Detecting Obstructive Sleep Apnea Based on Single-Lead Electrocardiography Signals.
    Zhou Y; Kang K
    Sensors (Basel); 2024 Feb; 24(4):. PubMed ID: 38400317
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Multiclass classification of obstructive sleep apnea/hypopnea based on a convolutional neural network from a single-lead electrocardiogram.
    Urtnasan E; Park JU; Lee KJ
    Physiol Meas; 2018 Jun; 39(6):065003. PubMed ID: 29794342
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Sleep apnea detection from single-lead electrocardiogram signals using effective deep-shallow fusion network.
    Li P; Ma W; Yue H; Lei W; Fan X; Li Y
    Physiol Meas; 2024 Feb; 45(2):. PubMed ID: 38237197
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 12.