216 related articles for article (PubMed ID: 34399170)
1. 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]
2. 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]
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. 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]
5. 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]
6. 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]
7. 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]
8. 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]
9. Automatic System for Obstructive Sleep Apnea Events Detection Using Convolutional Neural Network.
Cen L; Yu ZL; Kluge T; Ser W
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():3975-3978. PubMed ID: 30441229
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. Screening of obstructive sleep apnea in patients who snore using a patch-type device with electrocardiogram and 3-axis accelerometer.
Hsu YS; Chen TY; Wu D; Lin CM; Juang JN; Liu WT
J Clin Sleep Med; 2020 Jul; 16(7):1149-1160. PubMed ID: 32267228
[TBL] [Abstract][Full Text] [Related]
13. Exploiting temporal and nonstationary features in breathing sound analysis for multiple obstructive sleep apnea severity classification.
Kim J; Kim T; Lee D; Kim JW; Lee K
Biomed Eng Online; 2017 Jan; 16(1):6. PubMed ID: 28086902
[TBL] [Abstract][Full Text] [Related]
14. Real-time prediction of disordered breathing events in people with obstructive sleep apnea.
Waxman JA; Graupe D; Carley DW
Sleep Breath; 2015 Mar; 19(1):205-12. PubMed ID: 24807119
[TBL] [Abstract][Full Text] [Related]
15. Can Statistical Machine Learning Algorithms Help for Classification of Obstructive Sleep Apnea Severity to Optimal Utilization of Polysomnography Resources?
Bozkurt S; Bostanci A; Turhan M
Methods Inf Med; 2017 Aug; 56(4):308-318. PubMed ID: 28590499
[TBL] [Abstract][Full Text] [Related]
16. Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry signals.
Sharma M; Kumbhani D; Tiwari J; Kumar TS; Acharya UR
Comput Biol Med; 2022 May; 144():105364. PubMed ID: 35299046
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Orthogonal convolutional neural networks for automatic sleep stage classification based on single-channel EEG.
Zhang J; Yao R; Ge W; Gao J
Comput Methods Programs Biomed; 2020 Jan; 183():105089. PubMed ID: 31586788
[TBL] [Abstract][Full Text] [Related]
19. A novel deep feature transfer-based OSA detection method using sleep sound signals.
Luo J; Liu H; Gao X; Wang B; Zhu X; Shi Y; Hei X; Ren X
Physiol Meas; 2020 Aug; 41(7):075009. PubMed ID: 32559754
[TBL] [Abstract][Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]
