BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

134 related articles for article (PubMed ID: 36842220)

  • 1. MS-Net: Sleep apnea detection in PPG using multi-scale block and shadow module one-dimensional convolutional neural network.
    Wei K; Zou L; Liu G; Wang C
    Comput Biol Med; 2023 Mar; 155():106469. PubMed ID: 36842220
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multiscale Bidirectional Temporal Convolutional Network for Sleep Apnea Detection Based on Wearable Photoplethysmography Bracelet.
    Zou L; Liu G
    IEEE J Biomed Health Inform; 2024 Mar; 28(3):1331-1340. PubMed ID: 37991905
    [TBL] [Abstract][Full Text] [Related]  

  • 3. [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]  

  • 4. Central Sleep Apnea Detection by Means of Finger Photoplethysmography.
    Massie F; Vits S; Khachatryan A; Van Pee B; Verbraecken J; Bergmann J
    IEEE J Transl Eng Health Med; 2023; 11():126-136. PubMed ID: 36704242
    [TBL] [Abstract][Full Text] [Related]  

  • 5. FASSNet: fast apnea syndrome screening neural network based on single-lead electrocardiogram for wearable devices.
    Yu Y; Yang Z; You Y; Shan W
    Physiol Meas; 2021 Aug; 42(8):. PubMed ID: 34315149
    [No Abstract]   [Full Text] [Related]  

  • 6. Automatic Sleep Staging in Children with Sleep Apnea using Photoplethysmography and Convolutional Neural Networks.
    Vaquerizo-Villar F; Alvarez D; Kraemer JF; Wessel N; Gutierrez-Tobal GC; Calvo E; Del Campo F; Kheirandish-Gozal L; Gozal D; Penzel T; Hornero R
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():216-219. PubMed ID: 34891275
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Detection of sleep apnea from single-channel electroencephalogram (EEG) using an explainable convolutional neural network (CNN).
    Barnes LD; Lee K; Kempa-Liehr AW; Hallum LE
    PLoS One; 2022; 17(9):e0272167. PubMed ID: 36099242
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Real-time apnea-hypopnea event detection during sleep by convolutional neural networks.
    Choi SH; Yoon H; Kim HS; Kim HB; Kwon HB; Oh SM; Lee YJ; Park KS
    Comput Biol Med; 2018 Sep; 100():123-131. PubMed ID: 29990645
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Detection of Sleep Apnea from Single-Lead ECG Signal Using a Time Window Artificial Neural Network.
    Wang T; Lu C; Shen G
    Biomed Res Int; 2019; 2019():9768072. PubMed ID: 31950061
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Dual-Scale Convolutional Neural Network for Sleep Apnea Detection with Time-Delayed SpO
    Zou R; Yue H; Lei W; Fan X; Ma W; Li P; Li Y
    Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38082997
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Detection of respiratory arousals using photoplethysmography (PPG) signal in sleep apnea patients.
    Karmakar C; Khandoker A; Penzel T; Schöbel C; Palaniswami M
    IEEE J Biomed Health Inform; 2014 May; 18(3):1065-73. PubMed ID: 24108482
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Sleep apnea screening based on Photoplethysmography data from wearable bracelets using an information-based similarity approach.
    Wu S; Chen M; Wei K; Liu G
    Comput Methods Programs Biomed; 2021 Nov; 211():106442. PubMed ID: 34624633
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Development of a sleep apnea event detection method using photoplethysmography.
    Suzuki T; Kameyama K; Inoko Y; Tamura T
    Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():5258-61. PubMed ID: 21096051
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A RR interval based automated apnea detection approach using residual network.
    Wang L; Lin Y; Wang J
    Comput Methods Programs Biomed; 2019 Jul; 176():93-104. PubMed ID: 31200916
    [TBL] [Abstract][Full Text] [Related]  

  • 18. In obstructive sleep apnea patients, automatic determination of respiratory arrests by photoplethysmography signal and heart rate variability.
    Bozkurt MR; Uçar MK; Bozkurt F; Bilgin C
    Australas Phys Eng Sci Med; 2019 Dec; 42(4):959-979. PubMed ID: 31515685
    [TBL] [Abstract][Full Text] [Related]  

  • 19. RAFNet: Restricted attention fusion network for sleep apnea detection.
    Chen Y; Yue H; Zou R; Lei W; Ma W; Fan X
    Neural Netw; 2023 May; 162():571-580. PubMed ID: 37003136
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multi-Class Classification of Sleep Apnea/Hypopnea Events Based on Long Short-Term Memory Using a Photoplethysmography Signal.
    Kang CH; Erdenebayar U; Park JU; Lee KJ
    J Med Syst; 2019 Dec; 44(1):14. PubMed ID: 31811401
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.