These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

173 related articles for article (PubMed ID: 34356293)

  • 1. A Survey on Recent Advances in Machine Learning Based Sleep Apnea Detection Systems.
    Ramachandran A; Karuppiah A
    Healthcare (Basel); 2021 Jul; 9(7):. PubMed ID: 34356293
    [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. A Systematic Review of Detecting Sleep Apnea Using Deep Learning.
    Mostafa SS; Mendonça F; Ravelo-García AG; Morgado-Dias F
    Sensors (Basel); 2019 Nov; 19(22):. PubMed ID: 31726771
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Towards Patient-centered Diagnosis of Pediatric Obstructive Sleep Apnea-A Review of Biomedical Engineering Strategies.
    Bertoni D; Isaiah A
    Expert Rev Med Devices; 2019 Jul; 16(7):617-629. PubMed ID: 31159603
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Sleep disorder and apnea events detection framework with high performance using two-tier learning model design.
    Arslan RS
    PeerJ Comput Sci; 2023; 9():e1554. PubMed ID: 37810361
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A New Approach for Detecting Sleep Apnea Using a Contactless Bed Sensor: Comparison Study.
    Sadek I; Heng TTS; Seet E; Abdulrazak B
    J Med Internet Res; 2020 Sep; 22(9):e18297. PubMed ID: 32945773
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Sleep Apnea Severity Estimation from Respiratory Related Movements Using Deep Learning.
    Hafezi M; Montazeri N; Zhu K; Alshaer H; Yadollahi A; Taati B
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():1601-1604. PubMed ID: 31946202
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Application of machine learning to predict obstructive sleep apnea syndrome severity.
    Mencar C; Gallo C; Mantero M; Tarsia P; Carpagnano GE; Foschino Barbaro MP; Lacedonia D
    Health Informatics J; 2020 Mar; 26(1):298-317. PubMed ID: 30696334
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Obstructive sleep apnea detection using SVM-based classification of ECG signal features.
    Almazaydeh L; Elleithy K; Faezipour M
    Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():4938-41. PubMed ID: 23367035
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deep Recurrent Neural Networks for Automatic Detection of Sleep Apnea from Single Channel Respiration Signals.
    ElMoaqet H; Eid M; Glos M; Ryalat M; Penzel T
    Sensors (Basel); 2020 Sep; 20(18):. PubMed ID: 32899819
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Design and Evaluation of a Non-ContactBed-Mounted Sensing Device for AutomatedIn-Home Detection of Obstructive Sleep Apnea:A Pilot Study.
    Mosquera-Lopez C; Leitschuh J; Condon J; Hagen CC; Rajhbeharrysingh U; Hanks C; Jacobs PG
    Biosensors (Basel); 2019 Jul; 9(3):. PubMed ID: 31336678
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Classification of Sleep Apnea Severity by Electrocardiogram Monitoring Using a Novel Wearable Device.
    Baty F; Boesch M; Widmer S; Annaheim S; Fontana P; Camenzind M; Rossi RM; Schoch OD; Brutsche MH
    Sensors (Basel); 2020 Jan; 20(1):. PubMed ID: 31947905
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Diagnosis of Obstructive Sleep Apnea during Wakefulness Using Upper Airway Negative Pressure and Machine Learning.
    Lim J; Alshaer H; Khan SS; Pandya A; Ryan CM; Haleem A; Sivakulam N; Sahak H; Haq AU; Macarthur K
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():1605-1608. PubMed ID: 31946203
    [TBL] [Abstract][Full Text] [Related]  

  • 15. AI vs Humans for the diagnosis of sleep apnea.
    Thorey V; Hernandez AB; Arnal PJ; During EH
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():1596-1600. PubMed ID: 31946201
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Hybrid Feature Selection and Extraction Methods for Sleep Apnea Detection Using Bio-Signals.
    Li X; Ling SH; Su S
    Sensors (Basel); 2020 Aug; 20(15):. PubMed ID: 32756353
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Systematic review of automated sleep apnea detection based on physiological signal data using deep learning algorithm: a meta-analysis approach.
    Tyagi PK; Agarwal D
    Biomed Eng Lett; 2023 Aug; 13(3):293-312. PubMed ID: 37519869
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automated Sleep Apnea Detection in Raw Respiratory Signals Using Long Short-Term Memory Neural Networks.
    Van Steenkiste T; Groenendaal W; Deschrijver D; Dhaene T
    IEEE J Biomed Health Inform; 2019 Nov; 23(6):2354-2364. PubMed ID: 30530344
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Online Obstructive Sleep Apnea Detection on Medical Wearable Sensors.
    Surrel G; Aminifar A; Rincon F; Murali S; Atienza D
    IEEE Trans Biomed Circuits Syst; 2018 Aug; 12(4):762-773. PubMed ID: 29993894
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 9.