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Journal Abstract Search

225 related items for PubMed ID: 38705982

  • 1. A multi-task learning model using RR intervals and respiratory effort to assess sleep disordered breathing.
    Xie J, Fonseca P, van Dijk J, Overeem S, Long X.
    Biomed Eng Online; 2024 May 05; 23(1):45. PubMed ID: 38705982
    [Abstract] [Full Text] [Related]

  • 2. The Use of Respiratory Effort Improves an ECG-Based Deep Learning Algorithm to Assess Sleep-Disordered Breathing.
    Xie J, Fonseca P, van Dijk JP, Long X, Overeem S.
    Diagnostics (Basel); 2023 Jun 23; 13(13):. PubMed ID: 37443540
    [Abstract] [Full Text] [Related]

  • 3. Proof of principle study: diagnostic accuracy of a novel algorithm for the estimation of sleep stages and disease severity in patients with sleep-disordered breathing based on actigraphy and respiratory inductance plethysmography.
    Dietz-Terjung S, Martin AR, Finnsson E, Ágústsson JS, Helgason S, Helgadóttir H, Welsner M, Taube C, Weinreich G, Schöbel C.
    Sleep Breath; 2021 Dec 23; 25(4):1945-1952. PubMed ID: 33594617
    [Abstract] [Full Text] [Related]

  • 4. Automatic identification of sleep and wakefulness using single-channel EEG and respiratory polygraphy signals for the diagnosis of obstructive sleep apnea.
    Sabil A, Vanbuis J, Baffet G, Feuilloy M, Le Vaillant M, Meslier N, Gagnadoux F.
    J Sleep Res; 2019 Apr 23; 28(2):e12795. PubMed ID: 30478923
    [Abstract] [Full Text] [Related]

  • 5. Estimating the Severity of Obstructive Sleep Apnea Using ECG, Respiratory Effort and Neural Networks.
    Fonseca P, Ross M, Cerny A, Anderer P, Schipper F, Grassi A, van Gilst M, Overeem S.
    IEEE J Biomed Health Inform; 2024 Jul 23; 28(7):3895-3906. PubMed ID: 38551823
    [Abstract] [Full Text] [Related]

  • 6. The effect of respiratory scoring on the diagnosis and classification of sleep disordered breathing in chronic heart failure.
    Ward NR, Roldao V, Cowie MR, Rosen SD, McDonagh TA, Simonds AK, Morrell MJ.
    Sleep; 2013 Sep 01; 36(9):1341-8. PubMed ID: 23997367
    [Abstract] [Full Text] [Related]

  • 7. Detection of sleep disordered breathing severity using acoustic biomarker and machine learning techniques.
    Kim T, Kim JW, Lee K.
    Biomed Eng Online; 2018 Feb 01; 17(1):16. PubMed ID: 29391025
    [Abstract] [Full Text] [Related]

  • 8. Estimating sleep stages using cardiorespiratory signals: validation of a novel algorithm across a wide range of sleep-disordered breathing severity.
    Bakker JP, Ross M, Vasko R, Cerny A, Fonseca P, Jasko J, Shaw E, White DP, Anderer P.
    J Clin Sleep Med; 2021 Jul 01; 17(7):1343-1354. PubMed ID: 33660612
    [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 01; 100():123-131. PubMed ID: 29990645
    [Abstract] [Full Text] [Related]

  • 10. Tracheal Sound Analysis Using a Deep Neural Network to Detect Sleep Apnea.
    Nakano H, Furukawa T, Tanigawa T.
    J Clin Sleep Med; 2019 Aug 15; 15(8):1125-1133. PubMed ID: 31482834
    [Abstract] [Full Text] [Related]

  • 11. The Impact of Altitude on Sleep-Disordered Breathing in Children Dwelling at High Altitude: A Crossover Study.
    Hughes BH, Brinton JT, Ingram DG, Halbower AC.
    Sleep; 2017 Sep 01; 40(9):. PubMed ID: 28934528
    [Abstract] [Full Text] [Related]

  • 12. Robust, ECG-based detection of Sleep-disordered breathing in large population-based cohorts.
    Olsen M, Mignot E, Jennum PJ, Sorensen HBD.
    Sleep; 2020 May 12; 43(5):. PubMed ID: 31738833
    [Abstract] [Full Text] [Related]

  • 13. Automated detection of sleep disordered breathing using a nasal pressure monitoring device.
    Grover SS, Pittman SD.
    Sleep Breath; 2008 Nov 12; 12(4):339-45. PubMed ID: 18368430
    [Abstract] [Full Text] [Related]

  • 14. Validation of a Textile-Based Wearable Measuring Electrocardiogram and Breathing Frequency for Sleep Apnea Monitoring.
    Baty F, Cvetkovic D, Boesch M, Bauer F, Adão Martins NR, Rossi RM, Schoch OD, Annaheim S, Brutsche MH.
    Sensors (Basel); 2024 Sep 26; 24(19):. PubMed ID: 39409269
    [Abstract] [Full Text] [Related]

  • 15. Night-to-Night Variability in Sleep Disordered Breathing and the Utility of Esophageal Pressure Monitoring in Suspected Obstructive Sleep Apnea.
    Skiba V, Goldstein C, Schotland H.
    J Clin Sleep Med; 2015 Jun 15; 11(6):597-602. PubMed ID: 25700868
    [Abstract] [Full Text] [Related]

  • 16. Algorithmic detection of sleep-disordered breathing using respiratory signals: a systematic review.
    Yang L, Ding Z, Zhou J, Zhang S, Wang Q, Zheng K, Wang X, Chen L.
    Physiol Meas; 2024 Mar 21; 45(3):. PubMed ID: 38387048
    [Abstract] [Full Text] [Related]

  • 17. Capacitively-Coupled ECG and Respiration for Sleep-Wake Prediction and Risk Detection in Sleep Apnea Patients.
    Huysmans D, Castro I, Borzée P, Patel A, Torfs T, Buyse B, Testelmans D, Van Huffel S, Varon C.
    Sensors (Basel); 2021 Sep 25; 21(19):. PubMed ID: 34640728
    [Abstract] [Full Text] [Related]

  • 18. Automatic classification of apnea/hypopnea events through sleep/wake states and severity of SDB from a pulse oximeter.
    Park JU, Lee HK, Lee J, Urtnasan E, Kim H, Lee KJ.
    Physiol Meas; 2015 Sep 25; 36(9):2009-25. PubMed ID: 26261097
    [Abstract] [Full Text] [Related]

  • 19. Validation of the Sonomat Against PSG and Quantitative Measurement of Partial Upper Airway Obstruction in Children With Sleep-Disordered Breathing.
    Norman MB, Pithers SM, Teng AY, Waters KA, Sullivan CE.
    Sleep; 2017 Mar 01; 40(3):. PubMed ID: 28364431
    [Abstract] [Full Text] [Related]

  • 20. Feasibility of automated detection of advanced sleep disordered breathing utilizing an implantable pacemaker ventilation sensor.
    Shalaby A, Atwood C, Hansen C, Konermann M, Jamnadas P, Lee K, Willems R, Hartley J, Stahmann J, Kwok J, Ni Q, Neuzner J.
    Pacing Clin Electrophysiol; 2006 Oct 01; 29(10):1036-43. PubMed ID: 17038134
    [Abstract] [Full Text] [Related]

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