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Journal Abstract Search

249 related items for PubMed ID: 28859722

  • 1. Validation of a New System Using Tracheal Body Sound and Movement Data for Automated Apnea-Hypopnea Index Estimation.
    Kalkbrenner C, Eichenlaub M, Rüdiger S, Kropf-Sanchen C, Brucher R, Rottbauer W.
    J Clin Sleep Med; 2017 Oct 15; 13(10):1123-1130. PubMed ID: 28859722
    [Abstract] [Full Text] [Related]

  • 2. Automated sleep stage classification based on tracheal body sound and actigraphy.
    Kalkbrenner C, Brucher R, Kesztyüs T, Eichenlaub M, Rottbauer W, Scharnbeck D.
    Ger Med Sci; 2019 Oct 15; 17():Doc02. PubMed ID: 30996721
    [Abstract] [Full Text] [Related]

  • 3. Validation of a new system of tracheal sound analysis for the diagnosis of sleep apnea-hypopnea syndrome.
    Nakano H, Hayashi M, Ohshima E, Nishikata N, Shinohara T.
    Sleep; 2004 Aug 01; 27(5):951-7. PubMed ID: 15453554
    [Abstract] [Full Text] [Related]

  • 4. Comparison of Apnea Detection Using Oronasal Thermal Airflow Sensor, Nasal Pressure Transducer, Respiratory Inductance Plethysmography and Tracheal Sound Sensor.
    Sabil A, Glos M, Günther A, Schöbel C, Veauthier C, Fietze I, Penzel T.
    J Clin Sleep Med; 2019 Feb 15; 15(2):285-292. PubMed ID: 30736876
    [Abstract] [Full Text] [Related]

  • 5. Apnea and heart rate detection from tracheal body sounds for the diagnosis of sleep-related breathing disorders.
    Kalkbrenner C, Eichenlaub M, Rüdiger S, Kropf-Sanchen C, Rottbauer W, Brucher R.
    Med Biol Eng Comput; 2018 Apr 15; 56(4):671-681. PubMed ID: 28849304
    [Abstract] [Full Text] [Related]

  • 6. Prediction of Apnea-Hypopnea Index Using Sound Data Collected by a Noncontact Device.
    Kim JW, Kim T, Shin J, Lee K, Choi S, Cho SW.
    Otolaryngol Head Neck Surg; 2020 Mar 15; 162(3):392-399. PubMed ID: 32013710
    [Abstract] [Full Text] [Related]

  • 7. Sleep apnea monitoring and diagnosis based on pulse oximetry and tracheal sound signals.
    Yadollahi A, Giannouli E, Moussavi Z.
    Med Biol Eng Comput; 2010 Nov 15; 48(11):1087-97. PubMed ID: 20734154
    [Abstract] [Full Text] [Related]

  • 8.
    Lux L, Boehlecke B, Lohr KN.
    ; 2004 09 01. PubMed ID: 26065047
    [Abstract] [Full Text] [Related]

  • 9. 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 07; 16(1):6. PubMed ID: 28086902
    [Abstract] [Full Text] [Related]

  • 10. [Developing the portable type sleep apnea detector, and verifying the usefulness of the device].
    Koja S, Arakaki H, Ogura C.
    Seishin Shinkeigaku Zasshi; 1997 Jan 07; 99(4):181-97. PubMed ID: 9170981
    [Abstract] [Full Text] [Related]

  • 11. [Automated analysis of all-night records of tracheal sound to detect sleep disordered breathing].
    Nakano H, Ohnishi Y, Maekawa J, Ishii Y, Nakamura T, Matsuzawa K, Narita N.
    Nihon Kyobu Shikkan Gakkai Zasshi; 1996 Jul 07; 34(7):765-70. PubMed ID: 8810757
    [Abstract] [Full Text] [Related]

  • 12. Validation of the Nox-T3 Portable Monitor for Diagnosis of Obstructive Sleep Apnea in Chinese Adults.
    Xu L, Han F, Keenan BT, Kneeland-Szanto E, Yan H, Dong X, Chang Y, Zhao L, Zhang X, Li J, Pack AI, Kuna ST.
    J Clin Sleep Med; 2017 May 15; 13(5):675-683. PubMed ID: 28356181
    [Abstract] [Full Text] [Related]

  • 13. Watch peripheral arterial tonometry in the diagnosis of obstructive sleep apnea: influence of aging.
    Onder NS, Akpinar ME, Yigit O, Gor AP.
    Laryngoscope; 2012 Jun 15; 122(6):1409-14. PubMed ID: 22522750
    [Abstract] [Full Text] [Related]

  • 14. 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]

  • 15. Continuous analysis and monitoring of snores and their relationship to the apnea-hypopnea index.
    Fiz JA, Jané R, Solà-Soler J, Abad J, García MA, Morera J.
    Laryngoscope; 2010 Apr 15; 120(4):854-62. PubMed ID: 20222022
    [Abstract] [Full Text] [Related]

  • 16. Clinical validation of the Bedbugg in detection of obstructive sleep apnea.
    Claman D, Murr A, Trotter K.
    Otolaryngol Head Neck Surg; 2001 Sep 15; 125(3):227-30. PubMed ID: 11555758
    [Abstract] [Full Text] [Related]

  • 17. Added value of a mandible movement automated analysis in the screening of obstructive sleep apnea.
    Maury G, Cambron L, Jamart J, Marchand E, Senny F, Poirrier R.
    J Sleep Res; 2013 Feb 15; 22(1):96-103. PubMed ID: 22835145
    [Abstract] [Full Text] [Related]

  • 18. Vibration signals of snoring as a simple severity predictor for obstructive sleep apnea.
    Wu HT, Pan WY, Liu AB, Su MC, Chen HR, Tsai IT, Lin MC, Sun CK.
    Clin Respir J; 2016 Jul 15; 10(4):440-8. PubMed ID: 25354244
    [Abstract] [Full Text] [Related]

  • 19. A continuous positive airway pressure trial as a novel approach to the diagnosis of the obstructive sleep apnea syndrome.
    Senn O, Brack T, Russi EW, Bloch KE.
    Chest; 2006 Jan 15; 129(1):67-75. PubMed ID: 16424414
    [Abstract] [Full Text] [Related]

  • 20. Assessment of sleep-disordered breathing using a non-contact bio-motion sensor.
    Zaffaroni A, Kent B, O'Hare E, Heneghan C, Boyle P, O'Connell G, Pallin M, de Chazal P, McNicholas WT.
    J Sleep Res; 2013 Apr 15; 22(2):231-6. PubMed ID: 23176607
    [Abstract] [Full Text] [Related]

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