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Journal Abstract Search
212 related items for PubMed ID: 9456464
1. Automated detection and classification of sleep-disordered breathing from conventional polysomnography data. Taha BH, Dempsey JA, Weber SM, Badr MS, Skatrud JB, Young TB, Jacques AJ, Seow KC. Sleep; 1997 Nov; 20(11):991-1001. PubMed ID: 9456464 [Abstract] [Full Text] [Related]
2. Rules for scoring respiratory events in sleep: update of the 2007 AASM Manual for the Scoring of Sleep and Associated Events. Deliberations of the Sleep Apnea Definitions Task Force of the American Academy of Sleep Medicine. Berry RB, Budhiraja R, Gottlieb DJ, Gozal D, Iber C, Kapur VK, Marcus CL, Mehra R, Parthasarathy S, Quan SF, Redline S, Strohl KP, Davidson Ward SL, Tangredi MM, American Academy of Sleep Medicine. J Clin Sleep Med; 2012 Oct 15; 8(5):597-619. PubMed ID: 23066376 [Abstract] [Full Text] [Related]
3. Assessment of automated scoring of polysomnographic recordings in a population with suspected sleep-disordered breathing. Pittman SD, MacDonald MM, Fogel RB, Malhotra A, Todros K, Levy B, Geva AB, White DP. Sleep; 2004 Nov 01; 27(7):1394-403. PubMed ID: 15586793 [Abstract] [Full Text] [Related]
4. Current hypopnea scoring criteria underscore pediatric sleep disordered breathing. Lin CH, Guilleminault C. Sleep Med; 2011 Aug 01; 12(7):720-9. PubMed ID: 21700494 [Abstract] [Full Text] [Related]
7. Diagnostic accuracy of overnight oximetry for the diagnosis of sleep-disordered breathing in atrial fibrillation patients. Linz D, Kadhim K, Brooks AG, Elliott AD, Hendriks JML, Lau DH, Mahajan R, Gupta AK, Middeldorp ME, Hohl M, Nalliah CJ, Kalman JM, McEvoy RD, Baumert M, Sanders P. Int J Cardiol; 2018 Dec 01; 272():155-161. PubMed ID: 30057161 [Abstract] [Full Text] [Related]
8. Comparison of limited monitoring using a nasal-cannula flow signal to full polysomnography in sleep-disordered breathing. Ayappa I, Norman RG, Suryadevara M, Rapoport DM. Sleep; 2004 Sep 15; 27(6):1171-9. PubMed ID: 15532212 [Abstract] [Full Text] [Related]
11. 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 15; 25(4):1945-1952. PubMed ID: 33594617 [Abstract] [Full Text] [Related]
12. Validation of an automated algorithm for detecting apneas and hypopneas by acoustic analysis of breath sounds. Alshaer H, Fernie GR, Maki E, Bradley TD. Sleep Med; 2013 Jun 15; 14(6):562-71. PubMed ID: 23453251 [Abstract] [Full Text] [Related]
13. Utility of overnight pulse oximetry and heart rate variability analysis to screen for sleep-disordered breathing in chronic heart failure. Ward NR, Cowie MR, Rosen SD, Roldao V, De Villa M, McDonagh TA, Simonds A, Morrell MJ. Thorax; 2012 Nov 15; 67(11):1000-5. PubMed ID: 22807517 [Abstract] [Full Text] [Related]
14. 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 15; 36(9):2009-25. PubMed ID: 26261097 [Abstract] [Full Text] [Related]