An automatic apnea screening algorithm for children

Expert Systems with Applications

Volumn 48, Issue , 2016, Pages 42-54

  Ríos, Sebastián A ^a   Erazo, Lili ^a  

^a UNIVERSITY OF CHILE   (Chile)

Author keywords

Apnea classification; Apnea screening; Screening algorithms; Ubiquitous health system

Indexed keywords

ALGORITHMS; SLEEP RESEARCH;

APNEA CLASSIFICATION; APNEA SCREENING; OBSTRUCTIVE SLEEP APNEA; RESPIRATORY FUNCTION; SCREENING ALGORITHMS; SLEEP-DISORDERED BREATHING; STATE-OF-THE-ART TECHNIQUES; UBIQUITOUS HEALTHS;

DIAGNOSIS;

EID: 84950274360     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2015.11.013     Document Type: Article

References (21)

1. Álvarez-Estévez D., and Moret-Bonillo V. Fuzzy reasoning used to detect apneic events in the sleep apnea-hypopnea syndrome Expert Systems with Applications 36 2009 7778 7785
2. Chang L., Wu J., and Cao L. Combination of symptoms and oxygen desaturation index in predicting childhood obstructive sleep apnea International journal of pediatric otorhinolaryngology 77 3 2012 365 371
3. Chung F., Liao P., Elsaid H., Islam S., Shapiro C.M., and Sun Y. Oxygen desaturation index from nocturnal oximetry: a sensitive and specific tool to detect sleep-disordered breathing in surgical patients Anesthesia & Analgesia 114 2012 993 1000
4. De Chazal P., Heneghan C., Sheridan E., Reilly R., Nolan P., and O'Malley M. Automated processing of the single-lead electrocardiogram for the detection of obstructive sleep apnoea IEEE Transactions on Biomedical Engineering 50 2003 686 696
5. Driver H.S., Pereira E.J., Bjerring K., Toop F., Stewart S.C., Munt P.W., and Fitzpatrick M.F. Validation of the medibyte type 3 portable monitor compared with polysomnography for screening of obstructive sleep apnea Canadian Respiratory Journal: Journal of the Canadian Thoracic Society 18 2011 137
6. Echeverría M., Jimenez-Molina A., and Ríos S.A. A semantic framework for continuous u-health services provisioning Procedia Computer Science 60 2015 603 612
7. Erazo L., and Ríos S.A. A benchmark on automatic obstructive sleep apnea screening algorithms in children Procedia Computer Science 35 2014 739 746
8. Flemons W.W., Littner M.R., Rowley J.A., Gay P., Anderson W.M., Hudgel D.W., and et al. Home diagnosis of sleep apnea: A systematic review of the literaturean evidence review cosponsored by the american academy of sleep medicine, the american college of chest physicians, and the american thoracic society CHEST Journal 124 2003 1543 1579
9. General A. International classification of sleep disorders, 2nd edn.: Diagnostic and coding manual. westchester, illinois: American academy of sleep medicine, 2005. broughton r. pathological fragmentary myoclonus, intensified sleep starts and hypnagogic foot tremor: three unusual sleep related disorders Sleep 28 2005 113 121
10. Goldstein N.A., Pugazhendhi V., Rao S.M., Weedon J., Campbell T.F., Goldman A.C., and et al. Clinical assessment of pediatric obstructive sleep apnea Pediatrics 114 2004 33 43
11. Goodwin J.L., Babar S.I., Kaemingk K.L., Rosen G.M., Morgan W.J., Sherrill D.L., and et al. Symptoms related to sleep-disordered breathing in white and hispanic children. the tucson childrens assessment of sleep apnea study CHEST Journal 124 2003 196 203
12. Goodwin J.L., Kaemingk K.L., Fregosi R.F., Rosen G.M., Morgan W.J., Sherrill D.L., and et al. Clinical outcomes associated with sleep-disordered breathing in caucasian and hispanic children. the tucson childrens assessment of sleep apnea study (tucasa) Sleep Disordered Breathing 26 2003 587 591
13. Jarvis M., and Mitra P. Apnea patients characterized by 0.02 hz peak in the multitaper spectrogram of electrocardiogram signals Computers in cardiology 2000 2000 769 772
14. Khandoker A.H., Palaniswami M., and Karmakar C.K. Support vector machines for automated recognition of obstructive sleep apnea syndrome from ecg recordings Information Technology in Biomedicine, IEEE Transactions on 13 2009 37 48
15. Levy P., Bonsignore M., and Eckel J. Sleep, sleep-disordered breathing and metabolic consequences European Respiratory Journal 34 2009 243 260
16. de la Luz Alonso Álvarez M., Santos J.T., Guevara J.C., Martínez M.G., Pascual L.R., Ba nuelos J.L.V., and et al. Reliability of home respiratory polygraphy for the diagnosis of sleep apnea-hypopnea syndrome. analysis of costs Archivos de Bronconeumología (English Edition) 44 2008 22 28
17. Mendez M.O., Ruini D.D., Villantieri O.P., Matteucci M., Penzel T., Cerutti S., and et al. Detection of sleep apnea from surface ecg based on features extracted by an autoregressive model Engineering in medicine and biology society, 2007. embs 2007. 29th annual international conference of the ieee 2007 6105 6108
18. Noehren A., Brockmann P.E., Urschitz M.S., Sokollik C., Schlaud M., and Poets C.F. Detection of respiratory events using pulse rate in children with and without obstructive sleep apnea Pediatric pulmonology 45 2010 459 468
19. Roche F., Pichot V., Sforza E., Duverney D., Costes F., Garet M., and et al. Predicting sleep apnoea syndrome from heart period: a time-frequency wavelet analysis European Respiratory Journal 22 2003 937 942
20. Rosen C.L., Palermo T.M., Larkin E.K., and Redline S. Health-related quality of life and sleep-disordered breathing in children Sleep 25 2002 657 666
21. Tsai C.-M., Kang C.-H., Su M.-C., Lin H.-C., Huang E.-Y., Chen C.-C., and et al. Usefulness of desaturation index for the assessment of obstructive sleep apnea syndrome in children International journal of pediatric otorhinolaryngology 77 8 2013 1286 1290