Multiclass classification of subjects with sleep apnoea-hypopnoea syndrome through snoring analysis

Medical Engineering and Physics

Volumn 34, Issue 9, 2012, Pages 1213-1220

  Solà Soler, Jordi ^a,b   Fiz, José Antonio ^b,c   Morera, José ^c   Jané, Raimon ^a,b  

^a UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

^b BIOMATERIALES Y NANOMEDICINA CIBER BBN   (Spain)

^c HOSPITAL UNIVERSITARI GERMANS TRIAS I PUJOL   (Spain)

Author keywords

Bayes classifier; Kernel density estimation; Sleep apnoea; Snoring

Indexed keywords

ACOUSTIC ANALYSIS; ACOUSTIC CHARACTERISTIC; BAYES CLASSIFIER; BAYES MODELS; BINARY LOGISTIC REGRESSION; CLASSIFICATION METHODS; ENERGY RATIO; FORMANT FREQUENCY; FREQUENCY DOMAINS; GOLD STANDARDS; KERNEL DENSITY ESTIMATION; LABOUR-INTENSIVE; MULTI-CLASS; MULTI-CLASS CLASSIFICATION; POLYSOMNOGRAPHY; SCREENING METHODS; SCREENING PROCEDURES; SINGLE CHANNELS; SLEEP APNOEA; SNORING; TIME DOMAIN; TIME-CONSUMING PROCEDURE;

ESTIMATION; LOGISTICS; REGRESSION ANALYSIS; STATISTICS;

SLEEP RESEARCH;

ACOUSTIC ANALYSIS; ADULT; AGED; ARTICLE; BAYES THEOREM; CLASSIFICATION; CLASSIFIER; CLINICAL ARTICLE; DISEASE SEVERITY; FEMALE; HUMAN; INTERMETHOD COMPARISON; KERNEL METHOD; LOGISTIC REGRESSION ANALYSIS; MALE; MULTICLASS CLASSIFICATION; PRIORITY JOURNAL; RECORDER; SINGLE CHANNEL RECORDER; SLEEP DISORDERED BREATHING; SNORING;

ADULT; AGED; ALGORITHMS; BAYES THEOREM; FEMALE; HUMANS; LOGISTIC MODELS; MALE; MIDDLE AGED; NORMAL DISTRIBUTION; ROC CURVE; SLEEP APNEA, OBSTRUCTIVE; SNORING; SOUND; YOUNG ADULT;

EID: 84867214255     PISSN: 13504533     EISSN: 18734030     Source Type: Journal    
DOI: 10.1016/j.medengphy.2011.12.008     Document Type: Article

References (20)

1. Eckert D.J., Malhotra A. Pathophysiology of adult obstructive sleep apnea. Proc Am Thorac Soc 2008, 5(2):144-153.
2. Wilson K., Stoohs R.A., Mulrooney T.F., Johnson L.J., Guilleminault C., Huang Z. The snoring spectrum, acoustic assessment of snoring sound intensity in 1,139 individuals undergoing polysomnography. Chest 1999, 115(3):762-770.
3. Marcos J.V., Hornero R., Alvarez D., del Campo F., Zamarrón C. Assessment of four statistical pattern recognition techniques to assist in obstructive sleep apnoea diagnosis from nocturnal oximetry. Med Eng Phys 2009, 31(8):971-978.
4. Caseiro P., Fonseca-Pinto R., Andrade A. Screening of obstructive sleep apnea using Hilbert-Huang decomposition of oronasal airway pressure recordings. Med Eng Phys 2010, 32(6):561-568.
5. Pevernagie D., Aarts R.M., De Meyer M. The acoustics of snoring. Sleep Med Rev 2010, 14(2):131-144.
6. Perez-Padilla J.R., Slawinski E., Difrancesco L.M., Feige R.R., Remmers J.E., Whitelaw W.A. Characteristics of the snoring noise in patients with and without occlusive sleep apnea. Am Rev Respir Dis 1993, 147(3):635-644.
7. Fiz J.A., Abad J., Jané R., Riera M., Mañanas M.A., Caminal P., et al. Acoustic analysis of snoring sound in patients with simple snoring and obstructive sleep apnoea. Eur Respir J 1996, 9(11):2365-2370.
8. Herzog M., Schmidt A., Bremert T., Herzog B., Hosemann W., Kaftan H. Analysed snoring sounds correlate to obstructive sleep disordered breathing. Eur Arch Otorhinolaryngol 2007, 265(1):105-113.
9. Cavusoglu M., Ciloglu T., Serinagaoglu Y., Kamasak M., Erogul O., Akcam T. Investigation of sequential properties of snoring episodes for obstructive sleep apnoea identification. Physiol Meas 2008, 29(8):879-898.
10. Ng A.K., Koh T.S., Abeyratne U.R., Puvanendran K. Investigation of obstructive sleep apnea using nonlinear mode interactions in nonstationary snore signals. Ann Biomed Eng 2009, 37(9):1796-1806.
11. Fiz J.A., Jané R., Solà-Soler J., Abad J., García M.A., Morera J. Continuous analysis and monitoring of snores and their relationship to the apnea-hypopnea index. Laryngoscope 2010, 120(4):854-862.
12. Ben-Israel N., Tarasiuk A., Zigel Y. Nocturnal sound analysis for the diagnosis of obstructive sleep apnea. Conf Proc IEEE Eng Med Biol Soc 2010, 6146-6149. PMID: 18003405 [PubMed - indexed for MEDLINE].
13. Solà-Soler J., Jané R., Fiz J.A., Morera J. Automatic classification of subjects with and without Sleep Apnea through snoring analysis. Conf Proc IEEE Eng Med Biol Soc 2007, 6094-6097. PMID: 18003405 [PubMed - indexed for MEDLINE].
14. Botev Z.I., Grotowski J.F., Kroese D.P. Kernel density estimation via diffusion. Ann Stat 2010, 38(5):2916-2957.
15. Kraman S.S., Wodicka G.R., Oh Y., Pasterkamp H. Measurement of respiratory acoustic signals. Effect of microphone air cavity width, shape, and venting. Chest 1995, 108(4):1004-1008.
16. Jané R., Fiz J.A., Solà-Soler J., Blanch S., Artis P., Morera J. Automatic snoring signal analysis in sleep studies. Conf Proc IEEE Eng Med Biol Soc 2003, 366-369.
17. Karunajeewa A.S., Abeyratne U.R., Hukins C. Multi-feature snore sound analysis in obstructive sleep apnea-hypopnea syndrome. Physiol Meas 2011, 32(1):83-97.
18. Flemons W.W., Littner M.R., Rowley J.A., Gay P., Anderson W.M., Hudgel D.W., et al. Home diagnosis of sleep apnea: a systematic review of the literature. An evidence review cosponsored by the American Academy of Sleep Medicine, the American College of Chest Physicians, and the American Thoracic Society. Chest 2003, 124(4):1543-1579.
19. SPSS. SPSS 16.0 Algorithms, http://support.spss.com/ProductsExt/SPSS/Documentation/Manuals/16.0/SPSS16.0Algorithms.pdf.
20. Jain A.K., Duin R.P.W., Jianchang M. Statistical pattern recognition: a review. IEEE Trans Pattern Anal Mach Intell 2000, 22(1):4-37.