Inspiratory flow shape clustering: An automated method to monitor upper airway performance during sleep

Computer Methods and Programs in Biomedicine

Volumn 85, Issue 1, 2007, Pages 8-18

  Aittokallio, Tero ^a,b   Malminen, Jani S ^a   Pahikkala, Tapio ^a   Polo, Olli ^b,c   Nevalainen, Olli S ^a  

^a UNIVERSITY OF TURKU   (Finland)

^b UNIVERSITY OF TURKU   (Finland)

^c TAMPERE UNIVERSITY HOSPITAL   (Finland)

Author keywords

Cluster analysis; Data mining; Inspiratory flow limitation; Respiratory airflow monitoring; Sleep disordered breathing; Upper airway collapsibility

Indexed keywords

ALGORITHMS; BIOMEDICAL ENGINEERING; DATA MINING; INFORMATION ANALYSIS; MEASUREMENT THEORY; PULMONARY DISEASES;

CLUSTER ANALYSIS; INSPIRATORY FLOW LIMITATION; RESPIRATORY AIRFLOW MONITORING; SLEEP DISORDERED BREATHING; UPPER AIRWAY COLLAPSIBILITY;

AERODYNAMICS;

ADULT; ALGORITHM; ARTICLE; AUTOMATION; BREATHING DISORDER; CLINICAL ARTICLE; COMPARATIVE STUDY; COMPUTER AIDED DESIGN; CONTROLLED STUDY; FEMALE; HUMAN; MALE; MEASUREMENT; MONITORING; NIGHT SLEEP; PATIENT; RECORDING; RESPIRATORY AIRFLOW; SLEEP; UPPER RESPIRATORY TRACT;

ALGORITHMS; AUTOMATION; CLUSTER ANALYSIS; FEMALE; HUMANS; MALE; SLEEP; TRACHEA;

EID: 37849187366     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2006.09.012     Document Type: Article

References (28)

1. Malhotra A., and White D.P. Obstructive sleep apnoea. Lancet 360 (2002) 237-245
2. Young T., Peppard P.E., and Gottlieb D.J. Epidemiology of obstructive sleep apnea: a population health perspective. Am. J. Respir. Crit. Care Med. 165 (2002) 1217-1239
3. Pack A.I. Advances in sleep-disordered breathing. Am. J. Respir. Crit. Care Med. 173 (2006) 7-15
4. Teschler H., Berthon-Jones M., Thompson A.B., Henkel A., Henry J., and Konietzko N. Automated continuous positive airway pressure titration for obstructive sleep apnea syndrome. Am. J. Respir. Crit. Care Med. 154 (1996) 734-740
5. Hernandez L., Ballester E., Farré R., Badia J.R., Lobelo R., Navajas D., and Montserrat J.M. Performance of nasal prongs in sleep studies: spectrum of flow-related events. Chest 119 (2001) 442-450
6. Aittokallio T., Saaresranta T., Polo-Kantola P., Nevalainen O., and Polo O. Analysis of inspiratory flow shapes in patients with partial upper airway obstruction during sleep. Chest 119 (2001) 37-44
7. Tou J.T., and Gonzales R.C. Pattern Recognition Principles (1974), Addison-Wesley, Reading, MA
8. Isono S., Feroah T.R., Hajduk E.A., Brant R., Whitelaw W.A., and Remmers J.E. Interaction of cross-sectional area, driving pressure, and airflow of passive velopharynx. J. Appl. Physiol. 83 (1997) 851-859
9. Mansour K.F., Rowley J.A., Meshenish A.A., Shkoukani M.A., and Badr M.S.A. A mathematical model to detect inspiratory flow limitation during sleep. J. Appl. Physiol. 93 (2002) 1084-1092
10. Montserrat J.M., Farré R., Ballester E., Felez M.A., Pasto M., and Navajas D. Evaluation of nasal prongs for estimating nasal flow. Am. J. Respir. Crit. Care Med. 155 (1997) 211-215
11. Thurnheer R., Xie X., and Bloch K.E. Accuracy of nasal cannula pressure recordings for assessment of ventilation during sleep. Am. J. Respir. Crit. Care Med. 164 (2001) 1914-1919
12. Montserrat J.M., and Farré R. Breathing flow disturbances during sleep: can they be accurately assessed by nasal prongs?. Am. J. Respir. Crit. Care Med. 166 (2002) 259-260
13. Norman R.G., Ahmed M.M., Walsleben J.A., and Rapoport D.M. Detection of respiratory events during NPSG: nasal cannula/pressure sensor versus thermistor. Sleep 20 (1997) 1175-1184
14. Ayappa I., Norman R.G., Krieger A.C., Rosen A., O'Malley R.L., and Rapoport D.M. Non-invasive detection of respiratory effort-related arousals (RERAs) by a nasal cannula/pressure transducer system. Sleep 23 (2000) 763-771
15. Taha B.H., Dempsey J.A., Weber S.M., Badr M.S., Skatrud J.B., Young T.B., Jacques A.J., and Seow K.C. Automated detection and classification of sleep-disordered breathing from conventional polysomnography data. Sleep 20 (1997) 991-1001
16. DeCarli F., Nobili L., Gelcich P., and Ferrillo F. A method for the automatic detection of arousals during sleep. Sleep 22 (1999) 561-572
17. Aittokallio T., Gyllenberg M., Järvi J., Nevalainen O., and Polo O. Detection of high-frequency respiratory movements during sleep. Comput. Meth. Programs Biomed. 61 (2000) 171-185
18. 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 Trans. Biomed. Eng. 50 (2003) 686-696
19. Hosselet J.-J., Norman R.G., Ayappa I., and Rapoport D.M. Detection of flow limitation with a nasal cannula/pressure transducer system. Am. J. Respir. Crit. Care Med. 157 (1998) 1461-1467
20. Aittokallio T., Nevalainen O., Pursiheimo U., Saaresranta T., and Polo O. Classification of nasal inspiratory flow shapes by attributed finite automata. Comput. Biomed. Res. 32 (1999) 34-55
21. Saaresranta T., Aittokallio T., Polo-Kantola P., Helenius H., and Polo O. Effect of medroxyprogesterone on inspiratory flow shapes during sleep in postmenopausal women. Respir. Physiol. Neurobiol. 134 (2003) 131-143
22. ∞ norms. IEEE Trans. Syst. Man Cybernet. 21 (1991) 545-554
23. Kermit M., Eide A.J., Lindblad T., and Waldemark K. Treatment of obstructive sleep apnea syndrome by monitoring patients airflow signals. Pattern Recogn. Lett. 21 (2000) 277-281
24. Vazquez J.-C., Tsai W.H., Flemons W.W., Masuda A., Brant R., Hajduk E., Whitelaw W.A., and Remmers J.E. Automated analysis of digital oximetry in the diagnosis of obstructive sleep apnoea. Thorax 55 (2000) 302-307
25. Thurnheer R., Wraith P.K., and Douglas N.J. Influence of age and gender on upper airway resistance in NREM and REM sleep. J. Appl. Physiol. 90 (2001) 981-988
26. Aittokallio T., Farré R., and Montserrat J.M. Inspiratory flow shapes during sleep in a general population sample. Proc. Am. Thorac. Soc. 2 (2005) A762
27. Aittokallio T., Kansanaho J., Kalleinen N., Nevalainen O., and Polo O. Principal components analysis of inspiratory flow shapes. Sleep Med. 4 (2003) S1
28. Aittokallio T., Gyllenberg M., Saaresranta T., and Polo O. Prediction of inspiratory flow shapes during sleep with a mathematical model of upper airway forces. Sleep 26 (2003) 857-863