Automated detection of sleep apnea from electrocardiogram signals using nonlinear parameters

Physiological Measurement

Volumn 32, Issue 3, 2011, Pages 287-303

  Acharya, U Rajendra ^a   Chua, Eric Chern Pin ^b   Faust, Oliver ^a   Lim, Teik Cheng ^c   Lim, Liang Feng Benjamin ^c  

^a DEPARTMENT OF ELECTRONICS AND COMPUTER ENGINEERING   (Singapore)

^b DUKE NUS MEDICAL SCHOOL   (Singapore)

^c SINGAPORE UNIVERSITY OF SOCIAL SCIENCES   (Singapore)

Author keywords

ANN; apnea; correlation dimension; ECG; Hurst exponent; hypopnoea; sleep apnoea

Indexed keywords

BIOMEDICAL SIGNAL PROCESSING; CLASSIFICATION (OF INFORMATION); ELECTROCARDIOGRAPHY; FRACTAL DIMENSION; LYAPUNOV METHODS; PATIENT MONITORING; PHYSIOLOGICAL MODELS; SLEEP RESEARCH;

APNEA; AUTOMATED DETECTION; CORRELATION DIMENSIONS; ELECTROCARDIOGRAM SIGNAL; HURST EXPONENTS; HYPOPNEA; NON-LINEAR PARAMETERS; POLYSOMNOGRAPHY; SLEEP APNEA; SLEEP DISORDERS;

NEURAL NETWORKS;

EID: 79952166244     PISSN: 09673334     EISSN: 13616579     Source Type: Journal    
DOI: 10.1088/0967-3334/32/3/002     Document Type: Article

References (48)

1. Acharya U R, Faust O, Kannathal N, Chua T J and Laxminarayan S 2005 Dynamical analysis of EEG signals at various sle (Pubitemid 41338552)
2. Acharya U R, Joseph K P, Kannathal N, Lim C M and Suri J S 2006 Heart rate variability: a review Med. Biol. Eng. Comput. 44 1031-51 (Pubitemid 47090818)
3. Acharya U R, Suri J S, Spaan J A E and Krishnan S M 2007 Advances in Cardiac Signal Processing (Berlin: Springer)
4. Anderer P et al 2005 An e-health solution for automatic sleep classification according to Rechtschaffen and Kales: validation study of the somnolyzer 24 × 7 utilizing the siesta database Neuropsychobiology 51 115-33 (Pubitemid 40663275)
5. Byron J B, Johnson J T and Newlands S D 2006 Head and Neck Surgery-Otolaryngology vol 1 (Philadelphia, PA: Lippincott Williams & Wilkins)
6. Corthout J, Van Huffel S, Mendez M O, Bianchi A M, Penzel T and Cerutti S 2008 Automatic screening of obstructive sleep apnea from the ECG based on empirical mode decomposition and wavelet analysis Conf. Proc. IEEE Eng. Med. Biol. Soc. 1 3608-11
7. Dangel S, Meier P F, Moser H R, Plibersek S and Shen Y 1999 Time series analysis of sleep EEG Comput. Assist. Phys. pp 93-5
8. Data analysis software http://www.mathworks.com/ (last accessed on 18 August 2009)
9. de Chazal P, Heneghan C, Sheridan E, Reilly R, Nolan P and O'Malley M 2000 Automatic classification of sleep apnoea epochs using the electrocardiogram Comput. Cardiol. 27 745-48 (Pubitemid 32188019)
10. de Chazal P, Heneghan C, Sheridan E, Reilly R, Nolan P and O'Malley M 2003 Automated processing of the single-lead electrocardiogram for the detection of obstructive sleep apnoea IEEE Trans. Biomed. Eng. 50 686-96 (Pubitemid 36723602)
11. de Chazal P, Penzel T and Heneghan C 2004 Automated detection of obstructive sleep apnoea at different time scales using the electrocardiogram Physiol. Meas. 25 967-83 (Pubitemid 39121178)
12. Eckmann J P, Kamphorst S O and Ruelle D 1987 Recurrence plots of dynamical systems Europhys. Lett. 4 973-7
13. Fletcher S W 2005 Clinical Epidemiology: The Essentials (Baltimore, MD: Williams & Wilkins)
14. Fraser A M and Swinney H L 1986 Independent coordinates for strange attractors from mutual information Phys. Rev. A 33 1134-40
15. Garvey J L 2006 ECG techniques and technologies Emerg. Med. Clin. North Am. 24 209-25 (Pubitemid 41674503)
16. Goldberger A L, Amaral L A N, Glass L, Hausdorff J M, Ivanov P Ch, Mark R G, Mietus J E, Moody G B, Peng C K and Stanley H E 2000 PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals Circulation 101 e215-20
17. Grossberger P and Procassia I 1983 Measuring the strangeness of strange attractors Physica D 9 189-208
18. Gumustekin K, Seven B, Karabulut N, Aktas O, Gursan N, Aslan S, Keles M, Varoglu E and Dane S 2004 Effects of sleep deprivation, nicotine, and selenium on wound healing in rats (abstract) Int. J. Neurosci. 114 1433-42 (Pubitemid 39429488)
19. Higuchi T 1988 Approach to an irregular time series on the basis of the fractal theory Physica D 31 277-83
20. Kennel M B, Brown R and Abarbanel H D I 1992 Determining embedding dimension for phase-space reconstruction using a geometrical construction Phys. Rev. A 45 3403
21. Kowallik P, Jacobi I and Jirmann A 2001 Breath-to-breath variability correlates with apnea-hypopnea index in obstructive sleep apnea Chest 119 451-9 (Pubitemid 32163756)
22. Kunhimangalam R, Joseph P K and Sujith O K 2008 Nonlinear analysis of EEG signals: surrogate data analysis IRBM J. 29 239-44
23. Lippman R P 1989 Pattern classification using neural networks IEEE Commun. Mag. 27 47-64
24. Maier C, Rödler V, Laguna P and Dickhaus H 2007 Dynamic analysis of multi lead ECG recordings for detection and categorization of respiratory events during sleep Comput. Cardiol. 34 493-6
25. Mandelbrot B B 1982 The Fractal Geometry of Nature (San Francisco, CA: W H Freeman)
26. Mendez M O, Corthout J, Van Huffel S, Matteucci M, Penzel T, Cerutti S and Bianchi A M 2008 Automatic screening of obstructive sleep apnea from the ECG based on empirical mode decomposition and wavelet analysis Conf. Proc. IEEE Eng. Med. Biol. Soc. 1 3608-11
27. Mendez M O, Ruini D D, Villantieri O P, Matteucci M, Penzel T, Cerutti S and Bianchi A M 2007 Detection of sleep apnea from surface ECG based on features extracted by an autoregressive model Conf. Proc. IEEE Eng. Med. Biol. Soc. 1 6105-08
28. Mietus J E, Peng C K, Ivanov P Ch and Goldberger A L 2000 Detection of obstructive sleep apnea from cardiac interbeat interval time series Comp. Cardio. 27 753-6 (Pubitemid 32188017)
29. Mijović B, Corthout J, Vandeput S, Mendez M, Cerutti S and Van Huffel S 2001 Detection of obstructive sleep apnea by empirical mode decomposition on tachogram IFMBE Proc. 2 247-51
30. Mindell J A and Owens J A 2003 A Clinical Guide to Pediatric Sleep: Diagnosis and Management of Sleep Problems (Philadelphia, PA: Lippincott Williams & Wilkins)
31. Nabili S and Verneuil A 2010 Sleep Apnea WebMD http://www.medicinenet. com/sleep-apnea/article.htm (accessed on November 2010)
32. Nilsen K, Zilberg E, Burton D, Khandoker A H and Palaniswami M 2008 Variations in the accuracy of the ECG-based detection of obstructive sleep apnoea (OSA) for different numbers of ECG leads and categories of OSA events Conf. Proc. IEEE Eng. Med. Biol. Soc. 1 3492-5
33. Norman R G, Rapoport D M and Ayappa I 2007 Detection of flow limitation in obstructive sleep apnea with an artificial neural network Physiol. Meas. 28 1089
34. Penzel T, McNames J, de Chazal P, Raymond B, Murray A and Moody G 2002 Systematic comparison of different algorithms for apnoea detection based on electrocardiogram recordings Med. Biol. Eng. Comput. 40 402-7 (Pubitemid 34982531)
35. Pincus S M and Keefe D L 1992 Quantification of hormone pulsatility via an approximate entropy algorithm Am. J. Physiol. 262 E741-54
36. Rechtschaffen A and Kales A 1968 A Manual of Standardized Terminology Techniques, and Scoring System for Sleep States of Human Subjects US Department of Health, Education, and Welfare Public Health Service-NIH/NIND
37. Roche F, Duverney D, Court-Fortune I, Pichot V, Costes F, Lacour J R, Antoniadis J A, Gaspoz J M and Barthelemy J C 2002 Cardiac interbeat interval increment for the identification of obstructive sleep apnea Pacing Clin. Electrophysiol. 25 1192-9
38. Rosenstien M, Colins J J and De Luca C J 1993 A practical method for calculating largest Lyapunov exponents from small data sets Physica D 65 117-34
39. Shouldice R B, O'Brien L M, O'Brien C, de Chazal P, Gozal D and Heneghan C 2004 Detection of obstructive sleep apnea in pediatric subjects using surface lead electrocardiogram features Sleep 27 784-92 (Pubitemid 38823377)
40. Sprott J C and Rowlands G 1995 Chaos Data Analyzer: The Professional Version (New York: American Institute of Physics)
41. Stein J H 1998 Internal Medicine (St Louis, MO: Mosby)
42. Takens F 1981 Detecting strange attractors in turbulence Dynamical Systems and Turbulence ed D Rand and L S Young (Berlin: Springer)
43. Taktak A F G, Simpson S, Patel S and Meyer G 2000 Neural network analysis of oxygenation signals in infants during sleep Physiol. Meas. 21 N11
44. Theiler J, Eubank S, Longtin A, Galdrikian B and Farmer J D 1992 Testing for nonlinearity in time series: the method of surrogate data Physica D 58 77-94
45. Thomas R J, Mietus J E, Peng C K and Goldberger A L 2005 An electrocardiogram based technique to assess cardiopulmonary coupling during sleep Sleep 28 1151-61 (Pubitemid 41279513)
46. Vrady P, Micsik T, Benedek S and Benyó Z 2002 A novel method for the detection of apnea and hypopnea events in respiratory signals IEEE Trans. Biomed. Eng. 49 936-42 (Pubitemid 34925462)
47. VRA software (accessed on November 2010) http://home.netcom.com/ ∼eugenek/download.html
48. Young T, Palta M, Dempsey J, Skatrud J, Weber S and Badr S 1993 The occurrence of sleep-disordered breathing among middle-aged adults N. Engl. J. Med. 328 1230-5 (Pubitemid 23115702)