Obstructive sleep apnea detection using SVM-based classification of ECG signal features

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2012, Pages 4938-4941

  Almazaydeh, Laiali ^a   Elleithy, Khaled ^a   Faezipour, Miad ^a  

^a University of Bridgeport   (United States)

Author keywords

ECG; feature extraction; PSG; RR interval; Sleep apnea; SVM

Indexed keywords

AUTOMATED CLASSIFICATION; AUTOMATED CLASSIFICATION SYSTEMS; CLASSIFICATION TECHNIQUE; ECG SIGNALS; HUMAN OBSERVERS; OBSTRUCTIVE SLEEP APNEA; POLYSOMNOGRAPHY; PSG; RR INTERVALS; SHORT DURATIONS; SLEEP APNEA; SLEEP DISORDERS; SVM;

CLASSIFICATION (OF INFORMATION); DIAGNOSIS; ELECTROCARDIOGRAPHY; FEATURE EXTRACTION; SUPPORT VECTOR MACHINES;

SLEEP RESEARCH;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; ELECTROCARDIOGRAPHY; HEART RATE; HUMAN; METHODOLOGY; PATHOPHYSIOLOGY; POLYSOMNOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SLEEP DISORDERED BREATHING; SUPPORT VECTOR MACHINE;

ALGORITHMS; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROCARDIOGRAPHY; HEART RATE; HUMANS; PATTERN RECOGNITION, AUTOMATED; POLYSOMNOGRAPHY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SLEEP APNEA, OBSTRUCTIVE; SUPPORT VECTOR MACHINES;

MLCS; MLOWN;

EID: 84880950107     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2012.6347100     Document Type: Conference Paper

References (19)

1. Sleep Disorder Overview. www.neurologychannel.com.
2. th IEEE International Conference on Bioinformatics and Biomedical Engineering (iCBBE), pp. 1-4, May 2011.
3. Sleep Apnea: What Is Sleep Apnea? www.nhlbi.nih.gov.
4. Apnea guide. www.apneaguide.com.
5. Treating Sleep Apnea Could Cut Road Deaths. www.americanvoiceinstitute. org.
6. P. Chazal, T. Penzel and C. Heneghan, "Automated Detection of Obstructive Sleep Apnoeaa at Different Time Scales Using the Electrocardiogram," Institute of Physics Publishing, vol. 25, no. 4, pp. 967-983, Aug. 2004.
7. A. Ng, J. Chung, M. Gohel, W. Yu, K. Fan and T. Wong, "Evaluation of the Performance of Using Mean Absolute Amplitude Analysis of Thoracic and Abdominal Signals for Immediate Indication of Sleep Apnoea Events," Journal of Clinical Nursing, vol. 17, no. 17, pp. 2360-2366, Sep. 2008.
8. E. Goldshtein, A. Tarasiuk and Y. Zigel, "Automatic Detection of Obstructive Sleep Apnea Using Speech Signals," in IEEE Transactions on Biomedical Engineering, vol. 58, no. 5, pp. 1373-1382, May. 2011.
9. D. Alvarez, R. Hornero, D. Abasolo, F. Campo and C. Zamarron, "Nonlinear Characteristics of Blood Oxygen Saturation from Nocturnal Oximetry for Obstructive Sleep Apnoea Detection," Institute of Physics Publishing, vol. 27, no. 4, pp. 399-412, Apr. 2006.
10. st IEEE International Conference on Engineering in Medicine and Biology Society (EMBS 2009), pp. 400-403, Sep. 2009.
11. B. Xie, H. Minn, "Real Time Sleep Apnea Detection by Classifier Combination," in IEEE Transactions on Information Technology in Biomedicine (in Press), 2012.
12. R. Lin, R. Lee, C. Tseng, H. Zhou, C. Chao, J. Jiang, "A New Approach for Identifying Sleep Apnea Syndrome Using Wavelet Transform and Neural Networks," Biomedical Engineering: Applications, Basis & Communications, vol. 18, no. 3, pp. 138-143, 2006.
13. Q. Manrique, A. Hernandez, T. Gonzalez, F. Pallester and C. Dominquez, "Detection of Obstructive Sleep Apnea in ECG Recordings Using Time-Frequency Distributions and Dynamic Features," in Proceedings of the IEEE International Conference on Engineering in Medicine and Biology Society(EMBS 2009), pp. 5559-5562, Sep. 2009.
14. M. Schrader, C. Zywietz, V. Einem, B. Widiger, G. Joseph, "Detection of Sleep Apnea in Single Channel ECGs from the PhysioNet Data Base," Computers in Cardiology 2000, vol. 27, pp. 263-266, Sep. 2000.
15. M. Mendez, D. Ruini, O. Villantieri, M. Matteucci, T. Penzel and A. Bianchi, "Detection of Sleep Apnea from Surface ECG Based on Features Extracted by an Autoregressive Model," in Proceedings of the IEEE International Conference on Engineering in Medicine and Biology Society (EMBS 2007), pp. 6105-6108, Aug. 2007.
16. PhysioNet, www.physionet.org.
17. S. Isa, M. Fanany, W. Jatmiko and A. Murini, "Feature and Model Selection on Automatic Sleep Apnea Detection Using ECG," in International Conference on Computer Science and Information Systems, ICACSIS 2010, pp. 357-362, 2010.
18. P. Langley, E. Bowers and A. Murray, "Principal Component Analysis as Tool for Analyzing Beat-to-Beat Changes in ECG Features: Application To ECG-Derived Respiration," in IEEE Transactions on Biomedical Engineering, vol. 57, no. 4, pp. 821-829, Apr. 2010.
19. B. Yilmaz, M. Asyali, E. Arikan, S. Yektin and F. Ozgen, "Sleep Stage and Obstructive Apneaic Epoch Classification Using Single-Lead ECG," in Biomedical Engineering Online, vol. 9, 2010.