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Support vector machines for automated recognition of obstructive sleep apnea syndrome from ECG recordings

Khandoker, AH, Palaniswami, M and Karmakar, Chandan 2009, Support vector machines for automated recognition of obstructive sleep apnea syndrome from ECG recordings, IEEE Transactions on Information Technology in Biomedicine, vol. 13, no. 1, pp. 37-48, doi: 10.1109/TITB.2008.2004495.

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Title Support vector machines for automated recognition of obstructive sleep apnea syndrome from ECG recordings
Author(s) Khandoker, AH
Palaniswami, M
Karmakar, ChandanORCID iD for Karmakar, Chandan orcid.org/0000-0003-1814-0856
Journal name IEEE Transactions on Information Technology in Biomedicine
Volume number 13
Issue number 1
Start page 37
End page 48
Total pages 12
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2009-01
ISSN 1089-7771
1558-0032
Keyword(s) Adult
Aged
Algorithms
Artificial Intelligence
Bayes Theorem
Diagnosis, Computer-Assisted
Diagnostic Errors
Electrocardiography
Electrocardiography, Ambulatory
Female
Heart Rate
Humans
Male
Middle Aged
Pattern Recognition, Automated
ROC Curve
Reproducibility of Results
Sensitivity and Specificity
Sleep Apnea, Obstructive
Science & Technology
Technology
Life Sciences & Biomedicine
Computer Science, Information Systems
Computer Science, Interdisciplinary Applications
Mathematical & Computational Biology
Medical Informatics
Computer Science
ECG-derived respiration (EDR)
heart rate variability (HRV)
obstructive sleep apnea
support vector machines (SVMs)
wavelet
HEART-RATE-VARIABILITY
WAVELET TRANSFORM
SPECTRAL-ANALYSIS
NEURAL-NETWORKS
ELECTROCARDIOGRAM
CLASSIFICATION
FREQUENCY
ADULTS
IDENTIFICATION
HYPERTENSION
Language eng
DOI 10.1109/TITB.2008.2004495
Field of Research 08 Information And Computing Sciences
09 Engineering
11 Medical And Health Sciences
HERDC Research category CN.1 Other journal article
Copyright notice ©2009, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30075741

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