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Kalaivani, 2020 - Google Patents

Automated recognition of obstructive sleep apnea using ensemble support vector machine classifier

Kalaivani, 2020

Document ID
111997408216644313
Author
Kalaivani V
Publication year
Publication venue
International Journal of Biomedical Engineering and Technology

External Links

Snippet

ECG is mainly used to diagnosis the obstructive sleep apnea (OSA) with a high degree of accuracy in clinical care applications. We have developed a real-time algorithm for the detection of sleep apnea disease based on electrocardiograph (ECG). In this study, features …
Continue reading at www.inderscienceonline.com (other versions)

Classifications

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    • A61B5/48—Other medical applications
    • A61B5/4806—Sleep evaluation
    • A61B5/4818—Sleep apnoea
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0402—Electrocardiography, i.e. ECG
    • A61B5/0452—Detecting specific parameters of the electrocardiograph cycle
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    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7253—Details of waveform analysis characterised by using transforms
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