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- Title
Feature selection on single-lead ECG for obstructive sleep apnea diagnosis.
- Authors
GÜRÜL, Hüseyin; ŞAHİN, Mesut; FERİKOĞLU, Abdullah
- Abstract
Many articles that appeared in the literature agreed upon the feasibility of diagnosing obstructive sleep apnea (OSA) with a single-lead electrocardiogram. Although high accuracies have been achieved in detection of apneic episodes and classification into apnea/hypopnea, there has not been a consensus on the best method of selecting the feature parameters. This study presents a classification scheme for OSA using common features belonging to the time domain, frequency domain, and nonlinear calculations of heart rate variability analysis, and then proposes a method of feature selection based on correlation matrices (CMs). The results show that the CMs can be utilized in minimizing the feature sets used for any type of diagnosis.
- Subjects
FEATURE selection; ELECTROCARDIOGRAPHY; SLEEP apnea syndromes; PARAMETER estimation; HEART beat; MATRICES (Mathematics); DIAGNOSIS
- Publication
Turkish Journal of Electrical Engineering & Computer Sciences, 2014, Vol 22, Issue 2, p465
- ISSN
1300-0632
- Publication type
Article
- DOI
10.3906/elk-1207-132