- Title
- ECG arrhythmia classification using time frequency distribution techniques
- Creator
- Sultan Qurraie, Safa; Ghorbani Afkhami, Rashid
- Relation
- Biomedical Engineering Letters Vol. 7, Issue 4, p. 325-332
- Publisher Link
- http://dx.doi.org/10.1007/s13534-017-0043-2
- Publisher
- Springer
- Resource Type
- journal article
- Date
- 2017
- Description
- In this paper, we focus on classifying cardiac arrhythmias. The MIT-BIH database is used with 14 original classes of labeling which is then mapped into 5 more general classes, using the Association for the Advancement of Medical Instrumentation standard. Three types of features were selected with a focus on the time-frequency aspects of ECG signal. After using the Wigner-Ville distribution the time-frequency plane is split into 9 windows considering the frequency bandwidth and time duration of ECG segments and peaks. The summation over these windows are employed as pseudo-energy features in classification. The "subject-oriented" scheme is used in classification, meaning the train and test sets include samples from different subjects. The subject-oriented method avoids the possible overfitting issues and guaranties the authenticity of the classification. The overall sensitivity and positive predictivity of classification is 99.67 and 98.92%, respectively, which shows a significant improvement over previous studies.
- Subject
- cardiac arrhythmia; classification; decision tree; ensemble learner; time–frequency analysis; Wigner–Ville distribution
- Identifier
- http://hdl.handle.net/1959.13/1396457
- Identifier
- uon:34043
- Identifier
- ISSN:2093-9868
- Language
- eng
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