ECG arrhythmia classification based on logistic model tree
نویسندگان
چکیده
منابع مشابه
ECG arrhythmia classification based on logistic model tree
This paper presents a diagnostic system for classification of cardiac arrhythmia from ECG data, using Logistic Model Tree (LMT) classifier. Clinically useful information in the ECG is found in the intervals and amplitudes of the characteristic waves. Any abnormality in the wave shape and duration of the wave features of the ECG is considered as arrhythmia. The amplitude and duration of the char...
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An important tool for the heart disease diagnosis is the analysis of electrocardiogram (ECG) signals, since the noninvasive nature and simplicity of the ECG exam. According to the application, ECG data analysis consists of steps such as preprocessing, segmentation, feature extraction and classification aiming to detect cardiac arrhythmias (i.e., cardiac rhythm abnormalities). Aiming to made a f...
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ژورنال
عنوان ژورنال: Journal of Biomedical Science and Engineering
سال: 2009
ISSN: 1937-6871,1937-688X
DOI: 10.4236/jbise.2009.26058