Methods For Detection and Classification In ECG Analysis (2007)
Abstract / truncated to 115 words
The first part of the presented work is focused on measuring of QT intervals. QT interval can be an indicator of the cardiovascular health of the patient and detect any potential abnormalities. The QT interval is measured from the onset of the QRS complex to the end of the T wave. However, measurements for the end of the T wave are often highly subjective and the corresponding verification is difficult. Here we propose two methods of QT interval measuring – wavelet based and template matching method. Methods are compared with each other and tested on standard QT database. The second part of the presented work is focused on modelling of arrhythmias using McSharry’s model followed ... toggle 5 keywordsECG – qt interval – wavelet transform – neural networks – mcsharry’s model
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