Determination of Characteristic Points Based on Wavelet Change of Electrocardiogram Signal
Jamoljon DjumanovTashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Republic of UzbekistanKamola AbdurashidovaTashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Republic of UzbekistanFarkhat RajabovTashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Republic of UzbekistanShohida AkbarovaTashkent State Technical University Named After Islam Karimov, Tashkent, Republic of Uzbekistan
2021 International Conference on Information Science and Communications Technologies (ICISCT)conference2021en
ABI
Abstract
In order to analyze and diagnose a biosignal-electrocardiogram (ECG) signal generated during a heartbeat on a computer, it is first necessary to automatically identify and locate its QRS characteristic points. The article deals with the programming of the ECG R tooth detection algorithm in LabView, using the currently popular, powerful mathematical tool - wavelet analysis and synthesis.