The raw ECG signal processing and the detection of QRS complex
نویسندگان
چکیده
The recognition of data from the electrocardiogram (ECG) is the important area of the biomedical signal processing. Identification of ECG signals in real time is closely related to the classification of the patient's diagnosis, inspected for the purpose of diagnosis of the cardiac status. In our paper we analyze the suitable alorithms for the extraction of QRS complex from the raw ECG data. This algorithms will be implemented in the ECG SYS (electrocardiogram system) software. This system will serve as the support decision tool for the doctors and especially for the cardiologists. The ECG support decision system will work with the machine learning algorithms to detect the various diagnoses and anomalies in the heart function. The paper is devoted to the processing raw ECG data and the QRS complex detection. Keywords-component; ECG parameters; ECG patterns; QRS complex; online detection
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