Independent Sub-Band Function Applied in Electrocardiogram Signal Processing

The QRS complexes is the most string waveform within the electrocardiogram (ECG). Because QRS detection provides the fundamentals for automated ECG analysis algorithms, within the last decades many algorithms have been developed, each of which has different strengths and weaknesses. In this paper, we deal with the elimination of artifacts (electrodes, muscle, etc.) from the ECG signal, in order to estimate the mixing parameters in real time, we present algorithm employs a modified signal processing technique to accomplish blind source separation (independent sub-band function). Thus we can use blind source separation (BSS) to apply to separate the QRS complexes from ECG signals. The proposed algorithms perform better as compared with published results of other QRS detectors tested on the same ECG data.