Cardiac rhythm tracking in electrocardiographic signals by morphological transform-based singularity detector

Cardiac rhythm tracking in electrocardiographic (ECG) signals is one of the essential tasks in heart disease diagnosis. A morphological derivative transform-based singularity detector (MMDTSD) technique is developed for the detection of singular points in the finite non-derivative signal and applied for atrial and ventricular events tracking in ECG. The MMDTSD technique is conducted by substituting the traditional derivative with a multiscale morphological derivative. The cardiac characteristics in ECG can be considered as corresponding to singular points and they can be reliably detected by the proposed MMDTSD technique. Test results indicate that the proposed technique can enhance the capability of arrhythmia detection in cardiac instrumentation system.