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The abnormal intra-QRS potentials (AIQP) have been proposed to evaluate the risk of ventricular arrhythmias. However, the extremely low signal-to-noise ratio (AIQP vs. normal QRS) and the overlap between AIQP and normal QRS would limit the accuracy of AIQP estimation. This study proposed a multi-step linear prediction modeling to estimate all of the unpredictable intra-QRS potentials (UIQP) for evaluating...
The abnormal intra-QRS potentials (AIQPs) from a signal-averaged electrocardiogram (SAECG) have been proposed to indicate the risk of ventricular arrhythmias. This study developed a new method based on the prediction error filtering for the extraction of AIQPs. Two sequential SAECGs with the same noise level were used as desired and reference input signals to estimate the normal QRS and AIQPs. The...
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