One-step wavelet-based processing for wandering and noise removing in ECG signals

This paper illustrates the application of the Discrete Wavelet Trans- form (DWT) to the processing of electrocardiogram (ECG) for wandering and noise suppression. The proposed scheme allows reducing the computational complexity, while its fixed-point modeling shows the expected performance of pos sible future portable hardware implementations. The system has been tested usi ng synthetic ECG signals, which allow to accurately measure the effect of the proposed processing. M oreover, results from real abdominal ECG signals acquired from pregnant women are presented in order to validate the presented ap proach.