Signal Detection based on Lifting Wavelet and Its Application to ECG Signal Processing

K. Kuzume, K. Niijima, and S. Takano (Japan)


Lifting wavelet transform, Learning, Signal detection, Electrocardiogram


This paper presents a signal detection method based on an integer-type Haar lifting wavelet transform. We apply it to electrocardiogram (ECG) signal processing. First, we propose a method for learning free parameters contained in this transform. We learn these parameters so that the ratio of a lifting wavelet coefficient to a corresponding old one is two. We utilize the value as an indicator to identify the target signal. As a practical application, we employ the method to detect characteristic waves in ECG signals. The proposed method is also suitable to make a real-time signal detection system with a small amount of hardware.

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