Improved fast filtering algorithm with low distortion for dynamic electrocardiogram

Abstract

Dynamic electrocardiogram is of great application value in clinical medicine. This paper proposes a fast filtering algorithm in preprocess of dynamic cardio-electric signal. First, it synthetically compares different QRS wave group detection algorithms, and adapts dynamic threshold detection method in order to meet fast testing requirement. Then it chooses QRS wave group as a switch, using different smoothing filtering algorithms in different parts of the signal. The simulation shows its feasibility in QRS wave group detection and recognition, and the degree of distortion is lowered after filtering.