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The ECG is a representative signal containing information about the condition of the heart. The shape and size of the P-QRS-T wave, the time intervals between its various peaks, etc., may contain useful information about the nature of disease afflicting the heart. However, the human observer can not directly monitor these subtle details. Besides, since biosignals are highly subjective, the symptoms...
In this paper, a fractional digital differentiation-based algorithm for detecting R wave in QRS complex of electrocardiogram (ECG) is developed. A FIR bandpass filter, whose coefficients only depend on fractional orders, reduces various noises present in ECG signals and generates peaks corresponding to the ECG parts with high slopes. This filter is followed by nonlinear transforms and smoothing to...
The paper presents a new algorithm based on digital fractional order differentiation for P and T-waves detection and delineation. It is simple to implement and performs in one step high frequency noise filtering and differentiation. The characteristics of the resulting filter depend only on two parameters: the fractional negative order (fractional integration) and the filter order. Tests of the algorithm...
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