A novel Mittag-Leffler filter with adjustable parameters demonstrated advantages over classical Gaussian filtering techniques for real ECG-signal denoising.
The novel Mittag-Leffler filter offers potential advantages over classical Gaussian filters for the denoising of ECG signals.
In this paper, a novel form of the Gaussian filter, the Mittag-Leffler filter is presented. This new filter uses the Mittag-Leffler function in the probability-density function. Such Mittag-Leffler distribution is used in the convolution kernel of the filter. The filter has three parameters that may adjust the curve shape due to the filter-forgetting factor. Illustrative examples present the main advantages of the proposed filter compared to classical Gaussian filtering techniques, as well as real ECG-signal denoising. Some implementation notes, along with the Matlab function, are also presented.
Ivo Petráš (Sat,) conducted a other in ECG signal denoising. Mittag-Leffler filter vs. Classical Gaussian filtering techniques was evaluated on ECG-signal denoising performance. A novel Mittag-Leffler filter with adjustable parameters demonstrated advantages over classical Gaussian filtering techniques for real ECG-signal denoising.