A novel entropy method for classification of biosignals
نویسندگان
چکیده
The paper introduces entropy as a measure for 1D signals. We propose as entropy measure the relationship between the crest of the signal (i.e. its portion contained between the absolute minimum and maximum) and the energy of the signal. A linear transformation of 2D signals into 1D signals is also illustrated. The experimental results are compared to several fuzzy entropy measures and other well-known methods in literature. Experiments have been carried out on medical images from a large mammograms database; this choice is due to the high-degree of difficulty of this kind of images and the strong interest in the scientific community on medical images. The capability of the methods was tested in order to discriminate between benignant and malignant microcalcifications.
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