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A ‘fuzzy’ method for interpreting fMRI recordings

October 21, 2015 by

A method for data analysis used in medical diagnostics has been tested for the first time on resting state functional magnetic resonance imaging (fMRI) data. The method, which relies on "fuzziness," proved to be as robust as the well-known and regularly used sample entropy (SampEn) method but with the advantage of offering greater detail than sample entropy

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