Wang Jun

TL;DR: In this paper, an epileptic electroencephalography amplitude irreversibility analysis method based on equivalent array and standard deviation was proposed, which comprises the steps that an electroencephalogram signal is subjected to negative value processing, a multi-dimensional delay vector is established and subjected to equivalent array signifying, amplitude fluctuation of the multi-dimension vector is classified, an amplitude fluctuating mark of the multidimensional vector is used for correcting an equivalent array type, probability distribution for correcting equivalent array is counted and calculated, and the difference of probability distribution of the array type

TL;DR: In this paper, a physiological signal nonequilibrium analysis method based on a Heaviside kernel function is proposed, in which the maximum distances of all space vectors are calculated, then the relations between the distances and sequence tolerances are compared, the none-quilibrium performance of physiological signals is quantified through the probability distribution difference between different corresponding relations, and the problem that time sequence corresponding vector comparison cannot be achieved in the kernel function conversion process is effectively solved.

TL;DR: In this paper, a method for analyzing imbalance of physiological signals based on a Heaviside kernel function is proposed, where the imbalance characteristics of a physiological system are measured through the difference between magnitude relationships of vectors in a physiological sequence reconstruction space, and the relationships between these distances and a sequence tolerance are compared.