Fuzzy Cross Recurrence Analysis and Tensor Decomposition of Major-Depression Time-Series Data

Abstract

The mechanism underlying the complex behavior of major or clinical depression has been hypothesized as a dynamical system. This study presents an analysis of mood self-assessment in major depression using the method of fuzzy cross recurrence plots and tensor decomposition. The relationships between positive and negative mental states can be visualized and quantified using the proposed approach. The discovery of cross recurrences or dynamic correlations of the two opposite mental states can be helpful for targeted therapy in the management of personalized depression either under or without antidepressant drugs.