Resting state heart-brain electroencephalogram signal coupling method

Abstract

This invention discloses a method for coupling cardiac and brain electrical signals under resting conditions, comprising the following steps: acquiring raw electrocardiogram (ECG) signals and raw brain electrical signals; performing a first preprocessing on the raw ECG signals to obtain an instantaneous heart rate power spectrum; performing a second preprocessing on the raw brain electrical signals to obtain a first brain electrical power spectrum and a second brain electrical power spectrum for each preset frequency band; determining ECG fitting power data and cardiac-brain fitting power data based on the instantaneous heart rate power spectrum and the first brain electrical power spectrum, respectively; determining the F-statistic based on the ECG fitting power data and the cardiac-brain fitting power data; determining the ECG power phase space and the brain electrical power phase space based on the instantaneous heart rate power spectrum and the second brain electrical power spectrum; and determining a first nonlinear correlation coefficient and a second nonlinear correlation coefficient based on the ECG power phase space and the brain electrical power phase space. This invention, by calculating the coupling relationship and degree of coupling between the heart and brain from both linear and nonlinear perspectives, can comprehensively and accurately characterize the complex dynamic relationship between the heart and brain.

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