Cross-modal causal relationship analysis method based on EEG-fNIRS

The invention discloses a cross-modal causal relationship analysis method based on EEG-fNIRS, and the method comprises the steps: firstly, carrying out the synchronous collection and preprocessing of a multi-channel EEG signal and a near-infrared signal, carrying out the variational mode decompositi...

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Bibliographic Details
Main Authors SHE QINGSHAN, GAO YUNYUAN, ZHU RENFEI
Format Patent
LanguageChinese
English
Published 30.01.2024
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DIAGNOSIS
ELECTRIC DIGITAL DATA PROCESSING
HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
MEDICAL OR VETERINARY SCIENCE
PHYSICS
SURGERY
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Summary:The invention discloses a cross-modal causal relationship analysis method based on EEG-fNIRS, and the method comprises the steps: firstly, carrying out the synchronous collection and preprocessing of a multi-channel EEG signal and a near-infrared signal, carrying out the variational mode decomposition of the preprocessed EEG signal and near-infrared signal, and extracting the sub-band signals of the EEG signal at different frequency bands; secondly, short-time Fourier transform is carried out on the electroencephalogram signals of different frequency bands, and the electroencephalogram signals with the same sampling frequency as the near-infrared signals are obtained; and then calculating a value of improved convergence cross mapping CMVGP-CCM based on a collaborative multi-dimensional Gaussian process, namely a causal intensity value, according to spatial position information cross-modality. And finally, performing neurovascular coupling analysis on different characteristic frequency bands based on the causa
Bibliography:Application Number: CN202311680968