Transient brain power supply positioning method and system based on non-negative block sparse Bayesian learning

Abstract

The invention discloses a transient brain power supply positioning method and system based on non-negative block sparse Bayesian learning. The method comprises the steps: firstly collecting a transient multi-channel EEG, calculating a sample covariance matrix, and weighting each column of the matrix, which can be represented as non-negative block sparse representation on each brain region after Laplace smoothing; then setting an iteration stop condition and an initial value of a non-negative brain region power sparse support vector; iteratively updating a posterior mean value and a covariance of the non-negative brain region power vector based on non-negative Gaussian distribution, and updating a non-negative brain region power sparse support vector according to the posterior mean value and the covariance; and finally, giving a source positioning result by using the latest non-negative brain region power sparse support vector. According to the invention, brain region non-negative block sparse representation of covariance vectors is utilized, expectation and variance of non-negative Gaussian posterior distribution are combined, and the transient EEG source localization NNBSBL method is given; and the method does not need to predict or estimate a noise covariance matrix, is high in positioning precision and resolution, and provides a technical means for the fields of cognitive psychology, brain-computer interfaces, nerve diagnosis and treatment and the like.

Description

technical field [0001] The invention relates to the technical field of electroencephalogram (EEG) traceability, in particular to a method and system for locating transient brain power sources based on Non-Negative Block Sparse Bayesian Learning (NNBSBL). Background technique [0002] Electroencephalogram (EEG) is a potential signal that can be recorded along with brain activity. It is of great significance for studying brain activity, evaluating brain function, clinical and psychological research, and brain-computer interface. EEG includes two forms: transient EEG and steady-state EEG. Transient EEG is manifested as a short-duration EEG waveform with certain characteristics, while steady-state EEG is associated with a specific frequency for a longer period of time. Transient EEG can be induced, such as various forms of transient evoked potentials, or spontaneously, such as the spike (sharp) slow complex during epileptic seizures. [0003] The source location problem of EEG,...

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