Method for effectively acquiring event-related magnetic field information in magnetoencephalogram signals

Abstract

The invention discloses a method for effectively acquiring event-related magnetic field information in magnetoencephalogram signals. The method includes the steps of firstly, collecting and preprocessing magnetoencephalogram data; secondly, building a time-frequency atom database; thirdly, using a single-channel matching pursuit algorithm to build a linear combination; fourthly, forming a multi-channel matching pursuit algorithm; fifthly, determining iteration termination by the total residual energy of all channels so as to obtain atoms after signal decomposition; sixthly, removing the atoms representing artifact noise, and rebuilding the signals. The method has the advantages that the magnetoencephalogram signals are post-processed by the method, stimulation times can be reduced greatly, and test results are prevented from being affected by the fatigue, which is caused by long-time and repeated stimulation, of a scanned person; the training amount of a to-be-tested person is reduced, the requirements of the to-be-tested person are lowered, and the selection range of to-be-tested persons of clinical researches is expanded; data collecting time is reduced, research cost is lowered, and the clinical actual researches and popularization and application of event-related magnetic fields are benefited.

Description

technical field The invention relates to the technical field of image and signal processing, in particular to a method for effectively acquiring event-related magnetic field information in magnetoencephalogram signals. Background technique Event-related field (EventRelatedField, ERF) refers to the process of external or endogenous stimulation acting on the human sensory system or a certain part of the brain, and the process of transmitting information between the peripheral nervous system and the central nervous system caused by the stimulation or withdrawal of stimulation. The weak magnetic field changes generated in the In the research of brain science, the application of event-related magnetic field is very extensive. At present, event-related magnetic fields have been used in neuroscience research, clinical examination and surgery, anesthesia monitoring, and nerve injury assessment and other fields. The superposition average method widely used in practical application...

AI Technical Summary

Problems solved by technology

The technical problem mainly solved by the present invention is to provide a method for effectively obtaining event-related magnetic field information in magnetoencephalogram signals, which can solve the above-mentioned problems existing in existing data collection and post-processing methods

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