Event evoked potential extraction device based on eigenmode function coherence analysis

Abstract

The invention discloses an event evoked potential extraction device based on eigenmode function coherence analysis. The event evoked potential extraction device is mainly technically characterized by comprising the following steps: collecting a mixed signal containing spontaneous electroencephalogram and evoked electroencephalogram under event stimulation through an electroencephalogram test system; preprocessing the electroencephalogram mixed signals, then inputting the preprocessed electroencephalogram mixed signals into an eigenmode function sequence obtaining unit to be decomposed, and obtaining a qualified IMFs sequence ; then inputting the IMFs component sequence into an IMFs coherence analysis and screening unit, calculating a coherence value of each IMFs component and spontaneous electroencephalogram before stimulation by combining the characteristics of the spontaneous electroencephalogram before stimulation, and screening and excluding the IMF component with the maximum coherence with the spontaneous electroencephalogram; and recombining the remaining components, wherein an obtained recombined signal is an event induction signal. According to the method, the high-quality ERP signals are rapidly and effectively extracted based on the local features of the electroencephalogram signals, no fixed requirement for priori knowledge and repeated stimulation times exists, and compared with a traditional superposition average method, extraction is more efficient and more accurate.

Description

technical field [0001] The invention relates to an event-related potential extraction method and device, belonging to the technical field of biomedical signal processing, in particular to an event-evoked potential extraction method and device based on eigenmode function coherent analysis. Background technique [0002] When the cerebral cortex is active, a large number of neurons will synchronously generate post-synaptic potentials, and the summation forms complex and irregular EEG signals (Electroencephalogram, EEG). The intensity of the EEG signal is very weak, and the electrical activity of a single neuron cannot be recorded in the scalp, only the synchronous discharge of neuron groups can be recorded. Normal spontaneous EEG is generally between a few microvolts and tens of microvolts, and by adding one or more (or multiple) stimuli to a certain part of the sensory system or the brain, when the stimulus is given or withdrawn, it will It will cause potential changes in bra...

AI Technical Summary

Problems solved by technology

However, due to the adaptability and fatigue of the brain nerves to each stimulation, the ERP amplitude and latency parameters caused by each stimulation are not exactly the same, and most methods cannot fully reflect the latency and amplitude of a single evoked potential.

In addition, the inherent limitations and applicability of various methods are different, so there is still no one kind of event-evoked potential extraction algorithm that is suitable for all types of events.

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