Method, device and processor for extracting and processing MMN signal features for evaluating sensory gating function and storage medium thereof

Abstract

The invention relates to a method for extracting and processing MMN signal features for evaluating a sensory gating function. The method comprises the following steps: collecting brain wave data; performing MMN preprocessing; performing umerical statistical analysis on the amplitude and the incubation period of the MMN by adopting a feature analysis method; performing machine learning classification on the time-dependent potential to obtain a classification result; comparing the event-related potential waveforms before and after the treatment of the patient with the three groups of average levels to obtain an analysis result; and extracting the MMN amplitude and the incubation period. The invention further relates to a device and a processor for extracting and processing the MMN signal features for evaluating the sensory gating function and a storage medium thereof. According to the method, the device and the processor for extracting and processing the MMN signal characteristics for evaluating the sensory gating function and the computer readable storage medium thereof, the waveform and the amplitude of a tested MMN curve and the waveform and the amplitude of a standard curve are compared, and the sensory gating function is evaluated; and an MMN sensory gating system is used to predict mental diseases and evaluate the treatment effect of the patient through machine learning.

Description

technical field [0001] The invention relates to the field of electroencephalophysiological indicators for gating function evaluation, and specifically refers to a method, device, processor and computer-readable storage medium for extracting and processing MMN signal features for evaluating sensory gating function. Background technique [0002] Sensory gating dysfunction is a prominent endophenotype characteristic of patients with schizophrenia, and the startle reflex test (PPI), which reflects the sensory gating function of animals, is often used as a characteristic index to establish animal models of schizophrenia. The development of accurate biological indicators for evaluating human sensory gating function is of great significance for clinically distinguishing schizophrenia from other mental diseases. [0003] Event-related potential MMN (Mismatch Negativity, MMN, mismatch negative wave) is a standard stimulus and deviation stimulus that appear in a certain ratio even wit...

AI Technical Summary

Problems solved by technology

A good sensory gating function can filter the background information and focus on the target. On the contrary, it cannot filter the irrelevant background interference, and it is difficult for the patient to grasp the target. symptom

[0004] Current clinical studies...

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