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Emotion regulation ability survey method based on frontal lobe EEG lateralization and ERP

A technology for regulating ability and emotion, which is applied in the field of testing emotion regulating ability, can solve the problems that test results are easily affected by time, achieve considerable social benefits, avoid diagnostic errors, and improve accuracy

Inactive Publication Date: 2018-01-30
TIANJIN UNIV
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Problems solved by technology

[0004] The lateralization of the frontal lobe EEG is to measure the emotional regulation ability through the spontaneous EEG in the resting state, and the spontaneous EEG in the resting state will fluctuate to a certain extent due to the influence of the state of the day, so the test results are easily affected by time. Impact

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  • Emotion regulation ability survey method based on frontal lobe EEG lateralization and ERP
  • Emotion regulation ability survey method based on frontal lobe EEG lateralization and ERP
  • Emotion regulation ability survey method based on frontal lobe EEG lateralization and ERP

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Embodiment Construction

[0038] The present invention will be further described below in conjunction with the accompanying drawings.

[0039] The present invention proposes a new method for testing emotion regulation ability. The traditional way of testing emotional regulation ability is to use questionnaires to score. This method is highly subjective and depends on the experience of the main tester. The flow chart of the emotion regulation ability testing method based on frontal lobe EEG lateralization and ERP provided by the present invention is as follows figure 1 Shown: Use Psychtoolbox to write the stimulation interface, present the interface through the computer monitor, collect the EEG signals in the resting state and the Oddball task state, after preprocessing such as downsampling and filtering, and then extract the power spectrum features of the resting EEG signal, calculate The energy of the alpha frequency band of the EEG signal is used to obtain the lateralization coefficient; the data of...

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Abstract

The invention discloses an emotion regulation ability survey method based on frontal lobe EEG lateralization and ERP. Resting state EEG signals and task state EEG signals are acquired; filtering and down-sampling preprocessing is performed on the acquired resting state EEG signals and the task state EEG signals; power spectrum feature extraction is performed; event related potential extraction isperformed; the lateralization coefficient B and the P300 difference coefficient E are calculated; if B>0 and E>0, the emotion regulation ability is great; if B>0 or E>0, the emotion regulation abilityis common; and if B<0 and E<0, the emotion regulation ability is poor. The diagnostic error caused by subjectivity can be avoided, the objective and reliable result based on the electroencephalogramcan be provided, and a set of perfect neural survey method can be obtained through further research so that the emotion regulation ability survey accuracy can be enhanced and the considerable social benefit and economic benefit can be acquired.

Description

technical field [0001] The invention relates to a new method for testing emotion regulation ability, more specifically, relates to a method for testing emotion regulation ability based on frontal lobe EEG lateralization and ERP. Background technique [0002] Emotion regulation (ER) is a process in which individuals exert influence on the occurrence, experience, and expression of emotions, and it is also a dynamic process that changes the occurrence, duration, internal experience, and physiological behavioral responses of emotions. Through emotion regulation, individuals can make rapid and effective adaptive responses to changing social situations and achieve individual goals. The level of emotional regulation ability plays an important role in the individual's mental health and life happiness. At present, the evaluation of emotion regulation ability mainly adopts questionnaire survey or self-report. These diagnostic methods are highly subjective. How to objectively and effe...

Claims

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Application Information

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IPC IPC(8): G16H50/30
Inventor 张力新郭冬月刘爽刘潇雅仝晶晶何雨晨柯余峰明东
Owner TIANJIN UNIV
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