Directed dynamic brain function network multiclass emotion recognition construction method and device

A brain function network and emotion recognition technology, which is applied in psychological devices, medical science, sensors, etc., can solve problems such as lack of information, inability to obtain channel information flow, etc.

Inactive Publication Date: 2020-05-15
WUYI UNIV
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Problems solved by technology

However, the regional interaction of the brain is time-varying, especially the interaction between brain regions is highly dynamic and non-stationary, so the static network cannot reflect the whole brain activity on the time scale
In addition, the undirected brain function matrix can only reflect the relationship between channels, but cannot obtain the information flow between channels, which will also cause information loss when building a brain network

Method used

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  • Directed dynamic brain function network multiclass emotion recognition construction method and device
  • Directed dynamic brain function network multiclass emotion recognition construction method and device
  • Directed dynamic brain function network multiclass emotion recognition construction method and device

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Embodiment Construction

[0038] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0039] It should be noted that, if there is no conflict, various features in the embodiments of the present invention may be combined with each other, and all of them are within the protection scope of the present invention. In addition, although the functional modules are divided in the schematic diagram of the device, and the logical order is shown in the flowchart, in some cases, the division of modules in the device or the sequence shown in the flowchart can be performed in different ways. or the steps described.

[0040] refer to figure 1 , the first embodiment of the present invention provi...

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Abstract

The invention discloses a directed dynamic brain function network multiclass emotion recognition construction method and device. The method comprises the following steps: preprocessing acquired electroencephalogram data, splitting the electroencephalogram data into four standard sub-bands; performing time window partitioning on electroencephalogram signals of each standard sub-band; and calculating a directed brain function network matrix through a GPDC (general purpose digital computer), and further performing dynamic planning on the directed brain function network matrix according to time sequences, so as to obtain a dynamic network on a certain time scale. Performance parameters of information communication of the obtained dynamic network can be calculated, the performance parameters comprise overall efficiency and partial efficiency, and parameters of different emotions can be statistically analyzed.

Description

technical field [0001] The invention relates to the technical field of EEG data processing, in particular to a construction method and device for directional dynamic brain function network multi-type emotion recognition. Background technique [0002] At present, with the development of EEG processing methods, people have begun to pay attention to EEG-based emotion recognition, and try to decode emotion-related neural activities. The essence is the processing of EEG data, which can be applied to fatigue driving detection, emotional State detection and other fields. Existing methods mainly describe brain activity by constructing a static network, which regards the network under different time windows as independent components. However, the regional interaction of the brain is time-varying, especially the interaction between brain regions is highly dynamic and non-stationary, so the static network cannot reflect the whole brain activity on the time scale. In addition, the und...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0476A61B5/16A61B5/00
CPCA61B5/165A61B5/7203A61B5/7235A61B5/7253A61B5/7257A61B5/7267A61B5/316A61B5/369
Inventor 王洪涛刘旭程唐聪裴子安许林峰
Owner WUYI UNIV
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