EEG channel selecting method based on standard mutual information
A channel selection and mutual information technology, applied in the field of emotion recognition, can solve problems such as incomplete channel selection results, achieve the effects of improving classification accuracy, reducing the number of channels, and solving design complexity problems
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[0029] The present invention will be further described in detail below through specific embodiments in conjunction with the accompanying drawings. Wherein, similar elements in different implementations adopt associated similar element numbers. In the following implementation manners, many details are described for better understanding of the present application. However, those skilled in the art can readily recognize that some of the features can be omitted in different situations, or can be replaced by other elements, materials, and methods.
[0030] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.
[0031] Example,
[0032] see figure 1 and figure 2 , an EEG channel selection method based on standard mutual information, including word segmentation to obtain a time-frequency map, building an association matrix, and using a threshold to select channels. The specific steps are as follows:
[0033] Step ...
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