AUTOMATIC EVOLUTION METHOD FOR BRAINWAVE DATABASE AND AUTOMATIC EVOLVING SYSTEM FOR DETECTING BRAINWAVE
An automatic evolution method used for a brainwave database which collects physiological information of brainwaves about healthy and clinical groups, the automatic evolution method includes: classifying the physiological information of brainwaves collected by the brainwave database according to data...
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Main Authors | , , |
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Format | Patent |
Language | English |
Published |
29.06.2023
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Subjects | |
Online Access | Get full text |
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Summary: | An automatic evolution method used for a brainwave database which collects physiological information of brainwaves about healthy and clinical groups, the automatic evolution method includes: classifying the physiological information of brainwaves collected by the brainwave database according to data characteristics; establishing a feedback algorithm model based on a neural network architecture according to the physiological information of brainwaves classified by the parameters; using the feedback algorithm model to input a subject's physiological information of brainwaves; measuring an accuracy of the subsequent performance data calculated by the feedback algorithm model; and incorporating the physiological information of brainwaves of the subject into the brainwave database, establishing an updated feedback algorithm model based on an updated neural network architecture, and feeding a comparison result generated by the updated feedback algorithm model back to the subject. |
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Bibliography: | Application Number: US202217886600 |