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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Bibliographic Details
Main Authors Kuan, Shu-Chun, Lin, Jason Chun-Cheng, Lu, Chin-Yeh
Format Patent
LanguageEnglish
Published 29.06.2023
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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.
Bibliography:Application Number: US202217886600