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ASSESSMENT OF RISK FOR MAJOR DEPRESSIVE DISORDER FROM HUMAN ELECTROENCEPHALOGRAPHY USING MACHINE LEARNED MODEL
专利权人:
X Development LLC
发明人:
Sarah Ann Laszlo,Gabriella Levine,Georgios Evangelopoulos
申请号:
US16284607
公开号:
US20200205712A1
申请日:
2019.02.25
申请国别(地区):
US
年份:
2020
代理人:
摘要:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for presenting a human participant with information known to stimulate a person's neural reward system. Receiving an EEG signal from a sensor coupled to the human participant in response to presenting the participant with the information, the EEG signal being associated with the participant's neural reward system. Contemporaneously with receiving the EEG signal, receiving contextual information related to the information presented to the human participant. Processing the EEG signal and the contextual information in real time using a machine learning model trained to associate depression in the person with EEG signals associated with the person's neural reward system and the presented information. Diagnosing whether the participant is experiencing depression based on an output of the machine learning model.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

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