- 专利标题: Differentiation device, differentiation method for depression symptoms, determination method for level of depression symptoms, stratification method for depression patients, determination method for effects of treatment of depression symptoms, and brain activity training device
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申请号: US16753291申请日: 2018-10-02
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公开(公告)号: US12020427B2公开(公告)日: 2024-06-25
- 发明人: Giuseppe Lisi , Jun Morimoto , Mitsuo Kawato , Takashi Yamada , Naho Ichikawa , Yasumasa Okamoto
- 申请人: ADVANCED TELECOMMUNICATIONS RESEARCH INSTITUTE INTERNATIONAL , HIROSHIMA UNIVERSITY
- 申请人地址: JP Kyoto
- 专利权人: ADVANCED TELECOMMUNICATIONS RESEARCH INSTITUTE INTERNATIONAL,HIROSHIMA UNIVERSITY
- 当前专利权人: ADVANCED TELECOMMUNICATIONS RESEARCH INSTITUTE INTERNATIONAL,HIROSHIMA UNIVERSITY
- 当前专利权人地址: JP Soraku-Gun; JP Higashihiroshima
- 代理机构: Birch, Stewart, Kolasch & Birch, LLP
- 优先权: JP 2017193897 2017.10.03 JP 2018005110 2018.01.16
- 国际申请: PCT/JP2018/036952 2018.10.02
- 国际公布: WO2019/069955A 2019.04.11
- 进入国家日期: 2020-09-14
- 主分类号: G06T7/00
- IPC分类号: G06T7/00 ; A61B5/055 ; G06F18/214 ; G06F18/2431 ; G06N20/00 ; G16H20/70 ; G16H30/20 ; G16H50/30 ; G16H50/70 ; G16H70/60
摘要:
Objective discrimination of a disease label of a depressive symptom with respect to an active state of a brain is achieved. One means for solving the problems of the present invention is to provide a discriminating device for assisting in determination of whether a subject has a depressive symptom. The discriminating device includes a storage device for storing information for identifying a classifier generated by classifier generation processing based on a signal obtained by using a brain activity detecting apparatus to measure, in advance and time-sequentially, a signal indicating a brain activity of a plurality of predetermined regions of each brain of a plurality of participants in a resting state, the plurality of participants including healthy individuals and patients with depression. The classifier is generated so as to discriminate a disease label of a depressive symptom based on a weighted sum of a plurality of functional connectivities selected by feature selection as being relevant to the disease label of the depressive symptom through machine learning from among functional connectivities of the plurality of predetermined regions. The discriminating device further includes a processor configured to execute discriminating processing of generating a classification result for the depressive symptom of the subject by using the classifier.
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