科创中国
一种融合数据结构信息的脑电信号在线识别方法
发布时间: 2022-04-02
基本信息
合作方式：
技术服务
成果类型：
发明专利
行业领域：
其他
成果介绍
The invention relates to an electroencephalogram (EEG) ***) establishing a classification model based on an online sequential extreme learning machine (OS-ELM) algorithm by utilizing a small training set formed by a small number of labeled EEG samples to serve as an initial classification model in semi-supervised learning; S2) establishing a structure learning model by utilizing an on-line fuzzy clustering method, and estimating a global structure of data distribution after batch increase of EEG samples collected online based on prior information of the labeled EEG samples; S3)carrying out labeling on the EEG samples collected online by utilizing the classification model, and through a batch learning mode and based on the structure information estimated by a structural learning model, selecting a batch of EEG samples collected online and meeting a certain conditions to add to a training set, and re-training the classification model by utilizing the updated training set; and S4) carrying out online identification on the collected EEG signals through the updated classification model.
成果亮点
团队介绍
成果资料
产业化落地方案
成果综合评价报告
评价单位：- (-) 评价时间：2023-07-17
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