公开(公告)号：US20160183828A1

公开(公告)日：2016-06-30

申请号：US14819445

申请日：2015-08-06

Applicant: I-SHOU UNIVERSITY

Inventor： Chen-Sen Ouyang ,  Lung-Chang Lin ,  Ching-Tai Chiang ,  Rei-Cheng Yang ,  Rong-Ching Wu ,  Hui-Chuan Wu

IPC: A61B5/04 ,  A61B5/00 ,  A61B5/0476

CPC classification number: A61B5/04012 ,  A61B5/0476 ,  A61B5/4094 ,  A61B5/4848 ,  A61B5/7275 ,  G16H50/20

Abstract: An electronic apparatus for establishing prediction model based on electroencephalogram (EEG). The electronic apparatus is configured for: acquiring an EEG signal segment related to an epilepsy patient; dividing each EEG signal into EEG components according to a predetermined window size; retrieving datasets corresponding to EEG features from the EEG components of each EEG signal segment; acquiring statistical feature values of each dataset of each EEG signal segment; determining a gain ratio of each of the statistical feature values of each EEG signal segment based on the statistical feature values corresponding to each of the EEG features; selecting specific statistical feature values from the statistical feature values according to the gain ratio of each of the statistical feature values of each EEG signal segment; establishing a prediction model based on the specific statistical feature values of the epilepsy patient.

Abstract translation: 一种用于建立基于脑电图（EEG）的预测模型的电子设备。 电子设备被配置为：获取与癫痫患者相关的脑电信号段; 根据预定的窗口大小将每个脑电图信号划分成脑电图; 从每个EEG信号段的EEG组件检索对应于EEG特征的数据集; 获取每个脑电信号段的每个数据集的统计特征值; 基于对应于每个EEG特征的统计特征值，确定每个EEG信号段的每个统计特征值的增益比; 根据每个EEG信号段的每个统计特征值的增益比从统计特征值中选择特定的统计特征值; 根据癫痫患者的具体统计特征值建立预测模型。