阅读说明：本技术 基于Tucker分解和ripple时间窗的脑磁图源定位方法和装置 (Magnetoencephalogram source positioning method and device based on Tucker decomposition and ripple time window ) 是由 张冀聪 史丽娟 于 2020-12-22 设计创作，主要内容包括：提供一种基于Tucker分解和ripple时间窗的脑磁图源定位方法和装置,该装置包括：脑磁图传感器,用于获取用户的第一脑磁图信号；ripple检测单元,用于通过均方根方法检测所述第一脑磁图信号中的ripple时间窗作为源定位的时间窗口,获得所述ripple时间窗内的第一脑磁图信号作为第二脑磁图信号；基于高阶正交迭代的Tucker分解单元,用于对所述第二脑磁图信号的原始张量进行Tucker分解来计算所述原始张量的估计值；以及源定位单元,用于对所述估计值计算协方差矩阵,且通过波束成形方法中的LCMV逆问题求解方法计算所述第二脑磁图信号对应的源位置。本发明消除了噪声信号的影响,降低了计算的复杂度,保证了每次计算结果的一致性,提高了致痫区域定位的准确度。(A magnetoencephalography source positioning method and device based on Tucker decomposition and ripple time window are provided, the device comprises: the magnetoencephalogram sensor is used for acquiring a first magnetoencephalogram signal of a user; the ripple detection unit is used for detecting a ripple time window in the first magnetoencephalogram signal as a source-positioned time window through a root mean square method, and obtaining the first magnetoencephalogram signal in the ripple time window as a second magnetoencephalogram signal; a Tucker decomposition unit based on high-order orthogonal iteration, configured to perform Tucker decomposition on an original tensor of the second magnetoencephalogram signal to calculate an estimated value of the original tensor; and the source positioning unit is used for calculating a covariance matrix for the estimated value and calculating the source position corresponding to the second magnetoencephalogram signal by an LCMV inverse problem solving method in a beam forming method. The method eliminates the influence of noise signals, reduces the complexity of calculation, ensures the consistency of each calculation result and improves the accuracy of positioning the seizure area.)