发明名称 Method, system, and computer-accessible medium for classification of at least one ICTAL state
摘要 An exemplary methodology, procedure, system, method and computer-accessible medium can be provided for receiving physiological data for the subject, extracting one or more patterns of features from the physiological data, and classifying the at least one state of the subject using a spatial structure and a temporal structure of the one or more patterns of features, wherein at least one of the at least one state is an ictal state.
申请公布号 US9443141(B2) 申请公布日期 2016.09.13
申请号 US200912995925 申请日期 2009.06.02
申请人 New York University 发明人 Mirowski Piotr W.;Madhavan Deepak;Lecun Yann;Kuzniecky Ruben
分类号 G06N5/02;G06F15/18;G06K9/00;A61B5/0476;A61B5/00;G06N3/02;A61B5/04;A61B5/0402 主分类号 G06N5/02
代理机构 Andrews Kurth LLP 代理人 Andrews Kurth LLP
主权项 1. A method for classifying at least one state of a subject, comprising: receiving physiological data for the subject, the physiological data including a plurality of features having at least a first feature and a second feature that are based on a respective measure of a synchronization for at least one pair of channels, wherein the synchronization associated with (i) the first feature is over a first time period; and (ii) the second feature is over a second time period; generating an array of the features having the first and second features as entries in the array; generating a multilayer convolutional neural network, wherein a first layer and a second layer of the multilayer convolutional neural network is based on a convolution across time, and a third layer of the multilayer convolutional neural network is based on a convolution across time, space and frequency; and using a computer hardware arrangement, classifying the at least one state based on information provided in the array using the at least one multilayer convolutional neural network.
地址 New York NY US