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    • 7. 发明公开
    • METHOD AND SYSTEM FOR WEIGHTED ANALYSIS OF NEUROPHYSIOLOGICAL DATA
    • EP3579246A1
    • 2019-12-11
    • EP18208367.5
    • 2011-01-18
    • Elminda Ltd.
    • SHAHAF, GodedRECHES, AmitGEVA, Amir B.PINCHUK, NogaBEN-BASSAT, GuyKANTER, AyeletSHANI-HERSHKOVICH, RevitalGADOT, RonenSTERN, Yaki
    • G16H50/30G16H50/70A61B5/048
    • A method and system for analyzing neurophysiological data, the neurophysiological data being electroencephalogram (EEG) data collected using a plurality of measuring devices respectively placed at a plurality of different locations on the scalp of a subject, the method comprising:
      using a data processor for:
      applying multidimensional analysis to the data to extract spatial and non-spatial characteristics of the data, said spatial characteristics describing locations from which the respective data were acquired, and said non-spatial characteristics being obtained by segmenting the data according to the time of acquisition and by performing waveform analysis and extracting waveform characteristics;
      defining a plurality of vectors, each including, as components of said vector, said spatial characteristics, and one or more non-spatial characteristics as obtained from said segmentation and said decomposition, thereby providing a plurality of features of the data, each feature being a vector of said plurality of vectors;
      constructing a brain network activity (BNA) pattern having a plurality of nodes, each representing a cluster of vectors of data characteristics;
      assigning a connectivity weight to each pair of nodes in said BNA pattern; and
      transmitting said BNA pattern to a display device or computer-readable medium;

      wherein said connectivity weight comprises a weight index calculated based on at least one cluster property selected from the group consisting of: (i) a number of vectors in a corresponding pair of clusters; (ii) a variability among numbers of vectors in said corresponding pair of clusters; (iii) a width of time windows (Δt A , Δt B ,) associated with each cluster of said corresponding pair of clusters; (iv) a latency difference (Δt AB ) separating said corresponding pair of clusters.