Functional analysis of neurophysiological data
AssigneeElminda Ltd.
InventorsGoded SHAHAF, Amir B. Geva, Tomer Carmeli, Noga Pinchuk, Israel Tauber, Amit Reches, Guy Ben-Bassat, Ayelet Kanter, Urit Gordon
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Abstract
A method for functional analysis of neurophysiological data by decomposing neurophysiological data and EEG signal to form a plurality of signal features. The signal features may then optionally be analyzed to determined one or more patterns.
Claims34
1-31. (canceled)
A method of analyzing neurophysiological data, the method comprising:
- using a data processor for:
- decomposing the data into a plurality of waveforms;
- identifying within said waveforms three-dimensional data patterns according to location, latency and amplitude of said waveforms;
- and
- determining brain activity patterns based on said data patterns.
A method of determining a brain activity pattern, the method comprising performing the following steps on a data processor:
- (a) receiving electronic neurophysiological data;
- (b) decomposing the data into a plurality of waveforms;
- (c) identifying within said waveforms a three-dimensional data pattern according to location, latency and amplitude of said waveforms;
- and
- (d) displaying said three dimensional data pattern;
- wherein said three dimensional data pattern is correlated with a brain activity pattern.
A method of determining a brain activity pattern, the method comprising performing the following operations on a data processor:
- receiving electronic neurophysiological data;
- decomposing the data into a plurality of waveforms;
- identifying within said waveforms a three-dimensional data pattern according to latency, amplitude and frequency of said waveforms;
- determining brain activity patterns based on said data patterns;
- and
- displaying said activity patterns.
Dependencies are inferred from the claim text.