Patent ID: 7269455

Claim:
A method for the detection of seizures comprising the steps of: (i) acquiring a first bioelectric signal and a second bioelectric signal of a human subject, (ii) processing the first of bloelectric signals to define a baseline cognitive state of mind window for the subject, (iii) processing the second bioelectric signal to define a moving cognitive state of mind window for the subject, and (iv) comparing the baseline bioelectric signal window with the moving bioelectric signal window to define a dynamical similarity index indicative of the likelihood of a seizure. Wherein the dynamic similarity index analysis is optionally applied to neural network analysis to define the correlation between the bioelectric signals and the occurrence of pre-seizure states and wherein the correlation between the bioelectric signals and the occurrence of pre-seizure states are supported by a Neural Networks (NN) function wherein the NN function is in the form of y o p = g o ⁡ ( ∑ h n b ⁢ w ho ⁢ g h ⁡ ( ∑ i n j ⁢ v i ⁢ hx i p + v h0 ) + w o0 ) where “x” is the bioelectric DSI; “y” is the seizure Profile; “v” is the first layer of weights (the input-to-hidden weights); “w” is the second (the hidden-to-output weights); and I, h, o, and p are the indices for the input, hidden and output neurons.