Abstract: A method of processing EEG signals obtained from a subject using a grid of electrodes comprises processing the EEG signals to determine a phase coherence measure of the EEG signals for selected electrode pairs of said grid; determining electrode pairs where strong phase coherence of the EEG signals is observed in a low frequency range during interictal activity; and using the determined electrode pairs to identify a possible seizure zone of the subject's brain.

Abstract: A method of modeling time-dependent electrical activity of a biological system, the method comprises transforming an input through at least one dynamic mode to yield at least one modal output; processing the at least one modal output to yield at least one amplitude variable and at least one phase variable; and mapping the at least one amplitude variable and the at least one phase variable to an observable output.

Abstract: A method of attenuating spikes in a complex signal comprises examining the complex signal to detect spikes therein and for each detected spike, generating an estimate inverse signal and applying the estimate inverse signal to the complex signal to attenuate the spike associated with the estimate inverse signal.

Abstract: A method of monitoring depth of anesthesia comprises generating differential EEG signals from EEG signals acquired by electrode pairs during an anesthesia protocol, processing the differential EEG signals to determine at least one signal feature and monitoring changes in the at least one signal feature to determine depth of anesthesia. The at least one signal feature comprises at least one of normalized power of the differential EEG signals acquired from at least one of the electrode pairs, and wavelet bicoherence between the differential EEG signals acquired from at least two of the electrode pairs.

Abstract: A method of detecting and isolating at least one rhythmic component from a discrete-time input signal, comprises subjecting the input signal to discrete wavelet packet transform multi-resolution analysis; applying wavelet packet basis selection criteria to the result of the analysis to evaluate rhythmic signal features of the input signal; and isolating at least one rhythmic signal component from the input signal based on the evaluation.