Patent Document ID: 9095266
Application ID: 12804939
Patent Flag: 1

Claim One:
1. A method for treating a patient for certain neurological and mental disorders, comprising: measuring brainwave signals from the patient, the signals being corrupted with noise; processing the measured brainwave signals to obtain clean brainwave signals; matching the clean brainwave signals to a database of brainwave signals for neurological and mental conditions to identify the patient's mental status; applying therapeutic treatment to the patient based on the identified condition; wherein processing the measured brainwave signals comprises: receiving a signal corrupted with noise; performing an n-level decomposition of said signal into wavelet components of different scale; retaining selected decomposition wavelet components; inputting a retained wavelet component of a selected scale into a corresponding auto-associative neural network to squeeze out noise in said wavelet component in the decomposed domain, wherein the auto-associative neural network is self-supervised and has been trained by creating an output behavior that closely matches a noisy input behavior by adjusting synaptic weights between an input layer and an output layer of the auto-associative neural network, and wherein the auto-associative neural network has an equal number of input and output neurons in the input and output layers and has fewer hidden layer neurons than input layer neurons; inputting additional retained wavelet components of different scales into separate corresponding auto-associative neural networks, each to squeeze out noise in a corresponding one of the inputted wavelet components in the decomposed domain; and performing an inverse decomposition on the outputs from all the auto-associative neural networks to recover a clean signal in the time domain.