Patent Document ID: 9037224
Application ID: 12804936
Patent Flag: 1

Claim One:
1. An apparatus for treating a patient for certain neurological and mental disorders, comprising: a signal measurement module for measuring brainwave signals from the patient, the signals being corrupted with noise; a signal cleanup module for processing the measured brainwave signals to obtain clean brainwave signals; a signal matching module for matching the clean brainwave signals to a database of brainwave signals for neurological/mental conditions to identify the patient's mental status; and a therapy signal application module for applying therapeutic treatment to the patient based on the identified condition; wherein the signal cleanup module comprises: a signal transformer for iteratively decomposing a signal into a plurality of decomposition wavelet components of different scale, a number of which are selected for further processing; one or more auto-associative neural network, each of the one or more auto-associative neural network corresponding to one of selected wavelet components, each auto-associative neural network operatively coupled to the signal transformer to receive a corresponding one of the selected wavelet components to squeeze out noise in the decomposed domain from a corresponding one of the selected wavelet components, 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 the auto-associative neural network has an equal number of input neurons and output neurons in the input and output layers and has fewer hidden layer neurons than input layer neurons; and an inverse signal transformer for recovering a clean signal in the time domain from the combined outputs of the at least one auto-associative neural network.