BIOLOGICAL INTERFACE SYSTEM WITH NEURAL SIGNAL CLASSIFICATION SYSTEMS AND METHODS

摘要

Systems and methods for neural signal classification for the processing of multicellular signals of a patient are disclosed. The system includes a preprocessing device operatively coupled to an input channel and configured to receive multicellular signals collected from a sensor, at least a portion of the sensor configured to be disposed within the brain of a patient. The preprocessing device is also configured to filter the multicellular signals to extract a neural signal portion of the multicellular signals, the neural signal portion including a neural spike portion and a local field potential portion. The system also includes a neural spike processing device operatively coupled to the preprocessing device. The system is configured to project information associated with a neural spike onto a feature space, the feature space indicative of a correlation of the neural spike with a benchmark signal. The system is also configured to adaptively determining a spike sorting statistical model for the feature space samples. The system is further configured to identify one or more types of voluntary stimuli based on analysis of the feature space, wherein the projected information is grouped in clusters, each cluster defining a particular type of voluntary stimuli.