Abstract: A system and method for automatically interpreting EEG signals is described. In certain aspects, the system and method use a statistical model trained to automatically interpret EEGs using a three-level decision-making process in which event labels are converted into epoch labels. In the first level, the signal is converted to EEG events using a hidden Markov model based system that models the temporal evolution of the signal. In the second level, three stacked denoising autoencoders (SDAs) are implemented with different window sizes to map event labels onto a single composite epoch label vector. In the third level, a probabilistic grammar is applied that combines left and right context with the current label vector to produce a final decision for an epoch. A physician's report with diagnoses, event markers and confidence levels can be generated based on output from the statistical model. Systems and methods for dealing with channel variation or a missing EEG electrode valve are also disclosed.

Abstract: Systems, Methods, and Computer Program Products for Transmitting Neural Signal Information. Systems, method, and computer program products are provided for neural signal transmission. A system according to one embodiment can include a signal receiver operable to receive a neural signal comprising an action potential. The system can also include an action potential detector operable to communicate with the signal receiver and detect when the action potential occurs. In addition, the system can include a transmitter in communication with the action potential detector and operable to transmit an information signal indicating the time when the action potential occurs and, in addition, can transmit samples associated with a detected action potential.

Abstract: Systems, Methods, and Computer Program Products for Transmitting Neural Signal Information. Systems, method, and computer program products are provided for neural signal transmission. A system according to one embodiment can include a signal receiver operable to receive a neural signal comprising an action potential. The system can also include an action potential detector operable to communicate with the signal receiver and detect when the action potential occurs. In addition, the system can include a transmitter in communication with the action potential detector and operable to transmit an information signal indicating the time when the action potential occurs and, in addition, can transmit samples associated with a detected action potential.