Abstract: A system and method for an improved biological interface system that processes multicellular signals of a patient and controls one or more devices is disclosed. The system includes a sensor that detects the multicellular signals and a processing unit for producing the control signal based on the multicellular signals. The system may include improved communication, self-diagnostics, and surgical insertion tools.

Abstract: Systems and methods for detecting, monitoring, and/or treating neurological events based on, for example, electrical signals generated from the patient's body are disclosed. Various embodiments of the invention include a system for predicting occurrence of a neurological event in a patient's body. The system may include an implant configured to be placed in the body and detect signals indicative of an activity that precedes the neurological event, and a processing unit configured to process the detected signals so as to predict the neurological event prior to the occurrence.

Abstract: Signals from plural electrodes placed at known positions on the head of an individual are digitized and processed in a computer processor which includes a bank of spatial filters. The filters are designed to meet a linearly constrained minimum variance criterion so that they each substantially pass signal energy from a location within the brain known with respect to the electrodes while rejecting signal energy from other locations within the brain. The outputs of the filters can be used to estimate the signal power at each of the locations in the brain, or the dipole moment at each location, and this information can be displayed on a display device to provide a map of source activity within the brain. The spatial filters do not require prior knowledge of the number of sources, and the number of discrete sources can be identified as well as the location, power, and dipole moment of the sources.