Abstract: A system or method for motor rehabilitation of a paretic limb including: a first plurality of sensors for registering brain neurosignals; a body-actuator; a hybrid brain machine interface for decoding brain neurosignals into movements of the body-actuator; a second plurality of EMG sensors couplable to the paretic limb for registering its EMG activity; a device for providing the patient with instructions relative to a series of exercises and/or tasks to be carried out with the paretic limb; wherein upon carrying out a series of training sessions, each session comprising at least a set of such instructions, the hybrid brain machine interface is configured to switch between controlling the movements of the body-actuator based on the decoded brain neurosignals and a hybrid control of the movements of the body-actuator, when a significant level of decodable EMG activity has been registered, the hybrid control being an EMG-gated brain control.

Abstract: A system or method for motor rehabilitation of a paretic limb including: a first plurality of sensors for registering brain neurosignals; a body-actuator; a hybrid brain machine interface for decoding brain neurosignals into movements of the body-actuator; a second plurality of EMG sensors couplable to the paretic limb for registering its EMG activity; a device for providing the patient with instructions relative to a series of exercises and/or tasks to be carried out with the paretic limb; wherein upon carrying out a series of training sessions, each session comprising at least a set of such instructions, the hybrid brain machine interface is configured to switch between controlling the movements of the body-actuator based on the decoded brain neurosignals and a hybrid control of the movements of the body-actuator, when a significant level of decodable EMG activity has been registered, the hybrid control being an EMG-gated brain control.

Abstract: A multivariate, pattern-based system and method for recognition of brain states and generation of feedback considering both the spatial and temporal pattern of network of brain activity is described. The system can be applied for enhancing a desired function or behavior, or to alleviate a behavioral or neurological problem. The system can also be used to investigate the spatiotemporal evolution of a network of brain activity corresponding to a brain function, by changing the activity as an independent variable and studying its effect on behavior.