The present invention relates to an unrestrained neural signal monitoring device and system configured to enable an unrestrained test by being mounted on a living test subject such as a mouse, the device comprising a neural signal detector detecting a neural signal of the test subject such as a brain wave, a first light emitting part outputting a colored light for position tracking, a second light emitting part outputting a colored light for neural signal display, and a controller for controlling the first and second light emitting parts in response to the neural signal detected through the neural signal detector. Because movement of a test subject is unrestrained, a natural activity of the test subject is enabled to thereby prevent an interactive behavior of a group from being restrained.

A module for a brain-computer interface includes means for measuring neuronal activity in at least a portion of a population of neurons; means for stimulating at least the portion of the population of neurons; and means for local processing adapted to pre-analyze measured neuronal activity. A hub for a brain-computer interface includes means for powering a for the brain-computer interface by an alternating current (AC), wherein a charge transmitted in a cycle of the AC is below a tissue-damage threshold. A brain-computer interface comprises the module and the hub. A method for interfacing a brain and a computer includes measuring neuronal activity in at least a portion of a population of neurons; pre-analyzing, locally at a module for measuring and stimulating the portion of the population of neurons, measured neuronal activity; and receiving, at a hub for the brain-computer interface, a pre-analysis of the measured neuronal activity.

A flexible sheet for neurostimulation is described having a flexible non-conductive substrate matrix in which electrodes are embedded along a lower surface. Electrically conductive wires extend from the electrodes through the flexible substrate to another exterior surface of the substrate. Methods of making the flexible sheet and making a device using the flexible sheet are also disclosed.

The application discloses an electronic device set including a modular appliance. The modular appliance includes a first power supplier, a processing device, and a connector. The power device includes a first power supply terminal, a second power supply terminal and at least one first signal terminal. The the processing device is configured to perform data acquisition and electrical stimulation on a biological subject via the at least one first signal terminal. The connector includes contacts coupled to the first electrode, the second electrode, the first power supply terminal, the second power supply terminal, and the at least one first signal terminal, respectively.

One embodiment provides a system controller circuitry for mitigating a neurophysiological disorder. The system controller circuitry includes an optimization module, a feedback control module, and a model update module. The optimization module is configured to predict a sequence of control inputs based, at least in part, on a fractional order model of a neurophysiological system. A duration of the predicted sequence of control inputs corresponds to a prediction horizon. The feedback control module is configured to provide at least a portion of the sequence of control inputs to the neurophysiological system based, at least in part, on a current state of the neurophysiological system. A duration of the at least a portion corresponds to a control horizon. The model update module is configured to update one or more of a model parameter and/or an objective function parameter at an update interval, based, at least in part, on a recent state of the neurophysiological system.

Provided herein are neural interface systems for a patient, the systems comprising an implantable sensor device and an external processing device. The implantable sensor device comprises: an implantable lead assembly for implantation above the skull and below the skin of the patient, and for recording physiologic parameter information of the patient; and an implantable transmitter for receiving the physiologic parameter information from the implantable lead assembly and for transmitting patient data that is based on the physiologic parameter information. The external processing device receives the patient data from the implantable transmitter. Methods of provided a neural interface are also described.

Provided herein are neural interface systems for a patient, the systems comprising an implantable sensor device and an external processing device. The implantable sensor device comprises: an implantable lead assembly for implantation above the skull and below the skin of the patient, and for recording physiologic parameter information of the patient; and an implantable transmitter for receiving the physiologic parameter information from the implantable lead assembly and for transmitting patient data that is based on the physiologic parameter information. The external processing device receives the patient data from the implantable transmitter. Methods of provided a neural interface are also described.

A mobile user borne brain activity data and surrounding environment data correlation system comprising a brain activity sensing subsystem, a recording subsystem, a measurement computer subsystem, a user sensing subsystem, a surrounding environment sensing subsystem, a correlation subsystem, a user portable electronic device, a non-transitory computer readable medium, and a computer processing device. The mobile user borne system collects and records brain activity data and surrounding environment data and statistically correlates and processes the data for communicating the data into a recipient biological, mechatronic, or bio-mechatronic system.

A device determines values for one or more metrics that indicate the quality of a patient's sleep based on sensed physiological parameter values. Sleep efficiency, sleep latency, and time spent in deeper sleep states are example sleep quality metrics for which values may be determined. The sleep quality metric values may be used, for example, to evaluate the effectiveness of a therapy delivered to the patient by a medical device. In some embodiments, determined sleep quality metric values are automatically associated with the therapy parameter sets according to which the medical device delivered the therapy when the physiological parameter values were sensed, and used to evaluate the effectiveness of the various therapy parameter sets. The medical device may deliver the therapy to treat a non-respiratory neurological disorder, such as epilepsy, a movement disorder, or a psychological disorder. The therapy may be, for example, deep brain stimulation (DBS) therapy.

A cortical access system for delivering a medical tool into an epidural and/or subdural space and onto a patient's brain tissue through a cranium opening comprises: a turret including a proximal end portion, a distal end portion, and a first channel extending from an entrance opening to an exit opening, the first channel configured to guide the medical tool from the entrance opening to the exit opening for positioning on the patients brain tissue. The medical tool may be an electrode or an endoscope.