Systems and methods for closed-loop control of electrostimulation while avoiding, or maintaining a substantially low level of, evoked neural activity are disclosed. A system comprises an electrostimulator to deliver a stimulation pulse train, a sensing circuit to sense evoked responses to respective pulses in the pulse train, and a controller to detect an evoked neural activity from an averaged evoked response by averaging evoked responses to respective pulses. The averaging operation can be controlled by a noise level of the averaged evoked response, or by a count of epochs (pulses) being used for averaging. Responsive to the evoked neural activity satisfying a detection criterion, the controller recursively adjusts stimulation parameters until the detection criterion is no longer satisfied. The electrostimulator delivers electrostimulation according to the recursively adjusted stimulation parameters.

A system for automatic evaluation of cognition and consciousness of a subject, the system including a micro-controller, a digital-to-analog converter and at least one sensory stimulation element, wherein the system is configured to receive as input an information concerning a stimulation paradigm and to generate as output a sensory stimulation according to the stimulation paradigm and transmit at least one synchronization signal determined by the stimulation paradigm to a device for the acquisition of a physiological signal so as to synchronize the system for stimulation with the device for the acquisition of a physiological signal during an acquisition.

A system for automatic evaluation of cognition and consciousness of a subject, the system including a micro-controller, a digital-to-analog converter and at least one sensory stimulation element, wherein the system is configured to receive as input an information concerning a stimulation paradigm and to generate as output a sensory stimulation according to the stimulation paradigm and transmit at least one synchronization signal determined by the stimulation paradigm to a device for the acquisition of a physiological signal so as to synchronize the system for stimulation with the device for the acquisition of a physiological signal during an acquisition.

Provided are systems, methods, and devices for measurement, identification, and generation of sleep state models. Systems include a plurality of electrodes configured to be coupled to a brain of a user and configured to obtain a plurality of measurements from the brain of the user, and an interface configured to obtain the plurality of measurements from the plurality of electrodes. Systems include a processing device comprising one or more processors configured to generate a sleep state model associated with the user, the sleep state model identifying characteristics of a plurality of sleep stages, and further identifying characteristics of transitions between the plurality of sleep stages. Systems include a controller comprising one or more processors configured to generate a control signal based on the sleep state model and the plurality of measurements.

An automated EP analysis apparatus for monitoring, detecting and identifying changes (adverse or recovering) to a physiological system generating the analyzed EPs, wherein the apparatus is adapted to characterize and classify EPs and create alerts of changes (adverse or recovering) to the physiological systems generating the EPs if the acquired EP waveforms change significantly in latency, amplitude or morphology.

An automated EP analysis apparatus for monitoring, detecting and identifying changes (adverse or recovering) to a physiological system generating the analyzed EPs, wherein the apparatus is adapted to characterize and classify EPs and create alerts of changes (adverse or recovering) to the physiological systems generating the EPs if the acquired EP waveforms change significantly in latency, amplitude or morphology.

A method for estimating a brain activity response following a stimulus of a person comprises the steps: providing a usage data set of the person from a personal device used by said person, wherein at least one usage attribute is associated to said usage data set, wherein attribute data is associated to each of the at least one usage attribute, providing a computational inference model, generated from a plurality of brain activity data sets and a plurality of usage data sets, wherein each brain activity data set comprises data derived from a brain activity response following a sensory stimulus, submitting the attribute data of each of the at least one usage attributes to said computational inference model, estimating a brain activity response following a sensory stimulus of said person by evaluating said computational inference model for the submitted attribute data. The method is useful to determine, for example the influence of intensive touch pad usage (of a smartphone) on somatosensory evoked potentials.

A method for controlling a stimulation signal for brain stimulation comprises: transmitting a trigger signal for triggering a stimulation generator to output a high frequency synchronization signal exhibiting periodical modifications; receiving a measurement signal representing brain activity comprising neural oscillations and a response to the high frequency synchronization signal; determining adjustment of a phase of the stimulation signal based on a phase difference between the neural oscillations and the modifications of the high frequency synchronization signal; and transmitting a phase information signal for providing information of an adjusted phase of the stimulation signal to be used by the stimulation generator.

An electrical stimulation system includes an implantable control module configured and arranged for implantation in a body of a patient. The implantable control module includes a processor that generates and delivers electrical stimulation pulses or pulse bursts at a pathological frequency or with a temporal separation between pulses or pulse bursts individually selected based on a pre-determined distribution function based on a pre-selected pathological frequency.

A method or system for generating a clinical effects map for electrical stimulation includes receiving stimulation parameters and at least one clinical response for each of a plurality of stimulation instances; for each of the stimulation instances, determining a radius of a stimulation field according to the stimulation parameters for the stimulation instance; generating the clinical effects map using the at least one clinical response and the stimulation parameters for each of the stimulation instances, wherein, for each of the stimulation instances, the at least one clinical response for the stimulation instance is assigned to the radius of the stimulation field determined for the stimulation instance; and displaying the clinical effects map.