Provided is a method for building a model for identifying a reaction of an organism, the method comprising: acquiring a reaction data from an organism, including: acquiring a first reaction data on the organism being in the first state and stimulation is applied to the organism; acquiring a second reaction data on the organism being in the first state and no stimulation is applied to the organism; acquiring a third reaction data on the organism being in the second state and stimulation is applied to the organism; and acquiring a fourth reaction data on the organism being in the second state and no stimulation is applied to the organism; and
building a model unique to the organism for identifying the reaction of the organism, based on the acquired first to fourth reaction data.

A method includes applying a plurality of electrical stimuli having differing amplitudes at a first position in a brain of a patient. The method further includes, for each of the plurality of electrical stimuli, detecting a resonant response from a target neural structure in the brain, each resonant response evoked by a respective one of the electrical stimuli. The method also includes determining a change in one or more common waveform characteristics between two or more of the detected resonant responses and determining an effectiveness in delivering therapeutic stimulation at the first position based on the change.

A method for detecting and identifying a patient physiological response includes stimulating, via a stimulating electrode coupled to a patient, one or more nerves of the patient. The method includes recording, via a recording electrode coupled to the patient, a plurality of resultant electrical waveforms. The method includes determining, based on the plurality of resultant electrical waveforms, whether at least a subset of the plurality of resultant electrical waveforms includes a patient physiological response. The determining includes comparing the subset of resultant electrical waveforms of the plurality of resultant electrical waveforms to a model waveform from a database of a plurality of model waveforms. The determining includes determining, based on the comparison, a comparison feature. The comparison feature indicates whether the patient physiological response exists in the subset. The method includes displaying, via a display, an indication that the patient physiological response exists in the subset of resultant electrical waveforms.

A method for delivering electrical stimulation to alter a cognitive state of a user, the method comprising: monitoring a brain signal from the user via one or more intracranial electrodes implanted in the brain of the user while the user is presented with a stimulus; comparing the brain signal to a testing phase biomarker, wherein the testing phase biomarker is derived from a cognitive test performed on a contributor during a testing phase; delivering electrical stimulation to a brain of the user based on the comparing step to steer the brain of the user towards a high performance cognitive state.

Systems and methods for enhancing diagnostic evoked potential recordings of a nerve or nerve pathway of interest. A grid array of stimulating electrodes are placed on, over, or through skin in a location beneath which a nerve or nerve pathway is suspected to lie. A stimulator controls the grid array, where each electrode is independently controllable as active or inactive, as a cathode or anode, etc. A plurality of recording electrodes may record Somato-Sensory Evoked Potentials (SSEPs) and/or Transcranial Electrical Motor Evoked Potentials (TCeMEP) in response to activation of the stimulating electrodes. A processor controls stimulating the stimulating electrodes, and receives responses from the recording electrodes, in a general search mode and a focused search mode in order to use a minimum stimulation intensity at which a maximum response amplitude is detected to continually stimulate the nerve or the nerve pathway.

Embodiments may provide the capability to provide brain monitoring and stimulation devices using parameter sets that are automatically refined during operation. For example, in an embodiment, a system may comprise a plurality of stimulation devices connected to signal output circuitry interfacing the processor with the stimulation devices, so that the processor generates and transmits stimulation signals to the stimulation devices, and a plurality of sensing devices connected to signal input circuitry interfacing the processor with the sensing devices, so that the processor receives sensed signals from the sensing devices, wherein the program instructions and data stored in the memory are further configured so that the processor performs dynamic closed loop feedback of the stimulation signals based on the received sensed signals to provide self-guided, self-directed diagnostics and treatment of neural conditions using at least one recipe for a treatment strategy guided by artificial intelligence.

The present disclosure provides a brain wave analysis device with a computation section configured to compute a first ratio and a second ratio from a spectrum obtained by performing frequency analysis on time-series data of brain waves measured at a predetermined location of a head of a subject.

The present disclosure provides a brain wave analysis device with a computation section configured to compute a first ratio and a second ratio from a spectrum obtained by performing frequency analysis on time-series data of brain waves measured at a predetermined location of a head of a subject.

A method for the generation of a consciousness indicator for a non-communicating subject, including generating a sensory stimulation involving at least one of the five senses, the sensory stimulation having multiple consecutive stimuli including at least a first stimulus and a second stimulus relating to the same sense and different from one another, measuring an electrocardiographic signal of the subject during the generation of the sensory stimulation, extracting at least one EKG feature from the electrocardiographic signal associated to cognitive processes and generating a consciousness indicator using the EKG features as input of a classifier.

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.