Described is a system for computing a transcranial stimulation montage. The system obtains externally sensed brain activity representing a current brain state of a subject. Using the externally sensed brain activity, a desired brain activity change in each relevant voxel of the brain of the subject is translated into a necessary electrical field. A model the desired brain activity in relevant voxels of the brain of the subject is created. Using the model, an electrical stimulation montage is computed that can be applied by transcranial stimulation electrodes to a subject to transform the current brain state into a desired brain state.

In embodiments, devices, methods and systems to analyze the different mediums of brain function in a mathematically uniform manner may be provided. For example, in an embodiment, a computer-implemented method for determining structure of living neural tissue may comprise receiving at least one signal from at least one read modality, the signal representing at least one physical condition of the living neural tissue, determining action potentials based on the signals received from the read modalities, determining frequency oscillations based on the signals received from the read modalities and the action potentials, determining neuron network structures based on the photonic signals received from the read modalities, the action potentials, and the frequency oscillations, wherein the neuron network structures are determined using a Maximum Entropy model, and mapping brain region activation by S+/R? events to observable linguistic events using the Maximum Entropy model.

In embodiments, devices, methods and systems to analyze the different mediums of brain function in a mathematically uniform manner may be provided. For example, in an embodiment, a computer-implemented method for determining structure of living neural tissue may comprise receiving at least one signal from at least one read modality, the signal representing at least one physical condition of the living neural tissue, determining action potentials based on the signals received from the read modalities, determining frequency oscillations based on the signals received from the read modalities and the action potentials, determining neuron network structures based on the photonic signals received from the read modalities, the action potentials, and the frequency oscillations, wherein the neuron network structures are determined using a Maximum Entropy model, and mapping brain region activation by S+/R? events to observable linguistic events using the Maximum Entropy model.

A system includes a communication interface for receiving information that includes data collected from an array of neural activity sensors that were placed on a patient during a session of applied stimuli. A processor is configured to analyze the received information to obtain a frequency spectrum for each sensor for a given stimulus of the applied stimuli. Neural network frequencies that correspond to an indicated impaired functionality of the nervous system of the patient are selected. For each selected frequencies, a spatial map of neural activity is generated. Each of the generated spatial maps is compared with retrieved corresponding spatial maps to identify treatment frequencies from among the selected neural network frequencies. A treatment protocol is generated for input into an electromagnetic field generator to cause the generator to apply to the patient an electromagnetic field at each identified treatment frequency.

A therapeutic or diagnostic system comprises a non-invasive brain stimulation device (such as a TMS stimulation device) or other neuromodulation device configured to stimulate a patient's brain or nervous system by emitting electromagnetic pulses according to stimulation parameters, such as a pulse frequency or burst repetition frequency or other parameters, that provides surprising improvements in responsiveness and/or may require only a relatively short train of pulses to achieve high efficacy. In particular, stimulation pulses may be delivered at a frequency of between 12 and 40 Hertz with a 3 to 5 ratio as compared with burst repetition frequency, or at other specific patterns within that range. The stimulation parameters may be pre-stored and customized to individual patients, being identified through an automated search routine during which patient feedback is monitored. A user interface may be provided to allow an operator to conveniently select the appropriate parameters for the desired treatment.

An information processing device, a biomedical-signal measuring system, and a recording medium storing program code for causing a computer to execute a biomedical signal display method. The information processing device includes circuitry to display, on a display device, a first waveform display area indicating a waveform that indicates changes over time in a biomedical signal, and display a distribution display area indicating a distribution of the biomedical signal. Once input data indicating selection of a certain point of the waveform displayed in the first waveform display area is accepted, the circuitry displays the distribution display area based on the input data when the distribution display area is hidden from view, and the circuitry updates the distribution indicated in the distribution display area before the input data is accepted to a distribution based on the input data and displays the updated distribution when the distribution display area is being displayed.

A medical device for the measurement of brain temperature data through the Abreu brain thermal tunnel (ABTT) is described. Brain temperature measurement is the key and universal indicator of both disease and health equally, and is the only vital sign that cannot be artificially changed by emotional states. Currently, brain temperature is difficult to measure. However, the present disclosure describes a device that readily locates the Abreu brain thermal tunnel, and is configured to provide a non-contact temperature reading of the brain. Embodiments of the disclosed device enable an individual to measure their own temperature and enable medical professionals to measure the temperature of others.

A system for monitoring biosignals of a user includes a first end region, positionable proximate a first ear of a user and including a first sensor array; a second end region, positionable proximate a second ear of the user and including a second sensor array; an intermediate region, positionable on a neck region of the user; a coupling element configured to couple the first and second end regions to the intermediate region; and a first attachment element and a second attachment element. The first attachment element couples the first end region to a head-mounted accessory and the second attachment element couples the second end region to the head-mounted accessory. The first end region includes a first electrode and the second end region includes a second electrode, such that there is a fixed distance between the first and second electrodes.

A biosignal measuring device that can include at least one Super-conducting Quantum Interference Device (SQUID) array (SQA) of High Temperature Superconducting (HTS) Josephson Junctions (JJs). The HTS JJs operating parameters can be adjusted to establish an anti-peak response for the SQA, that can be at a maximum along a defined response axis, for detection of extremely small biomagnetic fields. For operation, the SQA can be maneuvered around a target area of a stationary subject that is emitting biomagnetic signals using a stand with three degrees of freedom, so that the response axis remains orthogonal to the subject target area. The device can further include a radome with an atomic layer deposition (ALD) window on the radome surface. The radome ALD surface can allow for passage of magnetic signals through the ALD window and radome, while simultaneously preventing passage of infrared radiation therethrough.

A system includes a communication interface for receiving information that includes data collected from an array of neural activity sensors that were placed on a patient during a session of applied stimuli. A processor is configured to analyze the received information to obtain a frequency spectrum for each sensor for a given stimulus of the applied stimuli. Neural network frequencies that correspond to an indicated impaired functionality of the nervous system of the patient are selected. For each selected frequencies, a spatial map of neural activity is generated. Each of the generated spatial maps is compared with retrieved corresponding spatial maps to identify treatment frequencies from among the selected neural network frequencies. A treatment protocol is generated for input into an electromagnetic field generator to cause the generator to apply to the patient an electromagnetic field at each identified treatment frequency.