Provided herein are embodiments of a Quadruple Butterfly Coil (QBC) configuration having enhanced focality for stimulation of specific areas of a brain for therapeutic treatment. Finite element simulations were conducted for the QBC, the QBC with a single shield, and the QBC with a double shield. The stimulation profiles for these coil configurations were assessed with 50 anatomically realistic MRI derived head models. The coils were positioned on the vertex and the scalp over the dorsolateral prefrontal cortex to stimulate the brain. Computer modeling of the coils was performed to determine volume of stimulation, maximum electric field, location of maximum electric field, and area of stimulation across all 50 head models for both coils.

An array of optically pumped magnetometers includes a vapor cell arrangement having a wafer defining one or more cavities and alkali metal atoms disposed in the cavities to provide an alkali metal vapor; an array of light sources, each of the light sources arranged to illuminate a different portion of the one or more cavities of the vapor cell arrangement with light; at least one mirror arranged to reflect the light from the array of light sources after the light passes through the one or more cavities of the vapor cell arrangement; and an array of detectors to receive light reflected by the at least one mirror, wherein each of the detectors is arranged to receive light originating from one of the light sources.

A biological information measuring apparatus includes a cover member and a hardware processor. The cover member is provided with sensors for detecting biological signals to cover a position of a biological part of a subject. The hardware processor is configured to estimate a positional relation of the position of the biological part of the subject with respect to the cover member at a first time point. The hardware processor superimposes first point cloud and second point cloud. The first point cloud is acquired by a non-contact mechanism front the subject at the first time point and represents a surface of the biological part of the subject in a coordinate system of the sensors. The second point cloud is created based on a morphological image of the subject captured by a biological structure acquiring apparatus and represents the surface of the biological part of the subject.

An information processing device, an information processing method, a recording medium storing a program for causing a computer to execute the information processing method, and a biomedical-signal measuring system. The information processing device includes circuitry to control a display to superimpose a first image indicative of an estimated site or portion of a live subject on a biological image of the live subject, and control the display to superimpose a second image indicative of a result of analysis on the biological image. The result of the analysis indicates activity of the live subject. The information processing method includes controlling a display to superimpose a first image indicative of an estimated site or portion of a live subject on a biological image of the live subject, and controlling the display to superimpose a second image indicative of a result of analysis on the biological image.

An information display method displays brain activity information calculated using a biological signal measured from a living body so as to be superimposed on a morphological image including a plurality of sectional images. The information display method includes: acquiring mask information representing an area belonging to a brain in the morphological image; and detecting one or more extremal value positions with spatial extremal values in the brain activity information based on the mask information. A sectional image corresponding to the one or more extremal value positions is acquired from the morphological image. A brain activity distribution corresponding to the sectional image is acquired. The brain activity distribution is displayed so as to be superimposed on the sectional image.

An information processing apparatus includes a display controller configured to group dipole estimation results with the same direction out of dipole estimation results of a signal source corresponding to part of biological data indicating a chronological change of a biological signal and display the grouped dipole estimation results in a manner superimposed on a plurality of biological tomographic images sliced in a predetermined direction. The display controller is configured to, when displaying a non-grouped dipole estimation result, display the non-grouped dipole estimation result in a different color or form from a color or a form of the grouped dipole estimation results depending on a direction of the dipole estimation result.

A neural network system, involving a neural network, the neural network configured to: map sensor output to a Level 1 input; learn to fuse the time slices for one class, learning comprising taking and feeding a random assignment of inputs from each time slice into a threshold function for another two-dimensional array; learn to reject class bias for completing network training; use cycles for class recognition, and fuse segments for intelligent information dominance and a magnetic headwear apparatus operably coupled with the neural network.

In one aspect, a computer-implemented method corrects a multi-sphere head model used in dipole localization for a set of magnetic field sensors (MEG sensors) by replacing ghost spheres with replacement spheres that are not ghost spheres. One type of ghost sphere completely encloses the brain volume but is so large that a center of the sphere is outside the brain volume. Another type of ghost sphere lies entirely outside the brain volume. Various approaches for correcting ghost spheres are disclosed.

An information processing device, an information processing method, a recording medium storing a program, and a biomedical-signal measuring system. The information processing device includes circuitry to obtain specific information of a first intensity distribution of a biomedical signal from a source, the specific information being displayed on a display, and extract, based on the specific information, a specified area of the first intensity distribution to obtain second intensity distribution of the biomedical signal to be superimposed on an image indicative of the source. The information processing method includes obtaining specific information of a first intensity distribution of a biomedical signal from a prescribed source, the specific information being displayed on a display, and extracting, based on the specific information, a specified area of the first intensity distribution to obtain second intensity distribution of the biomedical signal to be superimposed on an image indicative of the source.

Various embodiments relate generally to electrical and electronic hardware, computer software and systems, and wired and wireless network communications to provide an interface between an organism and other computing machine-based entities, and, more specifically, to sensors that facilitate determination of a state of neural activity with which to associate data representing, for example, an intent and/or a command; to implementations of sensors under control to, for example, modify sensing characteristics to interpolate response signals spatially or temporally, or both, to facilitate determination of a state of neural activity; to the formation or implementation of a data model that includes, for example, data arrangements representative of at least neuronal activity to facilitate determination of a state of neural activity; and to mobile human-machine interface to facilitate control based on neuronal activity of an organism.