A system for electrically stimulating and/or detecting bioelectrical signals of a user comprising: an array of permeable bodies configured to absorb a solution that facilitates electrical coupling with a body region of the user; a housing defining an array of protrusions conforming to the body region and comprising: an array of channels distributed across the array of protrusions, each channel at least partially surrounding a permeable body, configured to deliver the solution to the permeable body, and comprising a barrier that prevents passage of the permeable body past the barrier, and a manifold configured to distribute the solution to the array of channels; and a coupling subsystem comprising a first electrical coupling region in electrical communication with an interior of the manifold, wherein the first electrical coupling region is configured to couple to a second electrical coupling region that couples the first electrical coupling region to the electronics subsystem.

Methods, systems, and devices are disclosed for implementing magnetoencephalography (MEG) source imaging. In one aspect, a method includes determining a covariance matrix based on sensor signal data in the time domain or frequency domain, the sensor signal data representing magnetic-field signals emitted by a brain of a subject and detected by MEG sensors in a sensor array surrounding the brain, defining a source grid containing source locations within the brain that generate magnetic signals, the source locations having a particular resolution, in which a number of source locations is greater than a number of sensors in the sensor array, and generating a source value of signal power for each location in the source grid by fitting the selected sensor covariance matrix, in which the covariance matrix is time-independent based on time or frequency information of the sensor signal data.

A magnetoencephalography (MEG) measuring apparatus and an MEG measuring method. The MEG measuring apparatus includes a superconducting helmet having an inward brim, a sensor-equipped helmet disposed inside the superconducting helmet, a pick-up coil disposed inside the sensor-equipped helmet, and a superconducting quantum interference device (SQUID) sensor mounted on the sensor-equipped helmet and connected to the pick-up coil.

Systems and methods for evaluating an anatomical structure in a brain of a subject are provided. In an embodiment, a system for evaluating an anatomical structure in a brain of a subject includes a computing device in communication with a magnetic resonance imaging (MRI) device. The computing device operable to determine an abnormality in the anatomical structure by comparing a test activation level within a geometry of the anatomical structure to data in a normative database, and output, to a display device, a graphical representation of the abnormality in the anatomical structure. The test activation level is determined by aligning functional magnetic resonance imaging (fMRI) data obtained by use of the MRI device and the geometry of the anatomical structure. The geometry of the anatomical structure is delineated based on segmentation of magnetic resonance (MR) data obtained by use of the MRI device. The data in the normative database include activation levels of the anatomical structure of a plurality of neurologically non-diseased subjects.

A system includes a controllable device configured to provide a premises related service in an area. The system includes a neural device to be positioned with respect to a part of a body of a user and circuitry to process nerve signals detected in real-time. The system also includes a processor in communication with the circuitry, a memory and instructions stored in the memory for execution by the processor. Data stored in the memory associates each of some number of predetermined sets of nerve signals with a control instruction. Execution of the instructions configures the processor to use the stored data to analyze the real-time detected nerve signals to determine when real-time detected nerve signals correspond to one of the predetermined sets of nerve signals and generate a control data signal based on the associated control instruction to cause a controller to control an operation of the controllable device.

An input device is to input a shape of a measurement target is response to a signal transmitted from a stylus pen, to determine positional relation between a position of a marker and a shape of the measurement target. The marker is attached to the measurement target and detectable by a cerebral-function measuring device. The input device includes a controller, and a display unit. The controller is configured to generate a screen in which a three dimensional shape of the measurement target and a guide of a position to be acquired next with the stylus pen are superimposed. The display unit is configured to display the screen generated by the controller, on a display portion.

An information display device includes a component extraction unit, a sorting unit, and a noise component selection unit. The component extraction unit is configured to perform a principal component analysis or an independent component analysis to extract desired components from a plurality of signal waveforms based on detected biological signals. The sorting unit is configured to sort a plurality of extracted results obtained by the component extraction unit in descending order of periodicity and display the sorted results. The noise component selection unit is configured to receive selection of one extracted result as a noise component from the extracted results obtained by the component extraction unit.

According to an embodiment, an information display system includes a displacement measurement unit, a display unit, and a controller. The displacement measurement unit measures displacement of a measurement part. The display unit displays a time axis of signal detection. The controller controls the displacement measurement unit and the display unit. When a signal that is output from the displacement measurement unit meets a given condition, the controller determines that displacement of the measurement part is detected and displays detection information representing that the displacement is detected in any one of a time position and a time area on the display unit in which the displacement is detected.

A closed-loop brain computer interface (BCI) system for treating mental or emotional disorders with responsive brain stimulation is disclosed. The system includes an implanted module including a processor configured to process neural data acquired from one or more electrodes in communication with one or more brain regions of a patient. The implanted module is configured to deliver stimulation to electrodes in contact with the brain regions. An interface is in wireless communication with the implanted module and configured to receive the neural data from the implanted module. A controller processes the patient's brain and body signals to provide patient intentional control over the stimulation applied to the one or more electrodes and to control the stimulation.

An information processing apparatus includes an acquiring unit, a determining unit, and a changing unit. The acquiring unit is configured to acquire determination information for determining a display layout of a screen for displaying information related to one or more biological signals. The determining unit is configured to determine a display layout corresponding to the determination information acquired by the acquiring unit. The changing unit is configured to change a display layout of the screen in accordance with the display layout determined by the determining unit.