A non-invasive method of detecting electrical activity in a target volume. The method can comprise aiming a plurality of antennas at one or more target sub-volumes within a target volume and acquiring the radio signal created when an electrical discharge occurs. The method can then comprise processing the radio signals to determine the electrical activity within the target volume and displaying the electrical activity in the target volume.

A system for detecting bioelectrical signals of a user comprising: a set of sensors configured to detect bioelectrical signals from the user, each sensor in the set of sensors configured to provide non-polarizable contact at the body of the user; an electronics subsystem comprising a power module configured to distribute power to the system and a signal processing module configured to receive signals from the set of sensors; a set of sensor interfaces coupling the set of sensors to the electronics subsystem and configured to facilitate noise isolation within the system; and a housing coupled to the electronics subsystem, wherein the housing facilitates coupling of the system to a head region of the user.

A magnetically shielded room, that is capable of suppressing positional deviation of a measuring tool in an internal space, has an upper shielding body, a side periphery shielding body, and a lower shielding body, which form a magnetically shielded internal space of the magnetically shielded room. A pedestal has a higher rigidity than the lower shielding body, and is located on an under surface of the lower shielding body. First and second supporting members are located on and stand erect from the pedestal. The first and second supporting members penetrate the lower shielding body and extend into the internal space.

A magnetic field measurement system that includes at least one magnetometer; at least one magnetic field generator; a processor coupled to the at least one magnetometer and the at least one magnetic field generator and configured to: measure an ambient background magnetic field using at least one of the at least one magnetometer in a first mode selected from a scalar mode or a vector mode; generate, in response to the measurement of the ambient background magnetic field, a compensation field using the at least one magnetic field generator; and measure a target magnetic field using at least one of the at least one magnetometer in a spin exchange relaxation free (SERF) mode which is different from the first mode.

An information processing device includes a displaced position calculation processing unit, a spatial value acquisition processing unit, and a spatial value display processing unit. The displaced position calculation processing unit is configured to determine displaced position data on a position displaced from an optional point on surface shape data on a surface of a measurement target in a given direction by a given distance. The spatial value acquisition processing unit is configured to acquire, based on spatial region values represented by volume data formed in a space containing a shape of the measurement target and the displaced position data, a spatial region value for a position stored in the displaced position data. The spatial value display processing unit is configured to dispose and display a display material corresponding to the spatial region value on the surface shape data.

An optically pumped magnetometer device includes a first vapor cell having a light input window; a first light source configured to produce a first light beam; a first prism optic configured to receive the first light beam from the first light source and redirect the first light beam into the first vapor cell at a non-normal direction relative to the light input window of the first vapor cell; and a first light detector configured to receive the first light beam after passing through the first vapor cell. The device may also include additional light sources and light detectors which may share the prism optic and vapor cell (or utilize another prism optic or vapor cell or both).

A non-invasive system and method are provided. Brain activity of a user is detected using a non-invasive brain interface when the user is exposed to an external stimulus. The user is determined to be negatively primed by the external stimulus based on the detected brain activity. An alert that the user is being negatively primed by the external stimulus is automatically provided. A tagged training session may be automatically provided to the user in response determining that the user has a negative mental state, thereby promoting a positive mental state of the user. A training session list containing the tagged training session may be automatically modified based on the determined mental state of the user.

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.

A system assists users in time and frequency analysis of magnetoencephalography (MEG) signals. In one aspect, a system includes an analysis module, a configuration module and a user interface. The analysis module performs a time and frequency analysis of the MEG signal, for example a short time Fourier transform (STFT) or a continuous wavelet transform (CWT) analysis. The analysis is parameterized by a parameter set that affects the time and frequency resolution of the analysis, for example window size and overlap size for STFT or center frequency and decay parameter for CWT. The configuration module automatically determines or assists the user to determine correct values for the parameter set.

A surface model is generated from a three-dimensional volume model of a person's head. The person's head is modelled as a three-dimensional volume model of loss values (i.e., absorption values). Wave vectors are launched towards the volume model. Each wave vector is characterized by a wavelength and a capture direction (direction of propagation). The launched wave vectors are absorbed by the volume and the point at which they are absorbed (referred to as the intersection point) is determined. The surface model of the person's head is generated from the intersection points of the wave vectors.