A frequency encoded source imaging system includes an EEG or MEG sensor array and a processing system for analyzing the signals from the sensor array in at least two different frequency bands, where the analysis is localized with respect to a three-dimensional grid corresponding to the portion of the human body. Alternately, a frequency encoded source imaging system includes an EEG or MEG sensor array and a processing system for analyzing the signals from the sensor array in a high-definition frequency band comprising frequencies greater than 70 Hz, where the analysis is localized with respect to a three-dimensional grid corresponding to the portion of the human body

A frequency encoded source imaging system includes an EEG or MEG sensor array and a processing system for analyzing the signals from the sensor array in at least two different frequency bands, where the analysis is localized with respect to a three-dimensional grid corresponding to the portion of the human body. Alternately, a frequency encoded source imaging system includes an EEG or MEG sensor array and a processing system for analyzing the signals from the sensor array in a high-definition frequency band comprising frequencies greater than 70 Hz, where the analysis is localized with respect to a three-dimensional grid corresponding to the portion of the human body

Disclosed herein are methods and apparatus for the imaging of brain electrical activity from electromagnetic measurements, using deep learning neural networks where a simulation process is designed to model realistic brain activation and electromagnetic signals to train generalizable neural networks and a residual convolutional neural network and/or a recurrent neural network is trained using the simulated data, capable of estimating source distributions from electromagnetic measurements, and their temporal dynamics over time, for pathological signals in diseased brains, such as interictal activity and ictal signals, and physiological brain signals such as evoked brain responses and spontaneous brain activity.

Disclosed herein are methods and apparatus for the imaging of brain electrical activity from electromagnetic measurements, using deep learning neural networks where a simulation process is designed to model realistic brain activation and electromagnetic signals to train generalizable neural networks and a residual convolutional neural network and/or a recurrent neural network is trained using the simulated data, capable of estimating source distributions from electromagnetic measurements, and their temporal dynamics over time, for pathological signals in diseased brains, such as interictal activity and ictal signals, and physiological brain signals such as evoked brain responses and spontaneous brain activity.

A method for detecting evidence of a stroke in a patient may involve securing a volumetric integral phase-shift spectroscopy (VIPS) device to the patient's head, transmitting a first signal from a first transmitter of the VIPS device through a left hemisphere of the patient's brain to a receiver of the VIPS device, transmitting a second signal from a second transmitter of the VIPS device through a right hemisphere of the patient's brain to the receiver, and detecting the evidence of the stroke, with the VIPS device.

A method for detecting evidence of a stroke in a patient may involve securing a volumetric integral phase-shift spectroscopy (VIPS) device to the patient's head, transmitting a first signal from a first transmitter of the VIPS device through a left hemisphere of the patient's brain to a receiver of the VIPS device, transmitting a second signal from a second transmitter of the VIPS device through a right hemisphere of the patient's brain to the receiver, and detecting the evidence of the stroke, with the VIPS device.

A marker coil includes a flexible substrate, a coil formed on the substrate by wiring, and a substrate holding part that is capable of being attached to a testee. A convex shape is formed in one of the substrate and the substrate holding part, and an engaging part for engaging the convex shape is formed in the other one of the substrate and the substrate holding part.

A marker coil includes a flexible substrate, a coil formed on the substrate by wiring, and a substrate holding part that is capable of being attached to a testee. A convex shape is formed in one of the substrate and the substrate holding part, and an engaging part for engaging the convex shape is formed in the other one of the substrate and the substrate holding part.

An information processing device, an information processing method, and a recording medium storing an information processing program. The information processing device and the information processing method include obtaining measurement data, accepting a specification of time in the measurement data as a specified time, reducing noise from the measurement data using each one of a plurality of methods, evaluating a result of noise reduction at the specified time, the noise reduction being performed using each one of the plurality of methods, and selecting one of the plurality of methods based on the evaluated result of noise reduction. The recording medium storing the information processing program for causing a computer to execute the information processing method.

An information processing device, an information processing method, and a recording medium storing an information processing program. The information processing device and the information processing method include obtaining measurement data, accepting a specification of time in the measurement data as a specified time, reducing noise from the measurement data using each one of a plurality of methods, evaluating a result of noise reduction at the specified time, the noise reduction being performed using each one of the plurality of methods, and selecting one of the plurality of methods based on the evaluated result of noise reduction. The recording medium storing the information processing program for causing a computer to execute the information processing method.