A biological signal detection system includes one or more magnetic field sensors for placement on a user and for detecting signals generated by biological magnetic field sources of the user; at least one memory; at least one processor coupled to the at least one memory and the one or more magnetic field sensors and configured to receive the detected signals of the one or more magnetic field sensors. The at least one processor is configured to perform actions including receiving the detected signals from the magnetic field sensors; determining whether the detected signals are modulated by a predetermined stimulus tag; and, in response to the determination, identifying which of the detected signals are modulated by the predetermined stimulus tag.

A system and method comprising a noninvasive framework utilizing electroencephalography (EEG) to achieve the neural control of a robotic device for continuous random target tracking.

A wearable and customizable multi-shell MEG helmet comprising an inner shell and outer shell, wherein the inner shell interior surface is customized to conform to the patient's head shape so that the helmet assembly moves in unison with the patient's head movement and sensor locations are controlled and remain fixed relative to the brain. This invention improves data quality and user comfort since head movements may be permitted and their effects on data integrity is minimized. The outer shell is generic and may fit over any customized inner shell. The outer shell holds a group of sensors, which may be, but not limited to, optically pumped magnetometers. This generic outer shell may mate with the inner shell, allowing sensors to be easily pushed into the inner shell to be in closer proximity to the patient's head. Furthermore, this multi-shell MEG helmet design allows an easy and convenient way to transfer sensors from one patient to the next patient because the need to remove and reinstall individual sensors is avoided. The helmet may contain cable and other connector means that provides the electrical connections for communication with and control of individual sensors.

A system and method are presented for use in monitoring brain activity of a subject. The system comprises a control unit which comprises: a data input utility for receiving measured data comprising data corresponding to signals measured during a certain time period and being indicative of a subject's brain activity originated from locations in the subject's brain during said certain time period, and a processor utility which is configured and operable for processing the measured data and generating data indicative thereof in the form of a multi-parameter function presenting a relation between frequency and time data of the measured signals and for analyzing said relation and identifying a subject-related signature corresponding to the subject's brain neural activity.

A calibration arrangement of a magnetic field measurement device includes at least one attachment point nub configured for attachment to the magnetic field measurement device; mounting arms extending from the at least one attachment point nub; and reference coil loops distributed among the mounting arms. A magnetic field measurement system includes the calibration arrangement and a magnetic field measurement device including a sensor mounting body, magnetic field sensors disposed on or within the sensor mounting body, and at least one primary attachment point formed in or on the sensor mounting body configured to receive the at least one attachment point nub of the calibration arrangement.

A method of reducing error in magnetoencephalography arising from the presence of a non-neuromagnetic field. The method comprises measuring, using a sensor array for measuring neuromagnetic fields, magnetic field at a plurality of discrete locations around a subject's head to provide sensor data; wherein the magnetic field measured at at least some of the locations includes a neuromagnetic field from a source of interest within a subject's brain and a non-neuromagnetic field from a source of no interest external to the brain. The measuring comprises: measuring, at at least a first subset of the locations, a magnetic field along a first direction relative to a radial axis intersecting the respective location, and measuring, at at least a second subset of the locations, a magnetic field along a second direction relative to a radial axis intersecting the respective location which is different to the first direction; and performing source reconstruction using the sensor data.

A method of reducing error in magnetoencephalography arising from the presence of a non-neuromagnetic field. The method comprises measuring, using a sensor array for measuring neuromagnetic fields, magnetic field at a plurality of discrete locations around a subject's head to provide sensor data; wherein the magnetic field measured at at least some of the locations includes a neuromagnetic field from a source of interest within a subject's brain and a non-neuromagnetic field from a source of no interest external to the brain. The measuring comprises: measuring, at at least a first subset of the locations, a magnetic field along a first direction relative to a radial axis intersecting the respective location, and measuring, at at least a second subset of the locations, a magnetic field along a second direction relative to a radial axis intersecting the respective location which is different to the first direction; and performing source reconstruction using the sensor data.

A first aspect provides, in a device for processing biomedical data obtained from a body, a method of determining brain activity. The method comprises obtaining neuron oscillation signal data of a first part of a brain over a period of time. The oscillation signal data is apportioned in timeslots within the period and per time slot, based on the oscillation data for the timeslot, an amplitude value and variation value representing data values in the timeslot are obtained. A correlation value is determined between the amplitude values and the corresponding variation values over at least a substantial part of the first time period; and the correlation value is provided as an output. The correlation value may optionally be used for estimating a ratio between excitation and inhibition activity of the brain under scrutiny.

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.

The technology relates to fabricating and employing a sensor unit with a malleable housing to obtain various bio-signals detected while the sensor unit is disposed in the wearer's ear canal. A set of sensor contacts is arranged along an exterior ear-contacting portion of the housing. The malleable material can be compressed for insertion into the ear canal, then automatically expanding to contact the ear canal at multiple points. The sensor contacts are distributed along the exterior of the housing to provide an orientation agnostic configuration. The sensor unit is able to be worn for hours, a day or longer. During wear, the contacts can detect EEG and/or MEG-related signal, such as Alpha waves. Other sensors may be included with the sensor unit to supplement the detection of bio-signals. The obtained signals may be processed on-board or transmitted to a remote device for off-board processing.