An active shield magnetometry system comprises at least one magnetic field actuator configured for generating an actuated magnetic field that at least partially cancels an outside magnetic field, thereby yielding a total residual magnetic field. The active shield magnetometry system further comprises a plurality of magnetometers respectively configured for measuring the total residual magnetic field and outputting a plurality of total residual magnetic field measurements. The active shield magnetometry system further comprises at least one feedback control loop comprising at least one optimal linear controller configured for controlling the actuated magnetic field at least partially based on at least one of the plurality of total residual magnetic field measurements respectively output by at least one of the plurality of magnetometers.

An active shield magnetometry system comprises at least one magnetic field actuator configured for generating an actuated magnetic field that at least partially cancels an outside magnetic field, thereby yielding a total residual magnetic field. The active shield magnetometry system further comprises a plurality of magnetometers respectively configured for measuring the total residual magnetic field and outputting a plurality of total residual magnetic field measurements. The active shield magnetometry system further comprises at least one feedback control loop comprising at least one optimal linear controller configured for controlling the actuated magnetic field at least partially based on at least one of the plurality of total residual magnetic field measurements respectively output by at least one of the plurality of magnetometers.

A magnetic field measurement system includes a magnetometer having at least one vapor cell, at least one light source to direct at least two light beams through the vapor cell(s), and at least one detector; at least one magnetic field generator to modify an external magnetic field experienced by the vapor cell(s); and at least one processor configured for: applying a first modulation pattern, b.sub.mod(t), to the magnetic field generator(s) to modulate a magnetic field at the vapor cell(s), where b.sub.mod(t)=[c.sub.x cos(ωt)+s.sub.x sin(ωt), c.sub.y cos(ωt)+s.sub.y sin(ωt), c.sub.z cos(ωt)+s.sub.z sin(ωt)], where c.sub.x, s.sub.x, c.sub.y, s.sub.y, c.sub.z, and s.sub.z are amplitudes and ω is a frequency; directing the light source(s) to direct the light beams through the vapor cell(s); receiving signals from the detector(s); and determining three orthogonal components of the external magnetic field using the received signals. Multi-frequency modulation patterns can alternatively be used.

A dual-helmet magnetoencephalography measuring apparatus includes: an internal container storing a liquid refrigerant; an external container disposed to surround the internal container and including a first external helmet and a second external helmet disposed to be spaced apart from each other; a first sensor-mounted helmet disposed to surround the first external helmet between the external container and the internal container; a second sensor-mounted helmet disposed to surround the second external helmet between the externa container and the internal container; a plurality of first SQUID sensor module disposed on the first sensor-mounted helmet; and a plurality of second SQUID sensor module disposed on the second sensor-mounted helmet.

A dual-helmet magnetoencephalography measuring apparatus includes: an internal container storing a liquid refrigerant; an external container disposed to surround the internal container and including a first external helmet and a second external helmet disposed to be spaced apart from each other; a first sensor-mounted helmet disposed to surround the first external helmet between the external container and the internal container; a second sensor-mounted helmet disposed to surround the second external helmet between the externa container and the internal container; a plurality of first SQUID sensor module disposed on the first sensor-mounted helmet; and a plurality of second SQUID sensor module disposed on the second sensor-mounted helmet.

A dual-helmet magnetoencephalography measuring apparatus according to an example embodiment includes: an internal container storing a liquid refrigerant; an external container disposed to surround the internal container and including a first external helmet and a second external helmet disposed to be spaced apart from each other; a first sensor-mounted helmet disposed between the external container and the internal container to surround the first external helmet; a second sensor-mounted helmet disposed between the external container and the internal container to surround the second external helmet; a plurality of first SQUID sensor modules disposed on the first sensor-mounted helmet; and a plurality of second SQUID sensor modules disposed on the second sensor-mounted helmet. The internal container and the external container are tilted in a vertical direction.

A dual-helmet magnetoencephalography measuring apparatus according to an example embodiment includes: an internal container storing a liquid refrigerant; an external container disposed to surround the internal container and including a first external helmet and a second external helmet disposed to be spaced apart from each other; a first sensor-mounted helmet disposed between the external container and the internal container to surround the first external helmet; a second sensor-mounted helmet disposed between the external container and the internal container to surround the second external helmet; a plurality of first SQUID sensor modules disposed on the first sensor-mounted helmet; and a plurality of second SQUID sensor modules disposed on the second sensor-mounted helmet. The internal container and the external container are tilted in a vertical direction.

This document discusses, among other things, systems and methods for managing pain of a subject. A system includes one or more physiological sensors configured to sense a physiological signal indicative of patient brain activity. The physiological signals may include an electroencephalography signal, a magnetoencephalography signal, or a brain-evoked potential. The system may extract from the brain activity signal one or more signal metrics indicative of strength or pattern of brain electromagnetic activity associated with pain, and generate a pain score using the one or more signal metrics. The pain score can be output to a patient or a process. The system may select an electrode configuration for pain-relief electrostimulation based on the pain score, and deliver a closed-loop pain therapy according to the selected electrode configuration.

This document discusses, among other things, systems and methods for managing pain of a subject. A system includes one or more physiological sensors configured to sense a physiological signal indicative of patient brain activity. The physiological signals may include an electroencephalography signal, a magnetoencephalography signal, or a brain-evoked potential. The system may extract from the brain activity signal one or more signal metrics indicative of strength or pattern of brain electromagnetic activity associated with pain, and generate a pain score using the one or more signal metrics. The pain score can be output to a patient or a process. The system may select an electrode configuration for pain-relief electrostimulation based on the pain score, and deliver a closed-loop pain therapy according to the selected electrode configuration.

A system may access electroencephalography (EEG) data of a subject, the EEG data including responses of the subject to an activation procedure. A system may analyze the EEG data including a plurality of epochs corresponding to the responses to identify first peaks, second peaks, and third peaks in one or more epochs. A system may determine values of a parameter in the plurality of epochs, the parameter being a characteristic of the first peak, the second peak, and/or the third peak. A system may generate a visual representation of the EEG data of the subject, the visual representation including an illustration of the first peak, the second peak and/or the third peak of a representative epoch or a heatmap compiled from the plurality of epochs, and the visual representation further including a graphical representation of the parameter that is presented as evidence of whether the subject is cognitively impaired.