Patent classifications
A61B5/245
SYSTEMS AND METHODS FOR ENHANCED ENCODED SOURCE IMAGING
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.
SYSTEMS AND METHODS FOR ENHANCED ENCODED SOURCE IMAGING
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.
BACKGROUND MAGNETIC FIELD COMPENSATION IN MAGNETIC FIELD DETECTION SYSTEMS
Various embodiments disclosed herein comprise a system. The system comprises a coil, a magnetic field sensor, and a controller. The coil generates a spatially and temporally varying magnetic field. The magnetic field sensor measures the magnetic field and a background magnetic field. The magnetic field sensor provides a magnetic field measurement and a background magnetic field measurement to the controller. The controller determines the position and orientation of the magnetic field sensor based on the magnetic field measurement and the background magnetic field measurement. The controller transfers control signaling to modify the magnetic field based on the position and orientation of the magnetic field sensor to null the background magnetic field. The coil receives the control signaling and modifies the spatially and temporally varying magnetic field based on the control signaling to null the background magnetic field.
BACKGROUND MAGNETIC FIELD COMPENSATION IN MAGNETIC FIELD DETECTION SYSTEMS
Various embodiments disclosed herein comprise a system. The system comprises a coil, a magnetic field sensor, and a controller. The coil generates a spatially and temporally varying magnetic field. The magnetic field sensor measures the magnetic field and a background magnetic field. The magnetic field sensor provides a magnetic field measurement and a background magnetic field measurement to the controller. The controller determines the position and orientation of the magnetic field sensor based on the magnetic field measurement and the background magnetic field measurement. The controller transfers control signaling to modify the magnetic field based on the position and orientation of the magnetic field sensor to null the background magnetic field. The coil receives the control signaling and modifies the spatially and temporally varying magnetic field based on the control signaling to null the background magnetic field.
Treatment of depression using machine learning
Provided herein are, inter alia, methods for identifying subjects suffering from depression that will respond to treatment with an antidepressant.
Treatment of depression using machine learning
Provided herein are, inter alia, methods for identifying subjects suffering from depression that will respond to treatment with an antidepressant.
Treatment of depression using machine learning
Provided herein are, inter alia, methods for identifying subjects suffering from depression that will respond to treatment with an antidepressant.
Treatment of depression using machine learning
Provided herein are, inter alia, methods for identifying subjects suffering from depression that will respond to treatment with an antidepressant.
Sensor localization in a magnetoencephalography (MEG) system
Various embodiments disclosed herein comprise systems and methods to locate magnetic field sensors. In some examples, a system comprises a controller, a sensor mount, a coil set comprising one or more coils, and a magnetic field sensor. The sensor mount mounts the magnetic field sensor and constrains at least one degree of freedom of the magnetic field sensor in position or orientation. The controller supplies electric current to the coil set. The coil set generates magnetic waves that form at least one coil magnetic field in response to receiving the current. The magnetic field sensor measures the strength of the coil magnetic field. The controller locates the magnetic field sensor based on the constraint and the measured strength of the coil magnetic field.
Sensor localization in a magnetoencephalography (MEG) system
Various embodiments disclosed herein comprise systems and methods to locate magnetic field sensors. In some examples, a system comprises a controller, a sensor mount, a coil set comprising one or more coils, and a magnetic field sensor. The sensor mount mounts the magnetic field sensor and constrains at least one degree of freedom of the magnetic field sensor in position or orientation. The controller supplies electric current to the coil set. The coil set generates magnetic waves that form at least one coil magnetic field in response to receiving the current. The magnetic field sensor measures the strength of the coil magnetic field. The controller locates the magnetic field sensor based on the constraint and the measured strength of the coil magnetic field.