An illustrative system includes a sensor component and a controller conductively coupled by way of a first wire and a second wire in a twisted pair configuration. The controller includes a driver configured to drive the sensor component by way of the first and second wires with a drive current in accordance with a gain parameter and a control loop circuit. The control loop circuit is configured to receive a control signal representative of a target current value for the drive current, adjust the gain parameter based on a difference between the target current value and an actual current value of current that is actually being driven through the sensor component, and abstain from adjusting the gain parameter based on current capacitively coupled onto the first and second wires by an external electric field.

A method for characterizing a brain electrical signal comprising forming a temporo-spectral decomposition of the signal to form a plurality of time resolved frequency signal values, associating each instance of the signal value with a predetermined function approximating a neurological signal to form a table of coefficients collectively representative of the brain electrical signal.

A method for characterizing a brain electrical signal comprising forming a temporo-spectral decomposition of the signal to form a plurality of time resolved frequency signal values, associating each instance of the signal value with a predetermined function approximating a neurological signal to form a table of coefficients collectively representative of the brain electrical signal.

A device and method is provided for stimulation of neurons. The device includes a stimulation unit that can be implanted into a body of a patient and has stimulation elements that apply a stimulation signal to tissue of the patient to stimulate neurons in the brain and/or the spinal cord of the patient. Moreover, a measuring unit receive a measurement signal that reflects a neuronal activity of the stimulated neurons. Further, a control unit generate a modulation signal from the measurement signal, and modulates an amplitude of a pulse train with the modulation signal. Individual pulses of the pulse train include a first and second pulse portions that introduce and remove charge from the tissue. Moreover, the control unit varies a pause between the pulse portions until the synchronization of the stimulated neurons is minimized or falls below a predetermined threshold.

A biometric information display device includes a display controller configured to display a morphological image indicative of a morphology of a subject, on a display, an input controller configured to receive a designation of a specified position on the morphological image, a pathway generating section configured to generate a pathway based on the specified position on the morphological image, and a current extracting section configured to extract current components at a plurality of positions along the pathway, based on current information reconstructed based on magnetic field measurement data generated by the subject. The display controller displays the current components extracted along the pathway on the display.

One embodiment is a magnetic field measurement system that includes at least one magnetometer having a vapor cell, a light source to direct light through the vapor cell, and a detector to receive light directed through the vapor cell; at least one magnetic field generator disposed adjacent the vapor cell; and a feedback circuit coupled to the at least one magnetic field generator and the detector of the at least one magnetometer. The feedback circuit includes at least one feedback loop that includes a first low pass filter with a first cutoff frequency. The feedback circuit is configured to compensate for magnetic field variations having a frequency lower than the first cutoff frequency. The first low pass filter rejects magnetic field variations having a frequency higher than the first cutoff frequency and provides the rejected magnetic field variations for measurement as an output of the feedback circuit.

A signal separating apparatus includes circuitry to separate a signal of interest and other signal other than the signal of interest from each other in accordance with spatial information on a plurality of sensors installed at locations different from each other. The circuitry sets a parameter based on a spread of a subspace of the signal of interest, determines a degree of separation that serves as an index indicative of whether the set parameter is appropriate, and separates the signal of interest and the other signal from each other using the degree of separation.

An information processing system includes a processor configured to determine an operation based on a combination of first features of first biological information detected from a user and second features of second, different biological information detected from the user, the user being monitored for both the first biological information and the second biological information simultaneously, the first biological information being brain waves, and instruct a device to perform the operation.

A determination apparatus includes circuitry configured to: compare signal separation results obtained by a plurality of signal separation algorithms executed on a mixed signal in which signals emitted from a plurality of signal sources are mixed, each of the plurality of signal separation algorithms being an algorithm separating a signal of interest from the mixed signal; and determine a parameter of each of the plurality of signal separation algorithms based on a comparison result.

The present disclosure provides a system for analyzing electrical activities of at least one brain. The system comprises a visual output module for rendering a visual output space according to analyzed data sets generated by an analysis module, and displaying a visual output. The visual output comprises a first axis representing FM, a second axis representing AM, and a plurality of visual elements defined by the first axis and the second axis. Each of the visual elements comprises an accumulated signal strength and the analyzed data sets. Each of the analyzed data sets comprises a plurality of analyzed data units collected over a time period.