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 aspect of the present invention, a brain function determination apparatus includes a first acquisition unit, a first conversion unit, and an identification unit. The first acquisition unit is configured to acquire brain function data including a temporal change, indicating a brain function state measured by a measurement apparatus. The first conversion unit is configured to convert the brain function data acquired by the first acquisition unit, to first converted data including information on at least a time and a space as dimensions. The identification unit is configured to perform an identification process of determining a brain disease and identifying a brain disease region, using the first converted data as an input of a deep learning model constructed by predetermined deep learning.

An aspect of the present invention, a brain function determination apparatus includes a first acquisition unit, a first conversion unit, and an identification unit. The first acquisition unit is configured to acquire brain function data including a temporal change, indicating a brain function state measured by a measurement apparatus. The first conversion unit is configured to convert the brain function data acquired by the first acquisition unit, to first converted data including information on at least a time and a space as dimensions. The identification unit is configured to perform an identification process of determining a brain disease and identifying a brain disease region, using the first converted data as an input of a deep learning model constructed by predetermined deep learning.

According to one embodiment, a magnetic sensor includes a first sensor part, and a conductive member. The first sensor part includes a first magnetic element, a first side magnetic part, and a first counter side magnetic part. The conductive member includes a first corresponding portion along the first magnetic element. The first magnetic element includes a first magnetic layer, a first counter magnetic layer, a direction from the first magnetic layer toward the first counter magnetic layer being along a first direction, and a first intermediate magnetic layer located between the first magnetic layer and the first counter magnetic layer. The first side magnetic part includes a first side magnetic layer. The first counter side magnetic part includes a first counter side magnetic layer. The first intermediate magnetic layer is between the first side magnetic layer and the first counter side magnetic layer in a second direction.

According to one embodiment, a magnetic sensor includes a first sensor part, and a conductive member. The first sensor part includes a first magnetic element, a first side magnetic part, and a first counter side magnetic part. The conductive member includes a first corresponding portion along the first magnetic element. The first magnetic element includes a first magnetic layer, a first counter magnetic layer, a direction from the first magnetic layer toward the first counter magnetic layer being along a first direction, and a first intermediate magnetic layer located between the first magnetic layer and the first counter magnetic layer. The first side magnetic part includes a first side magnetic layer. The first counter side magnetic part includes a first counter side magnetic layer. The first intermediate magnetic layer is between the first side magnetic layer and the first counter side magnetic layer in a second direction.

A method receives EEG data from at least one electrode implanted in the brain of the subject. The method determines a current or predicted brain state from the EEG data using an artificial intelligence (AI) model

An information processing device, a biomedical-signal measuring system, and a recording medium storing program code for causing a computer to execute a biomedical signal display method. The information processing device includes circuitry to display, on a display device, a first waveform display area indicating a waveform that indicates changes over time in a biomedical signal, and display a distribution display area indicating a distribution of the biomedical signal. Once input data indicating selection of a certain point of the waveform displayed in the first waveform display area is accepted, the circuitry displays the distribution display area based on the input data when the distribution display area is hidden from view, and the circuitry updates the distribution indicated in the distribution display area before the input data is accepted to a distribution based on the input data and displays the updated distribution when the distribution display area is being displayed.

An information processing device, a biomedical-signal measuring system, and a recording medium storing program code for causing a computer to execute a biomedical signal display method. The information processing device includes circuitry to display, on a display device, a first waveform display area indicating a waveform that indicates changes over time in a biomedical signal, and display a distribution display area indicating a distribution of the biomedical signal. Once input data indicating selection of a certain point of the waveform displayed in the first waveform display area is accepted, the circuitry displays the distribution display area based on the input data when the distribution display area is hidden from view, and the circuitry updates the distribution indicated in the distribution display area before the input data is accepted to a distribution based on the input data and displays the updated distribution when the distribution display area is being displayed.

Devices and systems as described herein is configured to sense a signal, such as a signal from an individual. In some embodiments, a signal is a magnetic field. In some embodiments, a source of a signal is an individual's organ, such as a heart muscle. A device or system, in some embodiments, comprises one or more sensors, such as an array of sensors configured to sense the signal. A device or system, in some embodiments, comprises a shield or portion thereof to reduce noise and enhance signal collection.

Devices and systems as described herein is configured to sense a signal, such as a signal from an individual. In some embodiments, a signal is a magnetic field. In some embodiments, a source of a signal is an individual's organ, such as a heart muscle. A device or system, in some embodiments, comprises one or more sensors, such as an array of sensors configured to sense the signal. A device or system, in some embodiments, comprises a shield or portion thereof to reduce noise and enhance signal collection.