The present invention provides a magnetic monitoring system for imaging, monitoring, scanning or mapping for brain or heart activity of subjects including children and adults, the system comprising of a magnetoencephalographic or magnetocardiographic system incorporating SQUID sensors for measuring brain activity or heart activity, the system including a plurality of Dewar helmets of variable sizes and shapes; and a plurality of monitoring interfaces; wherein the sensor system helmet is moveable by horizontal Dewar rotation. The sensor system includes configurations where the size and shape of helmets in the system may be different to accommodate different sized subjects for monitoring simultaneously.

The present invention provides a magnetic monitoring system for imaging, monitoring, scanning or mapping for brain or heart activity of subjects including children and adults, the system comprising of a magnetoencephalographic or magnetocardiographic system incorporating SQUID sensors for measuring brain activity or heart activity, the system including a plurality of Dewar helmets of variable sizes and shapes; and a plurality of monitoring interfaces; wherein the sensor system helmet is moveable by horizontal Dewar rotation. The sensor system includes configurations where the size and shape of helmets in the system may be different to accommodate different sized subjects for monitoring simultaneously.

An apparatus and method for removing high-frequency radio frequency interference are disclosed. The apparatus includes a filtering unit for filtering an original electroencephalogram signal to obtain an intermediate electroencephalogram signal; a high-frequency signal extraction unit for filtering the intermediate electroencephalogram signal to extract a high-frequency signal from the intermediate electroencephalogram signal; a marking unit for comparing the amplitude of the high-frequency signal with a comparison threshold value, and performing classification marking on the intermediate electroencephalogram signal according to a comparison result; a collection unit for sampling the intermediate electroencephalogram signal that has been performed with the classification marking to obtain a desired electroencephalogram signal and inputting the desired electroencephalogram signal into a processor; and the processor for setting the comparison threshold value and controlling the collection unit to perform sampling.

An apparatus and method for removing high-frequency radio frequency interference are disclosed. The apparatus includes a filtering unit for filtering an original electroencephalogram signal to obtain an intermediate electroencephalogram signal; a high-frequency signal extraction unit for filtering the intermediate electroencephalogram signal to extract a high-frequency signal from the intermediate electroencephalogram signal; a marking unit for comparing the amplitude of the high-frequency signal with a comparison threshold value, and performing classification marking on the intermediate electroencephalogram signal according to a comparison result; a collection unit for sampling the intermediate electroencephalogram signal that has been performed with the classification marking to obtain a desired electroencephalogram signal and inputting the desired electroencephalogram signal into a processor; and the processor for setting the comparison threshold value and controlling the collection unit to perform sampling.

A rider interface for a vehicle includes a data processor configured to facilitate communication between a rider using the rider interface and the vehicle, the vehicle and the rider interface communicating location and orientation of the vehicle. An augmented reality system with a display is disposed to facilitate presenting an augmentation of content in an environment of the rider using the rider interface, the augmentation responsive to a registration of the communicated location and orientation of the vehicle, wherein at least one parameter of the augmentation is determined by machine learning on at least one input relating to at least one of the rider and the rider interface.

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.

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.

A method of updating a protocol for a Virtual Reality (VR) medical test via a user device having a processor, the VR medical test being performed on a subject via a VR device worn by the subject, wherein the method is performed by the processor and the method comprises: displaying GUI elements associated with the protocol on the user device, the GUI elements having user adjustable settings for modifying a functioning of the VR medical test; receiving a selection input from the user device corresponding to a selection of the GUI elements; receiving a setting input from the user device that corresponds to the selected GUI elements; modifying the user adjustable setting for each of the selected GUI elements according to the corresponding setting input; and updating the protocol based on the user adjustable setting for each of the selected GUI elements and operations associated with the VR device.

An electronic device for providing a user interface related to a sleep state and an operating method thereof are provided. The electronic device includes a communication circuit, a memory, and at least one processor. The least one processor may be configured to acquire real-time sleep data of a user with regard to a unit sleep session, detect an abnormal rapid eye movement (REM) sleep event based on the real-time sleep data and the user's previous sleep data with regard to a full sleep session, and provide a user interface based on designated action information in response to the abnormal REM sleep event.

According to an example aspect of the present invention, there is provided a method for the delivery of a session of therapeutic transcranial magnetic stimulation, TMS, the method comprising: defining a session of transcranial magnetic stimulation, TMS, the session of TMS comprising a plurality of pulse trains, each pulse train comprising at least one burst and each burst comprising at least one pulse pair; placing a TMS device relative to an individual's brain such that the TMS device targets a selected region within the brain; and applying the session of TMS using the TMS device, wherein each pulse train comprises 2 to 20 bursts, the interval between bursts being 80 to 500 ms, the interval between pulses of the at least one pulse pair is 1 to 20 ms, and the interval between pulse trains is 1 to 60 seconds.