The present invention is in the field of hearing tests. In particular, the present invention relates to systems and methods for determining the integrity of Auditory Nerve Fibers (ANFs) and/or afferent Auditory Nerve Synapses (ANSs) and/or inner-hair cells (IHC) in a subject.

The present invention is in the field of hearing tests. In particular, the present invention relates to systems and methods for determining the integrity of Auditory Nerve Fibers (ANFs) and/or afferent Auditory Nerve Synapses (ANSs) and/or inner-hair cells (IHC) in a subject.

The present invention relates to a cognitive function test server, including a communication interface, a memory; and a processor which is operably connected to the communication interface and the memory, and the processor is configured to provide a first sequence to acquire brainwave data of a user in a resting state by means of an HMD device, acquire baseline brainwave data of the user based on the first sequence, provide at least one second sequence related to a cognitive function by means of the HMD device, acquire input data and activated brainwave data based on the second sequence from the HMD device and an input device connected thereto, and generate a cognitive evaluation result of the user based on at least one of the reference brainwave data, the activated brainwave data, and the input data of the user.

The present invention relates to a cognitive function test server, including a communication interface, a memory; and a processor which is operably connected to the communication interface and the memory, and the processor is configured to provide a first sequence to acquire brainwave data of a user in a resting state by means of an HMD device, acquire baseline brainwave data of the user based on the first sequence, provide at least one second sequence related to a cognitive function by means of the HMD device, acquire input data and activated brainwave data based on the second sequence from the HMD device and an input device connected thereto, and generate a cognitive evaluation result of the user based on at least one of the reference brainwave data, the activated brainwave data, and the input data of the user.

A method for machine learning based artifact rejection is provided. The method may include applying a machine learning model to identify artefactual independent components in transcranial magnetic stimulation electroencephalogram data collected during a transcranial magnetic stimulation procedure. Clean transcranial magnetic stimulation electroencephalogram data is generated by removing, from the transcranial magnetic stimulation electroencephalogram data, the artefactual independent components. Real-time adjustments to parameters of the transcranial magnetic stimulation procedure may be performed based on the clean transcranial magnetic stimulation electroencephalogram data. Related systems and articles of manufacture, including computer program products, are also provided.

Methods, systems, and computer programs encoded on a computer storage medium, for improving EEG measurements by identifying artifacts present in EEG measurements and providing a real-time indication to a user of likely artifacts in EEG measurements are described. EEG measurements of a patient can be obtained by placing a wearable device or EEG cap on a patient's head. Sensors in the cap provide EEG data to a computing device that processes the data to identify one or more artifacts in the EEG data. The artifacts can be identified by conducting one or more operations of determining the signal to noise ratio of the line noise, calculating mutual information between sensor pairs, and applying the p-welch method. Based on the types of artifacts identified, the computing device can output an indicator that provides feedback to the technician performing an EEG test to make adjustments to the test setup.

Methods, systems, and computer programs encoded on a computer storage medium, for improving EEG measurements by identifying artifacts present in EEG measurements and providing a real-time indication to a user of likely artifacts in EEG measurements are described. EEG measurements of a patient can be obtained by placing a wearable device or EEG cap on a patient's head. Sensors in the cap provide EEG data to a computing device that processes the data to identify one or more artifacts in the EEG data. The artifacts can be identified by conducting one or more operations of determining the signal to noise ratio of the line noise, calculating mutual information between sensor pairs, and applying the p-welch method. Based on the types of artifacts identified, the computing device can output an indicator that provides feedback to the technician performing an EEG test to make adjustments to the test setup.

The invention relates to methods and systems for determining the intention of a subject to perform a voluntary action based on the analysis of the subject's respiratory phases and neuroelectrical signals.

A metaverse multimedia system based on user brainwaves causes that emotional messages, voice messages and color messages could be captured from the brainwaves of the users. The emotional messages are integrated to the role of the user in the metaverse space. Hence, the role in the metaverse can respond the emotions of the user, while the voice messages and color messages are integrated into the sceneries in the metaverse, which is selected by the user. As a result, the metaverse space completely presents user's states of mind which are captured from the brainwaves of the users. Furthermore the whole sceneries and presentations of the roles in the metaverse space are adjustable with the changes of the users. It can also express user's personalities. Interaction modes between the users and visitors entering into the metaverse space of the user could be analyzed based on the method disclosed in the present invention.

A metaverse multimedia system based on user brainwaves causes that emotional messages, voice messages and color messages could be captured from the brainwaves of the users. The emotional messages are integrated to the role of the user in the metaverse space. Hence, the role in the metaverse can respond the emotions of the user, while the voice messages and color messages are integrated into the sceneries in the metaverse, which is selected by the user. As a result, the metaverse space completely presents user's states of mind which are captured from the brainwaves of the users. Furthermore the whole sceneries and presentations of the roles in the metaverse space are adjustable with the changes of the users. It can also express user's personalities. Interaction modes between the users and visitors entering into the metaverse space of the user could be analyzed based on the method disclosed in the present invention.