A wearable computing device with bio-signal sensors and a feedback module provides an interactive mediated reality (“VR”) environment for a user. The bio-signal sensors receive bio-signal data (for example, brainwaves) from the user and include bio-signal sensors embedded in a display isolator, having a deformable surface, and having an electrode extendable to contact the user's skin. The wearable computing device further includes a processor to: present content in the VR environment via the feedback module; receive bio-signal data of the user from the bio-signal sensor; process the bio-signal data to determine user states of the user, including brain states, using a user profile; modify a parameter of the content in the VR environment in response to the user states of the user. The user receives feedback indicating the modification of the content via the feedback module.

A wearable computing device with bio-signal sensors and a feedback module provides an interactive mediated reality (“VR”) environment for a user. The bio-signal sensors receive bio-signal data (for example, brainwaves) from the user and include bio-signal sensors embedded in a display isolator, having a deformable surface, and having an electrode extendable to contact the user's skin. The wearable computing device further includes a processor to: present content in the VR environment via the feedback module; receive bio-signal data of the user from the bio-signal sensor; process the bio-signal data to determine user states of the user, including brain states, using a user profile; modify a parameter of the content in the VR environment in response to the user states of the user. The user receives feedback indicating the modification of the content via the feedback module.

Methods of performing diagnostic tests on electroencephalography (EEG) recording devices comprising at least one stimulator coupled with a plurality of EEG electrode recording channels and corresponding recording channel connectors are performed by a test fixture comprising a plurality of resistors coupled with one or more of the EEG electrode recording channels and corresponding recording channel connectors. The methods include performing an impedance test for determining if each EEG recording channel of the EEG recording device has a predefined impedance, performing a channel uniqueness test for each EEG recording channel, performing a test for verifying the state of a switch of the stimulator of the EEG recording device, and performing a test for verifying connector IDs of the recording channel connectors connecting the EEG electrodes to respective EEG recording channels.

Systems including intra-calvarial implants and/or subdermal implants are capable of stimulating cortical regions and sensing and electrical signals is implanted within or on a calvarial bone of a skull. The implants have current steering capability to change the current density profiles applied to selected cortical regions underlying the implant. The systems may track changes in the position and/or spatial parameters of a neural network by recording cortical electrical signals and processing them to compute the values of one or more network activity biomarkers. The systems may spatially track changes detected in network anatomical position and deliver the stimulation of the cortex to the network detected position by using current steering methods.

A micro, single piece, tubeless, cordless, directly inserted oral, nasal or hybrid sleep apnea treatment/anti-snoring device having controlled positive air-flow using a vibrationally isolated micro-blower to maintain an individual's upper airway unobstructed (pharynx area) with or without lower jaw, mandibular advancement is disclosed.

A system and method for a multi-stage brain-computer interface training using neural networks that reliably and predictably maps a user's thoughts to particular movements or actions in a computer-generated environment. The system comprises two stages: a pre-training stage, wherein specific exercises are generated on screen, and the brain activity is mapped to the exercises using a neural network as the user attempts to complete the exercises, and an in-use stage, wherein an initial mapping profile is loaded, brain activity is mapped to in-use interactions using a neural network, and those in-use mappings are compared to a library of stored mappings using a neural network to select a more accurate mapping for use in a given situation.

A system and method for a multi-stage brain-computer interface training using neural networks that reliably and predictably maps a user's thoughts to particular movements or actions in a computer-generated environment. The system comprises two stages: a pre-training stage, wherein specific exercises are generated on screen, and the brain activity is mapped to the exercises using a neural network as the user attempts to complete the exercises, and an in-use stage, wherein an initial mapping profile is loaded, brain activity is mapped to in-use interactions using a neural network, and those in-use mappings are compared to a library of stored mappings using a neural network to select a more accurate mapping for use in a given situation.

A filter method for reducing interferences of a measuring signal, caused by magnetic fields of a rotatable medical imaging system while measuring bioelectric signals in a differential voltage measuring system, the filter method including: capturing a frequency value of a rotation of a gantry of the rotatable medical imaging system; generating a virtual reference signal as a function of the frequency value captured; estimating, via an adaptive signal filter, an amplitude and a constant phase offset of an estimated interference signal, based upon the virtual reference signal generated and a measuring signal; and filtering the measuring signal with the adaptive signal filter by subtracting the estimated interference signal from the measuring signal. A filter apparatus is also described. Furthermore a voltage measuring system is described. Furthermore, a rotating medical imaging system is described.

A filter method for reducing interferences of a measuring signal, caused by magnetic fields of a rotatable medical imaging system while measuring bioelectric signals in a differential voltage measuring system, the filter method including: capturing a frequency value of a rotation of a gantry of the rotatable medical imaging system; generating a virtual reference signal as a function of the frequency value captured; estimating, via an adaptive signal filter, an amplitude and a constant phase offset of an estimated interference signal, based upon the virtual reference signal generated and a measuring signal; and filtering the measuring signal with the adaptive signal filter by subtracting the estimated interference signal from the measuring signal. A filter apparatus is also described. Furthermore a voltage measuring system is described. Furthermore, a rotating medical imaging system is described.

Provided is a data processing apparatus including a signal data processor configured to collect signal data detected through polysomnography, to extract feature data by analyzing a feature of the collected signal data, and to transform the extracted feature data to time series data; and a sleep stage classification model processor configured to input the processed signal data to a pre-generated sleep stage classification model, and to classify a sleep stage corresponding to the signal data. The signal data processor is configured to extract feature data by analyzing a feature of each of an electroencephalographic (EEG) signal, an electro-oculographic (EOG) signal, and an electromyographic (EMG) signal with respect to the signal data, and to transform the extracted feature data to an epoch unit of time series data to input the extracted feature data to the pre-generated sleep stage classification model.