This invention, which focuses on personality and aptitude matching by psychophysiologic response to stimuli, is referred to as Brain Matching. In general terms, this invention starts by selecting highly specialized skill sets and top performer group for each skill set. The various groups are analyzed though psychophysiologic stimuli testing by using basically the same testing consisting of large numbers stimuli tests in a consistent testing environment. Stimuli tests can range from hundreds to thousands of images each producing a brainwave response. Neural Networks, Artificial Intelligence, Deep Learning computers look at the test results, highly specialized group by other highly specialized group to reduce the groups signature/response commonality into a template. Test subjects are then tested using the same stimuli. The subject's test results are analyzed for correlation with the various specialized expert groups.

An apparatus and method is provided for intraoperative tissue stimulation during port-based surgery. The apparatus includes an access port and electrical terminals attached to the access port for tissue stimulation. In an alternative embodiment, the apparatus may include an access port, with or without electrical terminals attached to the access port for tissue stimulation, and electrocorticography sensors attached to the access port. The method includes inserting an access port into a tissue, applying an electrical potential to the tissue using electrical terminals attached to the access port, and measuring consequent neural activity using electrocorticography sensors attached to the access port.

An exemplary diagnostic system is configured to direct an acoustic stimulation generator to an acoustic stimulation generator to apply acoustic stimulation having a plurality of stimulus frequencies to a recipient of a cochlear implant during an insertion procedure in which an electrode lead communicatively coupled to the cochlear implant is inserted into a cochlea of the recipient, direct the cochlear implant to use an electrode disposed on the electrode lead to record a plurality of evoked response signals during the insertion procedure, each evoked response signal included in the plurality of evoked response signals corresponding to a different stimulus frequency included in the plurality of stimulus frequencies, and determine, based on an amplitude and a phase of each of one or more evoked response signals included in the plurality of evoked response signals, an insertion state of the electrode lead within the cochlea of the recipient.

According to one embodiment, a speech imagery recognition device is configured to recognize speech from electroencephalogram (EEG) signals during speech imagery. The speech imagery recognition device comprises an analysis processor and an extractor. The analysis processor is configured to analyze discrete signals, which are obtained from EEG signals received from a plurality of electrodes, for each of the electrodes and output a spectral time sequence. The extractor is configured to obtain eigenvectors for each phoneme from the spectral time sequence and output a phoneme-feature vector time sequence based on the eigenvectors.

A method, implemented by computer, for predicting an effect of an acoustic stimulation of the brain waves of an individual, the method including: acquisition of at least one measurement signal representative of a physiological signal of the individual, by a device for acoustic stimulation of brain waves that is suitable for being worn by the individual; analysis of the measurement signal by an artificial intelligence trained to predict the effect of an acoustic stimulation; and determination of whether an acoustic stimulation is to be performed by the device.

A training and simulation assembly for the learning of deliberate control of a specified body part by a test subject contains an electrode cap, which has a number of electrodes, and an evaluation unit, which is configured to measure voltages present at the electrodes and to provide measurement results as EEG measurement data. The evaluation unit analyzes the EEG measurement data for the presence of a mental act and to determine a correspondence value, which indicates the correspondence of the EEG measurement data with reference values defined by the mental act. A control unit and a simulation unit are provided. The simulation unit stimulates the body of the test subject at a specified point of the body and/or to trigger a motion. The control unit controls the stimulation unit and the ability to apply an indicating stimulus to the body part by the stimulation unit.

A training and simulation assembly for the learning of deliberate control of a specified body part by a test subject contains an electrode cap, which has a number of electrodes, and an evaluation unit, which is configured to measure voltages present at the electrodes and to provide measurement results as EEG measurement data. The evaluation unit analyzes the EEG measurement data for the presence of a mental act and to determine a correspondence value, which indicates the correspondence of the EEG measurement data with reference values defined by the mental act. A control unit and a simulation unit are provided. The simulation unit stimulates the body of the test subject at a specified point of the body and/or to trigger a motion. The control unit controls the stimulation unit and the ability to apply an indicating stimulus to the body part by the stimulation unit.

First data comprising a first range of audio frequencies is received. The first range of audio frequencies corresponds to a predetermined cochlear region of a listener. Second data comprising a second range of audio frequencies is also received. Third data comprising a first modulated range of audio frequencies is acquired. The third data is acquired by modulating the first range of audio frequencies according to a stimulation protocol that is configured to provide neural stimulation of a brain of the listener. The second data and the third data are arranged to generate an audio composition from the second data and the third data.

The invention(s) described relate generally to synthetic brain models implementing computer operations that are configured to understand human thoughts and feelings and modulate content accordingly, with the aim of providing better, more personalized service (e.g., in the context of entertainment, training, health, security, etc.). The empathic computing system executing the synthetic brain model(s) described brings utility to evaluation of digital content experiences (e.g., involving mixed media formats) provided to users in their daily lives (e.g., with respect to audio content, with respect to visual content, with respect to content of other formats, with respect to connected home applications, with respect to AR/VR device applications, with respect to automotive technology applications, etc.).

The present application relates to a system for diagnosing cochlear hydrops of a person or an animal. The system comprises an acoustic stimulus generating unit comprising a stimulus generator and an output transducer, where the acoustic stimulus generating unit is configured to provide an audio stimulus by the stimulus generator to at least one of the ears of the person or animal via the output transducer, wherein the acoustic stimulus generating unit is configured to provide a plurality of audio stimuli comprising at least a first click audio stimulus and a first chirp audio stimulus or at least a first and a second chirp audio stimuli, a recording unit configured to record one or more auditory electrophysiological response of the person or animal in response to the one or more audio stimulus being provided by the acoustic stimulus generating unit to at least one of the ears of the person or animal, and a diagnostic unit configured to process the recorded ABR.