Intelligent Hearing Systems

University of Pittsburgh

Mednax Services, Inc.

Rafael E Delgado

John Robert Boston

Ozcan Ozdamar

Edward Miskiel

Abreena Iris Tlumak

Juan Carlos Bordo

John David Durrant

Beverly Gail Lim

The present invention relates to methods and systems for profiling evoked potentials in brain electrical activity which apply steady state response concepts to analysis of longer latency responses reflective of activity of brain regions beyond the brainstem, up to an including the cortex. The use of repeated stimuli within a single analysis window produces a quasi steady-state response and permits a high-resolution spectral analysis. Response amplitudes were measured at repetition rates from 80 to below 1 Hz, using trains of repeated tone-burst stimuli. An amplitude measure introduced and defined as the harmonic sum was incorporated into the spectral power of the response carried by both the fundamental frequency, and the harmonics thereof. Additionally, time ensemble averaging can be employed to improve signal to noise ratio.

Steady state measurement and analysis approach to profiling auditory evoked potentials from short-latency to long latency

A method includes adhering an audiometric device to a surface of an ear or to an ear canal, the audiometric device including an adhesive contacting the surface of the ear or the ear canal; and conducting an audiometric procedure with the audiometric device adhered to the surface of the ear or the ear canal.

Audiometric devices

The evoked potential processing system includes, in one embodiment, a spectral averaging method. Time based, digital pre-stimulus and post-stimulus electroencephalographic (EEG) signal streams are obtained and are converted into frequency spectrum signals. A differential spectrum is obtained. The differential spectrums from a plurality of sweeps are summed. The summed differential spectrum is then converted into a time based signal stream which contains the evoked potential (EP) signal therein. The EP signal can also be obtained utilizing a two-dimensional filter. Pre- and post-stimulus EEG signal streams for a sub-group of stimuli, wherein each stimulus in a group has the same intensity or frequency, are filtered by conventional averaging or spectral differential averaging. The time based, filtered, post-stimulus EEG signal streams are placed in an array and the array is then filtered by a two-dimensional Fast Fourier Transform (FFT) filter. The array is then filtered by a mask and the masked array is then transformed into a time based format by an inverse FFT. The adaptive averaging technique utilizes a computational formula which computes an estimated running signal to noise ratio. When the difference between the pre-stimulus running SNR and the post-stimulus running SNR is less than a predetermined threshold, further stimulation and acquisition of EEG signals stops. Hence, the post-acquisition processing of the EEG signals is limited to that number of EEG sweeps. The electrode wire configuration uses a cross wiring scheme wherein the shield of a particular wire is connected to the other electrode wire to eliminate artifacts in the respective electrode wire.

Evoked potential processing system with spectral averaging, adaptive

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Coral Gables, FL, United States of America

Rafael E Delgado