Abstract: A method for processing a vestibulo-acoustic signal, including receiving an vestibulo-acoustic signal obtained from a person; decomposing said signal using wavelets; differentiating said signal and phase data of said wavelets to determine loci of components of a composite field potential waveform produced by the vestibular system of the person.

Abstract: A neural event process, including receiving a neural response signal, decomposing the signal using at least one wavelet, differentiating phase data of the wavelets and the response signal to determine maxima and minima of the phase data and the signal, and processing the maxima and minima to determine peaks representing neural events.

Abstract: A neural event process, including receiving a neural response signal, decomposing the signal using at least one wavelet, differentiating phase data of the wavelets and the response signal to determine maxima and minima of the phase data and the signal, and processing the maxima and minima to determine peaks representing neural events.

Abstract: A neural analysis system, including: a neural event extractor for generating Sp/Ap curve data and field potential data for background and initial response segments obtained from a person; a correlator for correlating the Sp/Ap curve data and field potential data with pathology data for a condition, and generating biomarker data points for axes of a biomarker display; and a display module for providing display data to generate the display with the points for use in assessing the person relative to the condition.

Abstract: A neural response system, including a plurality of filters for each receiving and filtering a plurality of tilt response signals obtained from a person; a segmenter for segmenting the filtered response signals into time segments; and a neural event extractor for performing a neural event extraction process on each of the time segments to obtain and generate biomarker data representing a plurality of biomarkers for each segment.

Abstract: A neural response system, including a plurality of filters for each receiving and filtering a plurality of tilt response signals obtained from a person; a segmenter for segmenting the filtered response signals into time segments; and a neural event extractor for performing a neural event extraction process on each of the time segments to obtain and generate biomarker data representing a plurality of biomarkers for each segment.

Abstract: A neural analysis system, including: a neural event extractor for generating Sp/Ap curve data and field potential data for background and initial response segments obtained from a person; a correlator for correlating the Sp/Ap curve data and field potential data with pathology data for a condition, and generating biomarker data points for axes of a biomarker display; and a display module for providing display data to generate the display with the points for use in assessing the person relative to the condition.

Abstract: A speech analysis system, including a kurtosis module for processing a coded sound signal to generate kurtosis measure data; a wavelet module for processing the coded sound signal to generate wavelet coefficients; and a classification module for processing the wavelet coefficients and the kurtosis measure data to generate label data representing a classification for the coded sound signal. The sound signal is classified as environmental noise, silence, speech from a single speaker, speech from multiple speakers, speech from a single speaker plus environmental noise, or speech from multiple speakers plus environmental noise. Speech is further classified as voiced or unvoiced.

Abstract: A neural response system, including a plurality of filters for each receiving and filtering a plurality of tilt response signals obtained from a person; a segmenter for segmenting the filtered response signals into time segments; and a neural event extractor for performing a neural event extraction process on each of the time segments to obtain and generate biomarker data representing a plurality of biomarkers for each segment.

Abstract: A neural event process, including receiving a neural response signal, decomposing the signal using at least one wavelet, differentiating phase data of the wavelets and the response signal to determine maxima and minima of the phase data and the signal, and processing the maxima and minima to determine peaks representing neural events.