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US 10,368,770 B2Granted
Neural event process
AssigneeMonash University
InventorBrian John Lithgow
Life of this patent
Estimating the term…
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.
Claims30
A neural event process, executed by a computer device, including:
- receiving an electrovestibulography (EVestG) signal associated with a person;
- decomposing said signal using wavelets;
- obtaining derivatives of phase data of said wavelets using the computer device;
- obtaining derivatives of said response signal;
- determining maxima and minima of said phase data using the derivatives of said phase data;
- determining maxima and minima of said response signal using the derivatives of said response signal;
- processing said maxima and minima of said phase data and said maxima and minima of said response signal with the computing device to extract timing information to determine peaks representing neural events;
- wherein said obtaining derivatives of phase data includes generating first and second derivatives of said phase data produced by said decomposing, and said maxima and minima of said phase data represent rate of change of phase of scales of said wavelets;
- and
- wherein said maxima and minima of said phase data and said response signal are used to generate data indicating whether said person has a central nervous system disorder.
7 more elements
A neural event process, executed by a computer device, including:
- receiving a neural response signal associated with a person and produced by an electrocochleography system;
- decomposing said signal using at least one wavelet representing a centre frequency having a low frequency in the spectrum of said signal, said wavelet having a bandwidth factor greater than or equal to 0.05 and less than 1;
- obtaining derivatives of phase data of said wavelet using the computer device;
- obtaining derivatives of said response signal;
- determining maxima and minima of said phase data using the derivatives of said phase data;
- determining maxima and minima of said response signal using the derivatives of said response signal;
- and processing said maxima and minima of said phase data and said maxima and minima of said response signal to extract timing information to determine summating potential (Sp) and action potential (Ap) data;
- wherein said obtaining derivatives of phase data includes generating first and second derivatives of said phase data produced by said decomposing, and said maxima and minima of said phase data represent rate of change of phase of scales of said wavelets;
- and wherein said maxima and minima of said phase data and said response signal are used to generate data indicating whether said person has a central nervous system disorder.
6 more elements
A neural event process, executed by a computer device, including:
- receiving an auditory brain stem response (ABR) signal associated with a person and produced by an ABR system;
- decomposing said signal using at least one wavelet representing a centre frequency having a low frequency in the spectrum of said signal, said wavelet having a small bandwidth factor;
- obtaining derivatives of phase data of said wavelet using the computer device;
- obtaining derivatives of said response signal;
- determining maxima and minima of said phase data using the derivatives of said phase data;
- determining maxima and minima of said response signal using the derivatives of said response signal;
- and processing said maxima and minima of said phase data and said maxima and minima of said response signal to extract timing information to determine peaks representing neural events;
- wherein said obtaining derivatives of phase data includes generating first and second derivatives of said phase data produced by said decomposing, and said maxima and minima of said phase data represent rate of change of phase of scales of said wavelets;
- and wherein said maxima and minima of said phase data and said response signal are used to generate data indicating whether said person has a central nervous system disorder.
6 more elements
Dependencies are inferred from the claim text.