Methods and systems for automatically determining a neural response threshold current level
First Claim
1. A method of automatically determining a neural response threshold current level, said method comprising:
- obtaining a plurality of neural recording signals at a plurality of different stimulation current levels;
fitting an artifact model to each of said neural recording signals to obtain a plurality of fitted artifact model signals;
denoising each of said neural recording signals and each of said fitted artifact model signals;
computing a strength-of-response metric for each of said neural recording signals, said computation being based on at least one of said denoised neural recording signals and at least one of said fitted artifact model signals;
comparing each of said strength-of-response metrics to a strength-of-response threshold to identify one or more neural response signals and one or more non-response signals contained within said neural recording signals; and
analyzing a trend between said neural response signals and said non-response signals to determine said neural response threshold current level.
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Accused Products
Abstract
Methods of automatically determining a neural response threshold current level include identifying one or more neural response signals at one or more corresponding stimulation current levels, identifying one or more non-response signals at one or more corresponding stimulation current levels, and analyzing a trend between the neural response signals and the non-response signals. Systems for automatically determining a neural response threshold current level include one or more devices configured to identify one or more neural response signals at one or more corresponding stimulation current levels, identify one or more non-response signals at one or more corresponding stimulation current levels; and analyze a trend between the neural response signals and the non-response signals.
49 Citations
20 Claims
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1. A method of automatically determining a neural response threshold current level, said method comprising:
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obtaining a plurality of neural recording signals at a plurality of different stimulation current levels; fitting an artifact model to each of said neural recording signals to obtain a plurality of fitted artifact model signals; denoising each of said neural recording signals and each of said fitted artifact model signals; computing a strength-of-response metric for each of said neural recording signals, said computation being based on at least one of said denoised neural recording signals and at least one of said fitted artifact model signals; comparing each of said strength-of-response metrics to a strength-of-response threshold to identify one or more neural response signals and one or more non-response signals contained within said neural recording signals; and analyzing a trend between said neural response signals and said non-response signals to determine said neural response threshold current level. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A system for automatically determining a neural response threshold current level, said system comprising:
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a stimulator configured to obtain a plurality of neural recording signals at a plurality of different stimulation current levels; and one or more devices communicatively coupled to said stimulator and configured to fit an artifact model to each of said neural recording signals to obtain a plurality of fitted artifact model signals; denoise each of said neural recording signals and each of said fitted artifact model signals; compute a strength-of-response metric for each of said neural recording signals, said computation being based on at least one of said denoised neural recording signals and at least one of said fitted artifact model signals; compare each of said strength-of-response metrics to a strength-of-response threshold to identify one or more neural response signals and one or more non-response signals contained within said neural recording signals; and analyze a trend between said neural response signals and said non-response signals to determine said neural response threshold current level. - View Dependent Claims (9, 10, 11, 12, 13, 14, 15)
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16. A system for automatically determining a neural response threshold current level, said system comprising:
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means for obtaining a plurality of neural recording signals at a plurality of different stimulation current levels; means for fitting an artifact model to each of said neural recording signals to obtain a plurality of fitted artifact model signals; means for denoising each of said neural recording signals and each of said fitted artifact model signals; means for computing a strength-of-response metric for each of said neural recording signals, said computation being based on at least one of said denoised neural recording signals and at least one of said fitted artifact model signals; means for comparing each of said strength-of-response metrics to a strength-of-response threshold to identify one or more neural response signals and one or more non-response signals contained within said neural recording signals; and means for analyzing a trend between said neural response signals and said non-response signals to determine said neural response threshold current level. - View Dependent Claims (17, 18, 19, 20)
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Specification