Methods and systems for automatically identifying whether a neural recording signal includes a neural response signal
First Claim
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1. A method of automatically identifying whether a neural recording signal includes a neural response signal, said method comprising:
- providing an artifact model that describes a model stimulus artifact signal that is correlated with a stimulus used to evoke said neural recording signal, said artifact model being represented by a plurality of model parameters;
fitting, by a computer, said artifact model to a neural recording signal to produce a fitted artifact model signal, said fitting comprising determining values for said model parameters that result in a minimized error between the artifact model and said neural recording signal;
determining, by the computer, a strength-of-response (SOR) metric that describes a distance of said neural recording signal from said fitted artifact model signal; and
identifying, by the computer, said neural recording signal as including a neural response signal if said strength-of-response metric is above a pre-determined threshold.
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Abstract
Methods of automatically identifying whether a neural recording signal includes a neural response signal include fitting an artifact model to a neural recording signal to produce a fitted artifact model signal, determining a strength-of-response metric that describes a distance of the neural recording signal from the fitted artifact model signal, and identifying the neural recording signal as including a neural response signal if the strength-of-response metric is above a pre-determined threshold. Corresponding systems are also described.
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Citations
20 Claims
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1. A method of automatically identifying whether a neural recording signal includes a neural response signal, said method comprising:
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providing an artifact model that describes a model stimulus artifact signal that is correlated with a stimulus used to evoke said neural recording signal, said artifact model being represented by a plurality of model parameters; fitting, by a computer, said artifact model to a neural recording signal to produce a fitted artifact model signal, said fitting comprising determining values for said model parameters that result in a minimized error between the artifact model and said neural recording signal; determining, by the computer, a strength-of-response (SOR) metric that describes a distance of said neural recording signal from said fitted artifact model signal; and identifying, by the computer, said neural recording signal as including a neural response signal if said strength-of-response metric is above a pre-determined threshold. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A method of automatically identifying whether a neural recording signal includes a neural response signal, said method comprising:
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fitting, by a computer, an artifact model to a neural recording signal to produce a fitted artifact model signal; determining, by the computer, a strength-of-response (SOR) metric that describes a distance of said neural recording signal from said fitted artifact model signal; and identifying, by the computer, said neural recording signal as including a neural response signal if said strength-of-response metric is above a pre-determined threshold; wherein said strength-of-response metric is determined by evaluating
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11. A system for automatically identifying whether a neural recording signal includes a neural response signal, said system comprising one or more devices configured to:
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provide an artifact model that describes a model stimulus artifact signal that is correlated with a stimulus used to evoke said neural recording signal, said artifact model being represented by a plurality of model parameters; fit said artifact model to a neural recording signal to produce a fitted artifact model signal by determining values for said model parameters that result in a minimized error between said artifact model and said neural recording signal; determine a strength-of-response (SOR) metric that describes a distance of said neural recording signal from said fitted artifact model signal; and automatically identify said neural recording signal as including a neural response signal if said strength-of-response metric is above a pre-determined threshold. - View Dependent Claims (12, 13, 14, 15)
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16. A system for automatically identifying whether a neural recording signal includes a neural response signal, said system comprising:
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means for fitting an artifact model to a neural recording signal to produce a fitted artifact model signal; means for determining a strength-of-response (SOR) metric that describes a distance of said neural recording signal from said fitted artifact model signal; and means for identifying said neural recording signal as including a neural response signal if said strength-of-response metric is above a pre-determined threshold; wherein said strength-of-response metric is determined by evaluating - View Dependent Claims (17, 18, 19, 20)
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Specification