Multi-parametric quantitative analysis of bioelectrical signals
First Claim
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1. A method for determining a condition of a subject, comprising:
- obtaining a signal, the signal including a plurality of determinable parameters;
determining, by a computer, at least two of the plurality of determinable parameters from the signal to yield determined parameters; and
applying a weighting factor, by a computer, to each of the determined parameters to yield weighted parameters, and combining the weighted parameters, by a computer, to determine a numeric value relating to the condition of the subject;
wherein the condition of the subject is a neurological condition, wherein the neurological condition comprises a neuronal injury, and wherein the neuronal injury occurs after cardiac arrest.
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Abstract
Certain embodiments relate to a method for determining a condition of a subject, including obtaining a signal, the signal including a plurality of determinable parameters. The method also includes determining at least two of the plurality of determinable parameters from the signal, to yield determined parameters. The method also includes applying a weighting factor to each of the determined parameters to yield weighted parameters, and combining the weighted parameters to determine a numeric value relating to the condition of the subject. Other embodiments are described and claimed.
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Citations
35 Claims
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1. A method for determining a condition of a subject, comprising:
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obtaining a signal, the signal including a plurality of determinable parameters; determining, by a computer, at least two of the plurality of determinable parameters from the signal to yield determined parameters; and applying a weighting factor, by a computer, to each of the determined parameters to yield weighted parameters, and combining the weighted parameters, by a computer, to determine a numeric value relating to the condition of the subject; wherein the condition of the subject is a neurological condition, wherein the neurological condition comprises a neuronal injury, and wherein the neuronal injury occurs after cardiac arrest. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A method for determining a condition of a subject, comprising:
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obtaining a signal, the signal including a plurality of determinable parameters; determining, by a computer, at least two of the plurality of determinable parameters from the signal to yield determined parameters; and applying a weighting factor, by a computer, to each of the determined parameters to yield weighted parameters, and combining the weighted parameters, by a computer, to determine a numeric value relating to the condition of the subject; wherein the condition of the subject is a neurological condition; wherein the neurological condition comprises a neuronal injury caused by antenatal hypoxia of a fetus, and wherein the antenatal hypoxia occurs during labor.
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18. A method for determining a condition of a subject, comprising:
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obtaining a signal, the signal including a plurality of determinable parameters; determining, by a computer, at least two of the plurality of determinable parameters from the signal to yield determined parameters; and applying a weighting factor, by a computer, to each of the determined parameters to yield weighted parameters, and combining the weighted parameters, by a computer, to determine a numeric value relating to the condition of the subject; wherein the signal comprises an EEG signal, and the EEG signal includes information relating to a seizure.
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19. A method for determining a condition of a subject, comprising:
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obtaining a signal, the signal including a plurality of determinable parameters; determining, by a computer, at least two of the plurality of determinable parameters from the signal to yield determined parameters; and applying a weighting factor, by a computer, to each of the determined parameters to yield weighted parameters, and combining the weighted parameters, by a computer, to determine a numeric value relating to the condition of the subject; wherein the signal comprises an evoked potential (EP) signal, and the plurality of determinable parameters includes a plurality of parameters selected from the group consisting of amplitude, latency, central conduction time, correlation of amplitude and latency, frequency, power, and entropy. - View Dependent Claims (20, 25, 26, 27)
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21. A method for determining a condition of a subject, comprising:
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obtaining a signal, the signal including a plurality of determinable parameters; determining, by a computer, at least two of the plurality of determinable parameters from the signal to yield determined parameters; and applying a weighting factor, by a computer, to each of the determined parameters to yield weighted parameters, and combining the weighted parameters, by a computer, to determine a numeric value relating to the condition of the subject; wherein the signal comprises an EEG signal, and the EEG signal includes information relating to neuronal injury. - View Dependent Claims (22, 23, 24)
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28. A method for determining a condition of a subject, comprising:
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obtaining a signal including a plurality of determinable parameters; determining at least two of the plurality of determinable parameters to yield determined parameters; applying an algorithm, by a computer, that assigns a weighting factor to each of the determined parameters to yield weighted parameters, and combining the weighted parameters, by a computer, to yield a numeric value relating to the condition of the subject; and training the algorithm by inputting a plurality of sample signals, each sample signal having a corresponding predetermined value, wherein the algorithm, by a computer, adjusts the weighting factors so that the combining the weighted parameters for each sample signal yields the corresponding predetermined value. - View Dependent Claims (29, 30, 31, 32, 33, 34, 35)
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Specification