System and method for determining and training a peak performance state
First Claim
1. A system for determining a peak performance cognitive state of a test subject by coherency of input signals therefrom comprising:
- a plurality of sensors, said sensors configured to receive a separate input signal from said test subject during performance of an activity, at least one of said sensors configured to receive cognitive input,a processor, said sensors communicating with said processor,a memory, said memory connected to said processor,an algorithm, said algorithm stored in said memory, andbaseline data derived from said test subject during a prior successful completion of the activity and before a comparison with the input signals, said baseline data stored in said memory,whereby said input signals delivered from said sensors to said processor are analyzed by said algorithm as a function of a nonlinear relationship for determining coherency thereof and comparison to said baseline data for predictive determination of the peak performance cognitive state of said test subject before a repeated performance of the activity.
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Abstract
A system and method for determining a peak performance state by coherency of input signals from a test subject. The system includes two sensors for receiving separate input signals from a test subject. The system also includes a processor that is in communication with the sensors. The system further includes a memory that stores baseline data and is connected to the processor. The method includes the steps of receiving input signals from two sensors, communicating the input signals to a processor, analyzing the input signals with the processor as a function of a nonlinear relationship to determine coherency, and comparing the coherency data to baseline data stored in the memory to determine the presence of a peak performance state.
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Citations
19 Claims
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1. A system for determining a peak performance cognitive state of a test subject by coherency of input signals therefrom comprising:
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a plurality of sensors, said sensors configured to receive a separate input signal from said test subject during performance of an activity, at least one of said sensors configured to receive cognitive input, a processor, said sensors communicating with said processor, a memory, said memory connected to said processor, an algorithm, said algorithm stored in said memory, and baseline data derived from said test subject during a prior successful completion of the activity and before a comparison with the input signals, said baseline data stored in said memory, whereby said input signals delivered from said sensors to said processor are analyzed by said algorithm as a function of a nonlinear relationship for determining coherency thereof and comparison to said baseline data for predictive determination of the peak performance cognitive state of said test subject before a repeated performance of the activity. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A method for determining a peak performance cognitive state of a test subject by coherency of input signals therefrom during performance of an activity comprising the steps of:
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receiving separate input signals by a plurality of sensors, at least one of said sensors configured to receive cognitive input; communicating the input signals from the sensors to a processor; analyzing the input signals by the processor with an algorithm as a function of a nonlinear relationship for determining coherency thereof; and comparing the coherency to baseline data derived from the test subject during a prior successful completion of the activity and before a comparison with the input signals and stored in a memory connected to the processor to predictively determine the presence of a peak performance cognitive state in the test subject before a repeated performance of the activity. - View Dependent Claims (8, 9, 10, 11, 12, 13, 14)
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15. A method for determining a peak performance cognitive state of a test subject by coherency of input signals therefrom comprising the steps of:
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providing an apparatus having; a plurality of sensors, said sensors each for receiving a separate input signal from said test subject during performance of an activity, at least one of said sensors configured to receive cognitive input, a processor, said sensors communicating with said processor, a memory, said memory connected to said processor, an algorithm comprising a manifold learning algorithm and a support vector machine algorithm, said algorithm stored in said memory, baseline data, said baseline data derived solely from the test subject during a prior successful completion of the activity and before a comparison with the input signals and stored in said memory; receiving separate input signals by the two sensors; communicating the input signals to the processor; analyzing the input signals by the processor with the algorithm as a function of a nonlinear relationship for determining predictive coherency thereof; and comparing coherency data to baseline data stored in the memory connected to the processor to determine the presence of a peak performance cognitive state in a test subject before a repeated performance of the activity. - View Dependent Claims (16, 17, 18, 19)
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Specification