Single trial detection in encephalography
First Claim
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1. A method for interpreting brain activity comprising the steps of:
- attaching a high-density array of brain activity sensors to a subject;
prompting said subject with an external stimulus;
generating a response signal from each of said sensors at a predetermined point in time with reference to the occurrence of said prompting;
computing a respective spatial weighting coefficient corresponding to each of said sensors by applying a linear classifier to said predetermined number of response signals;
weighting each response signal in accordance with its corresponding weighting coefficient; and
linearly integrating the weighted response signals whereby a single output signal is generated, said output signal having a relatively high correlation to the brain activity of said subject in response to said external stimulus.
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Abstract
An EEG cap (8) having 64 or 128 electrodes (10) is placed on the head of the subject (11) who is viewing CRT monitor (14). The signals on each channel are amplified by amplifier (17) and sent to an analog-to-digital converter (20). PC (23) captures and records the amplified signals and the signals are processed by signal processing PC (26) performing linear signal processing. The resulting signal is sent back to a feedback/display PC (29) having monitor (14).
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Citations
19 Claims
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1. A method for interpreting brain activity comprising the steps of:
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attaching a high-density array of brain activity sensors to a subject; prompting said subject with an external stimulus; generating a response signal from each of said sensors at a predetermined point in time with reference to the occurrence of said prompting; computing a respective spatial weighting coefficient corresponding to each of said sensors by applying a linear classifier to said predetermined number of response signals; weighting each response signal in accordance with its corresponding weighting coefficient; and linearly integrating the weighted response signals whereby a single output signal is generated, said output signal having a relatively high correlation to the brain activity of said subject in response to said external stimulus. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method for interpreting brain activity comprising the steps of:
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(a) measuring brain activity of a subject with a plurality of sensors sampled in time; (b) determining the timing of an observable external event; (c) selecting a predetermined number of sets of samples based on their timing relative to said observable external event; and (d) computing for each set of samples a linear response of the plurality of sensed brain activity by multiplying each value of said plurality of sensors by a respective weighting coefficient and summing the results, wherein said weighting coefficients are chosen such that said linear response differentiates between different sets of samples. - View Dependent Claims (9, 10, 11, 12)
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13. A system for interpreting brain activity comprising:
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a high-density array of brain activity sensors for application to the head of a subject; and a computer for receiving signals from said sensors, said computer programmed to; compute a respective spatial weighting coefficient corresponding to each of said sensors by applying a linear classifier to signals generated by said sensors in response to an external stimulus, weight each of said signals in accordance with its corresponding weighting coefficient, and linearly integrate the weighted response signals, whereby a single output signal is generated, said output signal having a relatively high correlation to the brain activity of said subject in response to said external stimulus. - View Dependent Claims (14, 15, 16, 17, 18, 19)
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Specification