Quantitative method for assessment of excessive daytime sleepiness
First Claim
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1. A method of analyzing a subject for excessive daytime sleepiness over a test time period comprising the steps of:
- a) using at least one sensor to measure a subject'"'"'s brain wave signals over a measurement time period, the measurement time period comprising a number of time segments;
b) analyzing with a processor the subject'"'"'s brain wave signals to estimate or determine a number from the power spectrum of the brain wave signals in the from about 0 to about 30 Hz range or a power spectrum profile from the signal components from the brain wave signals in the from about 0 to about 30 Hz range for each time segment; and
c) making a determination of the degree of excessive daytime sleepiness based in part on the number or the power spectrum profile for the time segments over the measurement time periodwherein the measurement time period begins at least about 2 minutes after the test time period begins and wherein the test time period is less than about 60 minutes.
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Abstract
The present invention relates to a method of analyzing a subject for excessive daytime sleepiness, and more particularly to a quick (short duration), quantitative method of sleep disorder analysis. The present invention additionally relates to a method that can be used to quantitatively measure the treatment endpoints for the subject, i.e., appropriate levels of stimulants. Additionally, the present invention relates to a device for sleep disorder analysis.
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Citations
20 Claims
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1. A method of analyzing a subject for excessive daytime sleepiness over a test time period comprising the steps of:
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a) using at least one sensor to measure a subject'"'"'s brain wave signals over a measurement time period, the measurement time period comprising a number of time segments; b) analyzing with a processor the subject'"'"'s brain wave signals to estimate or determine a number from the power spectrum of the brain wave signals in the from about 0 to about 30 Hz range or a power spectrum profile from the signal components from the brain wave signals in the from about 0 to about 30 Hz range for each time segment; and c) making a determination of the degree of excessive daytime sleepiness based in part on the number or the power spectrum profile for the time segments over the measurement time period wherein the measurement time period begins at least about 2 minutes after the test time period begins and wherein the test time period is less than about 60 minutes. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method of analyzing a subject for excessive daytime sleepiness over a test time period comprising the steps of:
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a) measuring a subject'"'"'s brain wave signals over a measurement time period, the measurement time period comprising a number of time segments; b) analyzing the subject'"'"'s brain wave signals with a processor to estimate or determine a number from the power spectrum of the brain wave signals in the from about 0 to about 30 Hz range or a power spectrum profile from the signal components from the brain wave signals in the from about 0 to about 30 Hz range for each time segment; and c) making a determination of the degree of excessive daytime sleepiness based in part on the number or the power spectrum profile for the time segments over the measurement time period. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A method of analyzing a subject for excessive daytime sleepiness over a test time period comprising the steps of:
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a) providing a stimulus to a subject to which the subject is instructed to respond; b) measuring the subject'"'"'s electroencephalogram (EEG) over a measurement time period, the measurement time period comprising a number of time segments, the measurement time period only beginning after the subject'"'"'s measured EEG evolves into a consistent pattern; c) analyzing the subject'"'"'s EEG with a processor to estimate or determine a number from the power spectrum of the brain wave signals in the from about 0 to about 30 Hz range or a power spectrum profile from the signal components from the EEG in the from about 0 to about 30 Hz range for each time segment; and d) making a determination of the degree of excessive daytime sleepiness based in part on the number or the power spectrum profile for the time segments over the measurement time period and based in part on the subject'"'"'s responses to the stimulus. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification