Sleep state estimation device and program product for providing a computer with a sleep state estimation function
First Claim
1. A sleep state estimation device for estimating a sleep state from a range of sleep states extending from wakefulness to deep sleep, comprising:
- vital signs information processing means for extracting respiratory signals from output signals of a vital signs information sensor; and
sleep state estimating means for estimating the sleep state based on the respiratory signals outputted by the vital signs information processing means;
wherein the sleep state estimating means includes;
peak calculating means for calculating respiratory signal peak values in a given period from the respiratory signals outputted by the vital signs information processing means; and
peak interval calculating means for calculating respiratory signal peak intervals in the given period from the respiratory signals, andwherein the sleep state estimating means estimates the sleep state based on the peak values and from the peak intervals.
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Abstract
An object of the present invention is to provide a sleep state estimation device capable of estimating a sleep state (deep sleep, light sleep) in real time with relative simplicity. Voltage variations resulting from human respiratory movement are measured for each given period to calculate from the measurement results positive voltage peak values and time intervals between adjacent peaks. The obtained peak values and peak intervals are used to calculate a mean peak interval value A, a coefficient of variation B based on dispersion of the peak intervals, and a coefficient of variation C based on the peak values. The sleep state in this period is estimated from the calculation results. More specifically, referring to FIG. 5, the sleep state is estimated as a “wakeful state” or a “hypnagogic state” by checking whether the mean value A is larger or smaller than a threshold a and whether the coefficient of variation C is larger or smaller than a threshold c (S105) whereas the sleep state is estimated as the “hypnagogic state”, “light sleep” or “deep sleep” by checking whether the coefficient of variation B is larger or smaller than a threshold b and whether the coefficient of variation C is larger or smaller than the threshold c (S109, S113, S116, S117).
58 Citations
12 Claims
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1. A sleep state estimation device for estimating a sleep state from a range of sleep states extending from wakefulness to deep sleep, comprising:
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vital signs information processing means for extracting respiratory signals from output signals of a vital signs information sensor; and sleep state estimating means for estimating the sleep state based on the respiratory signals outputted by the vital signs information processing means;
wherein the sleep state estimating means includes;peak calculating means for calculating respiratory signal peak values in a given period from the respiratory signals outputted by the vital signs information processing means; and peak interval calculating means for calculating respiratory signal peak intervals in the given period from the respiratory signals, and wherein the sleep state estimating means estimates the sleep state based on the peak values and from the peak intervals. - View Dependent Claims (5, 6)
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2. A sleep state estimation device for estimating a sleep state, comprising:
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vital signs information processing means for extracting respiratory signals from output signals of a vital signs information sensor; and sleep state estimating means for estimating the sleep state based on the respiratory signals outputted by the vital signs information processing means; wherein the sleep state estimating means includes; peak calculating means for calculating respiratory signal peak values in a given period from the respiratory signals outputted by the vital signs information processing means; and peak interval calculating means for calculating respiratory signal peak intervals in the given period from the respiratory signals, and wherein the sleep state estimating means estimates the sleep state based on the peak values and from the peak intervals wherein the sleep state estimating means further includes; first coefficient of variation calculating means for calculating, from the peak intervals obtained by the peak interval calculating means, a first coefficient of variation which is based on dispersion of the peak intervals; and second coefficient of variation calculating means for calculating, from the peak values obtained by the peak calculating means, a second coefficient of variation which is based on dispersion of the peak values, and wherein the sleep state estimating means estimates the sleep state by comparing the first coefficient of variation and the second coefficient of variation against given thresholds.
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3. A sleep state estimation device for estimating a sleep state, comprising:
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vital signs information processing means for extracting respiratory signals from output signals of a vital signs information sensor; and sleep state estimating means for estimating the sleep state based on the respiratory signals outputted by the vital signs information processing means; wherein the sleep state estimating means includes; peak calculating means for calculating respiratory signal peak values in a given period from the respiratory signals outputted by the vital signs information processing means; and peak interval calculating means for calculating respiratory signal peak intervals in the given period from the respiratory signals, and wherein the sleep state estimating means estimates the sleep state based on the peak values and from the peak intervals wherein the sleep state estimating means further includes; mean peak interval calculating means for calculating, from the peak intervals obtained by the peak interval calculating means, a mean value of the peak intervals; and a coefficient of variation calculating means for calculating, from the peak values obtained by the peak calculating means, a coefficient of variation which is based on dispersion of the peak values, and wherein the sleep state estimating means estimates the sleep state by comparing the mean peak interval value and the coefficient of variation against given thresholds.
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4. A sleep state estimation device for estimating a sleep state, comprising:
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vital signs information processing means for extracting respiratory signals from output signals of a vital signs information sensor; and sleep state estimating means for estimating the sleep state based on the respiratory signals outputted by the vital signs information processing means; wherein the sleep state estimating means includes; peak calculating means for calculating respiratory signal peak values in a given period from the respiratory signals outputted by the vital signs information processing means; and peak interval calculating means for calculating respiratory signal peak intervals in the given period from the respiratory signals, and wherein the sleep state estimating means estimates the sleep state based on the peak values and from the peak intervals wherein the sleep state estimating means further includes; first coefficient of variation calculating means for calculating, from the peak intervals obtained by the peak interval calculating means, a first coefficient of variation which is based on dispersion of the peak intervals; second coefficient of variation calculating means for calculating, from the peak values obtained by the peak calculating means, a second coefficient of variation which is based on dispersion of the peak values; and mean peak interval calculating means for calculating, from the peak intervals obtained by the peak interval calculating means, the mean value of the peak intervals, and wherein the sleep state estimating means estimates the sleep state by comparing the first coefficient of variation and the second coefficient of variation against given thresholds, and by comparing the mean peak interval value and the second coefficient of variation against given thresholds.
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7. A method for estimating a sleep state of an individual from a range of sleep state extending from wakefulness to deep sleep, the method comprising the steps of:
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a vital signs information processing step of extracting respiratory signals from output signals of a vital signs information sensor; and a sleep state estimating step of estimating a sleep state based on the respiratory signals extracted in the vital signs information processing step;
wherein the sleep state estimating step includes;a peak calculating step of calculating respiratory signal peak values in a given period from the respiratory signals extracted in the vital signs information processing step; and a peak interval calculating step of calculating respiratory signal peak intervals in the given period from the respiratory signals, and wherein the sleep state is estimated based on the peak values and the peak intervals in the sleep state estimating step.
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8. A method for estimating a sleep state comprising the steps of:
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a vital signs information processing step of extracting respiratory signals from output signals of a vital signs information sensor; and a sleep state estimating step of estimating a sleep state based on the respiratory signals extracted in the vital signs information processing step; wherein the sleep state estimating step includes; a peak calculating step of calculating respiratory signal peak values in a given period from the respiratory signals extracted in the vital signs information processing step; and a peak interval calculating step of calculating respiratory signal peak intervals in the given period from the respiratory signals, and wherein the sleep state is estimated based on the peak values and the peak intervals in the sleep state estimating step wherein the sleep state estimating step further includes; a first coefficient of variation calculating step of calculating, from the peak intervals obtained in the peak interval calculating step, a first coefficient of variation which is based on dispersion of the peak intervals; and a second coefficient of variation calculating step of calculating, from the peak values obtained in the peak calculating step, a second coefficient of variation which is based on dispersion of the peak values, and wherein the sleep state is estimated by comparing the first coefficient of variation and the second coefficient of variation against given thresholds in the sleep state estimating step.
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9. A method for estimating a sleep state comprising the steps of:
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a vital signs information processing step of extracting respiratory signals from output signals of a vital signs information sensor; and a sleep state estimating step of estimating a sleep state based on the respiratory signals extracted in the vital signs information processing step; wherein the sleep state estimating step includes; a peak calculating step of calculating respiratory signal peak values in a given period from the respiratory signals extracted in the vital signs information processing step; and a peak interval calculating step of calculating respiratory signal peak intervals in the given period from the respiratory signals, and wherein the sleep state is estimated based on the peak values and the peak intervals in the sleep state estimating step wherein the sleep state estimating step further includes; a mean peak interval calculating step of calculating, from the peak intervals obtained in the peak interval calculating step, a mean value of the peak intervals; and a coefficient of variation calculating step of calculating, from the peak values obtained in the peak calculating step, a coefficient of variation which is based on dispersion of the peak values, and wherein the sleep state is estimated by comparing the mean peak interval value and the coefficient of variation against given thresholds in the sleep state estimating step.
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10. A method for estimating a sleep state comprising the steps of:
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a vital signs information processing step of extracting respiratory signals from output signals of a vital signs information sensor; and a sleep state estimating step of estimating a sleep state based on the respiratory signals extracted in the vital signs information processing step; wherein the sleep state estimating step includes; a peak calculating step of calculating respiratory signal peak values in a given period from the respiratory signals extracted in the vital signs information processing step; and a peak interval calculating step of calculating respiratory signal peak intervals in the given period from the respiratory signals, and wherein the sleep state is estimated based on the peak values and the peak intervals in the sleep state estimating step wherein the sleep state estimating step further includes; a first coefficient of variation calculating step of calculating, from the peak intervals obtained in the peak interval calculating step, a first coefficient of variation which is based on dispersion of the peak intervals; a second coefficient of variation calculating step of calculating, from the peak values obtained in the peak calculating step, a second coefficient of variation which is based on dispersion of the peak values; and a mean peak interval calculating step of calculating, from the peak intervals obtained in the peak interval calculating step, the mean value of the peak intervals, and wherein the sleep state is estimated by comparing the first coefficient of variation and the second coefficient of variation against given thresholds and by comparing the mean peak interval value and the second coefficient of variation against given thresholds in the sleep state estimating step. - View Dependent Claims (11, 12)
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Specification