Sleep evaluation device
First Claim
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1. A sleep evaluation system, comprising:
- a biometric signal unit for measuring a state of a human subject, and for outputting a biometric signal; and
a central processing unit coupled to the biometric signal unit, comprising;
a primary parameter computation unit for generating, based on the biometric signal, n number of primary parameters indicating a state of sleep, n being a natural number that is at least two;
a secondary parameter computation unit for generating m number of secondary parameters by multiplying each of the n number of primary parameters by an eigenvector computed based on a correlation matrix, with the eigenvector being a first coefficient, and totalizing results of the multiplications, m being a natural number satisfying n >
m and a correlation coefficient of any two of the secondary parameters being smaller than a correlation coefficient of any two of the primary parameters; and
an evaluation unit for computing a sleep index indicating a quality of sleep based on a result of computation obtained by multiplying each of the secondary parameters by a second coefficient and totalizing results of the multiplications.
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Abstract
A sleep evaluation device 1 is provided with a respiration detection unit 7 that detects changes in respiration and outputs respiration signals. CPU 6 generates six primary parameters indicating sleep states based on the respiration signals and four secondary parameters based on the primary parameters. The secondary parameters are linearly independent of one another. Evaluation unit 20 computes a sleep score indicating the degree of the quality of sleep by multiplying each of the four secondary parameters by second coefficients and totalizing results of the multiplications. Results of the evaluations are displayed on display unit 4.
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Citations
13 Claims
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1. A sleep evaluation system, comprising:
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a biometric signal unit for measuring a state of a human subject, and for outputting a biometric signal; and a central processing unit coupled to the biometric signal unit, comprising; a primary parameter computation unit for generating, based on the biometric signal, n number of primary parameters indicating a state of sleep, n being a natural number that is at least two; a secondary parameter computation unit for generating m number of secondary parameters by multiplying each of the n number of primary parameters by an eigenvector computed based on a correlation matrix, with the eigenvector being a first coefficient, and totalizing results of the multiplications, m being a natural number satisfying n >
m and a correlation coefficient of any two of the secondary parameters being smaller than a correlation coefficient of any two of the primary parameters; andan evaluation unit for computing a sleep index indicating a quality of sleep based on a result of computation obtained by multiplying each of the secondary parameters by a second coefficient and totalizing results of the multiplications. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A sleep evaluation system, comprising:
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a biometric signal unit for measuring a state of a human subject, and for outputting a biometric signal; and a central processing unit coupled to the biometric signal unit, comprising; a primary parameter computation unit for generating, based on the biometric signal, n number of primary parameters indicating a state of sleep, n being a natural number that is at least two; a secondary parameter computation unit for generating m number of secondary parameters by multiplying each of the n number of primary parameters by an eigenvector computed based on a correlation matrix, with the eigenvector being a first coefficient, and totalizing results of the multiplications, m being a natural number satisfying n≧
m and a correlation coefficient of any two of the secondary parameters being smaller than a correlation coefficient of any two of the primary parameters; andan evaluation unit for computing a sleep index indicating a quality of sleep based on a result of computation obtained by multiplying each of the secondary parameters by a second coefficient and totalizing results of the multiplications, wherein the primary parameter computation unit comprises a program code portion for generating, as the n number of primary parameters, sleep latency, mid-arousal number, deep sleep latency, deep sleep time, and movement number, and wherein the secondary parameter computation unit comprises a program code portion for selecting, as the m number of secondary parameters, four secondary parameters. - View Dependent Claims (12)
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13. A sleep evaluation system, comprising:
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a biometric signal unit for measuring a state of a human subject, and for outputting a biometric signal; a central processing unit coupled to the biometric signal unit, and an inputter for receiving an input of characteristics data of the human subject being examined, the central processing unit comprising; a primary parameter computation unit for generating, based on the biometric signal, n number of primary parameters indicating a state of sleep, n being a natural number that is at least two; a secondary parameter computation unit for generating m number of secondary parameters by multiplying each of the n number of primary parameters by an eigenvector computed based on a correlation matrix, with the eigenvector being a first coefficient, and totalizing results of the multiplications, m being a natural number satisfying n≧
m and a correlation coefficient of any two of the secondary parameters being smaller than a correlation coefficient of any two of the primary parameters; andan evaluation unit for computing a sleep index indicating a quality of sleep based on a result of computation obtained by multiplying each of the secondary parameters by a second coefficient and totalizing results of the multiplications, wherein the primary parameter computation unit stores a plurality of the first coefficients each corresponding to each of plural groups of populations categorized in accordance with the characteristics of human subjects and computes the primary parameters using the first coefficients corresponding to the characteristics received by the inputter, and wherein the secondary parameter computation unit stores a plurality of the second coefficients each corresponding to each of plural groups of populations categorized in accordance with the characteristics of human subjects and computes the secondary parameters using the second coefficients corresponding to the characteristics received by the inputter.
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Specification