Time series data analyzer, and a computer-readable recording medium recording a time series data analysis program
First Claim
1. A time series data analyzer for analyzing the segments obtained from time series data, comprising:
- a non-transitory memory device storing a program; and
a processor that executes the program, which causes the time series data analyzer to operate as;
a segment condition input section, into which a shortest segment length, a longest segment length and a total number of obtained segments including the shortest segment, the longest segment and other segments are input as input items, the other segments being segments with different lengths ranging from the shortest segment length to the longest segment length or located at each time step between the shortest segment and the longest segment,an analysis condition input section, into which a minimum lag value, a maximum lag value, and intervals for setting a series of lag values between the minimum lag value and the maximum lag value are inputted as input items,an optimum analysis condition deriving section, in which each segment is analyzed based on segment conditions inputted in the segment condition input section and analysis conditions inputted in the analysis condition input section from all analysis conditions using a maximum entropy method and a nonlinear least squares method, for selecting one appropriate segment and one appropriate analysis condition from all analysis results as a selected result and deriving an optimum segment length and an optimum lag value as optimum analysis conditions in correspondence to the selected result, andan analysis execution section, in which the optimum analysis conditions derived by the optimum analysis condition deriving section are set as analysis conditions, for executing an analysis by the maximum entropy method.
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Abstract
A time series data analyzer includes a segment condition input section, an analysis condition input section, and an optimum condition deriving section for analyzing all segments based on the segment conditions and analysis conditions inputted in the respective input sections, under all analysis conditions by a maximum entropy method and a nonlinear least squares method. The time series data analyzer derives the optimum segment length and the optimum lag value in correspondence to selected results, and an analysis execution section executes analysis by the maximum entropy method by setting the optimum analysis conditions derived as described above. The trending of the spectrum of electroencephalogram data is used as an indicator of the state of the subject based on the findings that the spectrum of electroencephalogram data is an exponential spectrum and the gradient changes depending on the state of the subject.
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Citations
20 Claims
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1. A time series data analyzer for analyzing the segments obtained from time series data, comprising:
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a non-transitory memory device storing a program; and a processor that executes the program, which causes the time series data analyzer to operate as; a segment condition input section, into which a shortest segment length, a longest segment length and a total number of obtained segments including the shortest segment, the longest segment and other segments are input as input items, the other segments being segments with different lengths ranging from the shortest segment length to the longest segment length or located at each time step between the shortest segment and the longest segment, an analysis condition input section, into which a minimum lag value, a maximum lag value, and intervals for setting a series of lag values between the minimum lag value and the maximum lag value are inputted as input items, an optimum analysis condition deriving section, in which each segment is analyzed based on segment conditions inputted in the segment condition input section and analysis conditions inputted in the analysis condition input section from all analysis conditions using a maximum entropy method and a nonlinear least squares method, for selecting one appropriate segment and one appropriate analysis condition from all analysis results as a selected result and deriving an optimum segment length and an optimum lag value as optimum analysis conditions in correspondence to the selected result, and an analysis execution section, in which the optimum analysis conditions derived by the optimum analysis condition deriving section are set as analysis conditions, for executing an analysis by the maximum entropy method. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A non-transitory computer-readable recording medium recording a time series data analysis program, for analyzing the segments obtained from time series data, the time series data analysis program causing a computer to perform steps comprising:
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a step of inputting a shortest segment length, a longest segment length, and a total number of obtained segments including the shortest segment, the longest segment and other segments as input items, the other segments having different lengths ranging from the shortest segment length to the longest segment length or located at each time step between the shortest segment and the longest segment; a step of inputting a minimum lag value, a maximum lag value, and intervals for setting the series of lag values between the minimum lag value and the maximum lag value, as input items; a step of analyzing each of the segments based on inputted segment conditions and inputted analysis conditions from all analysis conditions using a maximum entropy method and a nonlinear least squares method, for selecting one appropriate segment and one appropriate analysis condition from all analysis results as a selected result and deriving optimum analysis conditions consisting of an optimum segment length and an optimum lag value in correspondence to the selected result; and a step of setting the derived optimum analysis conditions as analysis conditions for executing the analysis by the maximum entropy method. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification