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, comprisinga segment condition input section, into which the shortest segment length, the longest segment length, and the total number of obtained segments including the shortest segment, the longest segment and the segments with different lengths ranging from the shortest segment length to the longest segment length, or each time step between the shortest segment and the longest segment are inputted as input items,an analysis condition input section, into which the minimum lag value, the maximum lag value, and the intervals for setting the 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 of all the segments is analyzed on the basis of the segment conditions inputted in the segment condition input section and the analysis conditions inputted in the analysis condition input section, under all the analysis conditions by the maximum entropy method and the nonlinear least squares method, for selecting one appropriate segment and one appropriate analysis condition from all the analysis results and deriving the optimum segment length and the optimum lag value in correspondence to the selected results, 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 the analysis by the maximum entropy method.
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Abstract
The inventor had proposed to use the value of the overall trend of the spectrum of electroencephalogram data as an indicator of the state of the subject on the basis of the findings that the spectrum of electroencephalogram data is an exponential spectrum and that the gradient changes depending on the state of the subject, but the respective states of a subject could not be identified by referring to the value of the gradient only.
To solve the problem, proposed is a time series data analyzer comprising a segment condition input section, an analysis condition input section, an optimum condition deriving section for analyzing each of all segments on the basis of the segment conditions and analysis conditions inputted in the respective input sections, under all analysis conditions by the maximum entropy method and the nonlinear least squares method, for selecting one appropriate segment and one appropriate analysis condition from all the analysis results, and for deriving the optimum segment length and the optimum lag value in correspondence to the selected results, and an analysis execution section for executing analysis by the maximum entropy method by setting the optimum analysis conditions derived as described above.
76 Citations
20 Claims
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1. A time series data analyzer for analyzing the segments obtained from time series data, comprising
a segment condition input section, into which the shortest segment length, the longest segment length, and the total number of obtained segments including the shortest segment, the longest segment and the segments with different lengths ranging from the shortest segment length to the longest segment length, or each time step between the shortest segment and the longest segment are inputted as input items, an analysis condition input section, into which the minimum lag value, the maximum lag value, and the intervals for setting the 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 of all the segments is analyzed on the basis of the segment conditions inputted in the segment condition input section and the analysis conditions inputted in the analysis condition input section, under all the analysis conditions by the maximum entropy method and the nonlinear least squares method, for selecting one appropriate segment and one appropriate analysis condition from all the analysis results and deriving the optimum segment length and the optimum lag value in correspondence to the selected results, 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 the analysis by the maximum entropy method.
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11. A computer-readable recording medium recording a time series data analysis program, for analyzing the segments obtained from time series data, comprising
a step of inputting the shortest segment length, the longest segment length, and the total number of obtained segments including the shortest segment, the longest segment and the segments with different lengths ranging from the shortest segment length to the longest segment length, or each time step between the shortest segment and the longest segment, as input items, a step of inputting the minimum lag value, the maximum lag value, and the 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 all the segments on the basis of the inputted segment conditions and the inputted analysis conditions, under all the analysis conditions by the maximum entropy method and the nonlinear least squares method, for selecting one appropriate segment and one appropriate analysis condition from all the analysis results and deriving the analysis conditions consisting of the optimum segment length and the optimum lag value in correspondence to the selected results, and a step of setting the derived optimum analysis conditions as analysis conditions for executing the analysis by the maximum entropy method.
Specification