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- W2155369600 abstract "An attempt is made to obtain an autoregressive (AR) model coefficient for heart rate variability (HRV) and then to classify the symptom groups of the coefficient. As a result of analyzing 104 sets of clinical data, the following conclusions are drawn. (1) HRV obtained from clinical data can be considered time-series data. (2) The optimal condition for classification is to assume that the coefficient is at 110 R-R intervals with 11th order. This fixed order shows a tendency to approach the largest one among the representative optimal orders of each symptom. >" @default.
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- W2155369600 date "2003-01-13" @default.
- W2155369600 modified "2023-09-27" @default.
- W2155369600 title "Discriminant analysis of HRV's autoregressive model coefficient for cardiac arrhythmia" @default.
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- W2155369600 doi "https://doi.org/10.1109/iembs.1989.95564" @default.
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