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Extensive experiments have shown that parametric methods (AR spectrum) tend to produce better results than classical nonparametric methods (Welch's periodogram) when the data length of the signal is relatively short, as is the case with HRV data [20].
The AIC value is calculated using the following equation: 4 (1) AIC = n log (2 π ) + n log (σ 2 ) + n + 2 p, where n is the number of samples (data length of the time series), σ is the variance of errors between the given time series data and the time series calculated from the model by inverse DFT, and p is the number of parameters (pairs of Fourier coefficients) in the model.
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Take the data length of 256, the signal to noise ratio of 13 dB, assuming that the number of signals and their polarized parameters are known.
Take the data length of 256, and the SNR of 13 dB, assuming that the number of signals and their polarized parameters are known.
Taking the data length of 256, assuming the number of signals and their polarized parameters are known, the SNR increases from − 10 to 10 dB with an increase of 2 dB.
In conducting the FFT processing, we must consider the appropriate data length of one frame used in the FFT.
Therefore, to make a compromise between the classification accuracy and the delay time, the data length of 300 ms serves as a suitable choice.
The data length of each nonoverlapping window for ApEn calculation was 512 points, and the other ApEn parameters were and [12].
The change of classification results for 7 subjects showed the same trends that the classification accuracy was gradually enhanced as the data length of SEMG signals increased.
The quantile method cannot be used on datasets in which the data length of each time series is 7 or less.
The demographic data, length of time on dialysis, number of current medications, use of antacids and underlying etiology of ESRD were obtained from the renal unit medical records.
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