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The ARX (autoregressive with exogenous input) parametric stochastic model is shown to be a powerful method for the single-sweep processing of evoked potentials. The reference signal used to identify the model is supplied by the partial average of a few consecutive responses, ending with the analyzed response. Comparison is made with a difference reference signal in terms of computation time and correctness...
An automatic procedure is presented for processing heart rate variability (HRV, taken from the ECG) and respiration of diabetic subjects with or without neuropathy. Spectral analysis is carried out using autospectra, cross-spectra, and coherence parametric methods (based on autoregressive modeling). Spectral parameters, and in particular the power associated with low-frequency and high-frequency bands,...
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