An adaptive optimal-kernel time-frequency representation
IEEE Transactions on Signal Processing
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Time frequency representations (TFR) have been assessed with respect to time and frequency resolution using a simulated and real heart rate variability data, HRV. The Wigner-Ville Distribution proved to have a difficult interpretation due to the presence of the cross-terms. Choi-Williams, CW, and Signal-dependent radially Gaussian kernel, SD, TFRs used different techniques for cross-terms suppression and had comparative results due to the auto-terms geometry around the center in the ambiguity domain, with a trade-off between cross-terms suppression and auto-terms smoothing. An elevated vagal and a reduced sympathetic activity in the clinostatic position, and a reduced vagal and elevated sympathetic activity in the orthostatic position, respectively, have been detected in HRV by CW and SD during the tilt-up test.