作者: Giorgia Fiori , Andrea Scorza , Silvia Conforto , Fabio Fuiano , Maurizio Schmid
DOI: 10.1109/MEMEA49120.2020.9137260
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摘要: In biomedical field, Equivalent Time sampling (ETS) techniques have never been applied to electrophysiological signal processing. ETS allow sample periodic and/or pseudo-periodic signals with a frequency much lower than the Nyquist limit and therefore it may be assess parameters of interest in clinical field. present work, algorithm has used post-processing phase firstly reconstruct different sine waveforms generated through an in-house mathematical software simulating physiological conditions secondly real ECG recording. The uncertainty method for all reconstructions carried on estimated by means Monte Carlo Simulation (MCS). results show that reconstruction implemented is robust enough despite influence heart rate amplitude variability.