Time Invariant Multichannel Averaging for ECG Signals

نویسندگان

  • Ramon MARTÍNEZ
  • Dana H. BROOKS
  • Burak EREM
چکیده

One of the biggest challenges in averaging ECG or EEG signals is to overcome temporal misalignments and distortions, due to uncertain timing or complex non-stationary dynamics. Standard methods average individual leads over an collection of epochs on a time-sample by timesample basis, even when multi-electrode signals are available. Here we propose a method that averages multi electrode recordings simultaneously by using spatial patterns and without relying on time or frequency. Time Invariant Multi Electrode Averaging for Biomedical Signals MSc Thesis

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تاریخ انتشار 2013