tfliang / ECG-Analysis

ECG signal analysis in Julia

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ECG Signal Analysis in Julia

Analysis of an ECG signal loaded from PhysioBank (using WFDB) or a CSV file:

  1. Baseline filtering by: Butterworth, moving average, Savitzky-Golay, LMS filter
  2. R peaks detection
  3. DFA analysis
  4. Waves detection: QRS, T, P (onset & end)
  5. HRV analysis
  6. Poincare plot

Project is developed in Julia language with plots in PyPlot and GUI in Gtk.jl.

Requirements: Julia, GTK+, Matplotlib, PyPlot, WFDB.

University: AGH University of Science in Kraków, Poland

Subject: Signal Processing in Medical Diagnostic Systems 2 (PSwSDM2)

Authors: Michał Chrzanowski, Łukasz Dziedzic, Jerzy Głowacki, Piotr Klimiec, Dariusz Kucharski, Michał Mach, Konrad Strojny, Paweł Tokarz, Konrad Zaworski

Year: 2015

Docs: Dokumentacja.pdf (in Polish)

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ECG signal analysis in Julia


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