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Gui for electrophysiology data acquisition and visualization

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bci

This GUI was designed to provide a fast and flexible interface for processing, acquiring and visualizing data from extracellular electrodes.

Everything is written in Ptyhon, using PyQt and PyQtGraph for the ui.

Dependencies

  • Python 2.7
  • PyQt 4.8+
  • numpy
  • scipy >= 0.10
  • pyqtgraph >= 0.9.8
  • Beep (linux)

Example

Run Example/data_maker.sh for build the example data.

Instalation

with virtualenv

apt install virtualenv python-dev

virtualenv --always-copy bmi-venv source bmi-venv/bin/activate

pip install numpy pyqtgraph scipy

numpy=1.12.1 pyqtgraph=0.10.0 scipy=0.19.0

download from riverbankcomputing.com, pyqt4 y sip wget http://sourceforge.net/projects/pyqt/files/PyQt4/PyQt-4.12/PyQt4_gpl_x11-4.12.tar.gz wget https://sourceforge.net/projects/pyqt/files/sip/sip-4.19.2/sip-4.19.2.tar.gz

SIP: extract python configure.py make make install (whitout the '--always-copy' modifier requires sudo)

PyQt: python configure-ng.py make make install

Use source bmi-venv/bin/activate python main.py

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