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On Using Python to Run, Analyze, and Decode EEG Experiments

In: Information Systems and Neuroscience

Author

Listed:
  • Colin Conrad

    (Dalhousie University)

  • Om Agarwal

    (Dalhousie University)

  • Carlos Calix Woc

    (Dalhousie University)

  • Tazmin Chiles

    (Dalhousie University)

  • Daniel Godfrey

    (Dalhousie University)

  • Kavita Krueger

    (Dalhousie University)

  • Valentina Marini

    (Dalhousie University)

  • Alexander Sproul

    (Dalhousie University)

  • Aaron Newman

    (Dalhousie University)

Abstract

As the NeuroIS field expands its scope to address more complex research questions with electroencephalography (EEG), there is greater need for EEG analysis capabilities that are relatively easy to implement and adapt to different protocols, while at the same time providing an open and standardized approach. We present a series of open source tools, based on the Python programming language, which are designed to facilitate the development of open and collaborative EEG research. As supplementary material, we demonstrate the implementation of these tools in a NeuroIS case study and provide files that can be adapted by others for NeuroIS EEG research.

Suggested Citation

  • Colin Conrad & Om Agarwal & Carlos Calix Woc & Tazmin Chiles & Daniel Godfrey & Kavita Krueger & Valentina Marini & Alexander Sproul & Aaron Newman, 2020. "On Using Python to Run, Analyze, and Decode EEG Experiments," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane Randolph & Thomas Fis (ed.), Information Systems and Neuroscience, pages 287-293, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-28144-1_32
    DOI: 10.1007/978-3-030-28144-1_32
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