NeuroKit2: A Python toolbox for neurophysiological signal processing
Number of pages
SourceBehavior Research Methods, (2021)
2 februari 2021
Article / Letter to editor
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PI Group Affective Neuroscience
SW OZ BSI KLP
Behavior Research Methods
Subject230 Affective Neuroscience; Experimental Psychopathology and Treatment
NeuroKit2 is an open-source, community-driven, and user-centered Python package for neurophysiological signal processing. It provides a comprehensive suite of processing routines for a variety of bodily signals (e.g., ECG, PPG, EDA, EMG, RSP). These processing routines include high-level functions that enable data processing in a few lines of code using validated pipelines, which we illustrate in two examples covering the most typical scenarios, such as an event-related paradigm and an interval-related analysis. The package also includes tools for specific processing steps such as rate extraction and filtering methods, offering a trade-off between high-level convenience and fine-tuned control. Its goal is to improve transparency and reproducibility in neurophysiological research, as well as foster exploration and innovation. Its design philosophy is centred on user-experience and accessibility to both novice and advanced users.
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