NeuroKit2: A Python toolbox for neurophysiological signal processing.

Autor: Makowski D; School of Social Sciences, Nanyang Technological University, HSS 04-19, 48 Nanyang Avenue, Singapore, Singapore. dmakowski@ntu.edu.sg., Pham T; School of Social Sciences, Nanyang Technological University, HSS 04-19, 48 Nanyang Avenue, Singapore, Singapore., Lau ZJ; School of Social Sciences, Nanyang Technological University, HSS 04-19, 48 Nanyang Avenue, Singapore, Singapore., Brammer JC; Behavioural Science Institute, Radboud University, Nijmegen, Netherlands., Lespinasse F; Département de psychologie, Université de Montréal, Montréal, Canada.; Centre de Recherche de l'Institut Universitaire Geriatrique de Montréal, Montréal, Canada., Pham H; Eureka Robotics, Singapore, Singapore., Schölzel C; Life Science Informatics, THM University of Applied Sciences, Giessen, Germany., Chen SHA; School of Social Sciences, Nanyang Technological University, HSS 04-19, 48 Nanyang Avenue, Singapore, Singapore.; Centre for Research and Development in Learning, Nanyang Technological University, Singapore, Singapore.; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Jazyk: angličtina
Zdroj: Behavior research methods [Behav Res Methods] 2021 Aug; Vol. 53 (4), pp. 1689-1696. Date of Electronic Publication: 2021 Feb 02.
DOI: 10.3758/s13428-020-01516-y
Abstrakt: 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.
(© 2021. The Psychonomic Society, Inc.)
Databáze: MEDLINE
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