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NeuroKit2: A Python toolbox for neurophysiological signal processing

Makowski, D., Pham, T., Lau, Z. J., Brammer, J. C., Lespinasse, F., Pham, H., Schölzel, C., & Chen, S. H. A.

Behavior Research Methods, 2021

NeuroKit2 is the lab's Python toolbox for neurophysiological signals — ECG, PPG, EDA, EMG, RSP and EEG — taking each from a raw recording to cleaned features through the same interface. It is the most widely used piece of software the lab has produced.

• DOI: 10.3758/s13428-020-01516-y
• Full text (PDF)

Keywords: Software Development · Psychophysiology · Signal Processing

Cite

Makowski, D., Pham, T., Lau, Z. J., Brammer, J. C., Lespinasse, F., Pham, H., Schölzel, C., & Chen, S. H. A. (2021). NeuroKit2: A Python toolbox for neurophysiological signal processing. Behavior Research Methods. https://doi.org/10.3758/s13428-020-01516-y

See also

• Heart Rate Variability in Psychology: A Review of HRV Indices and an Analysis Tutorial — Pham, T., Lau, Z. J., Chen, S. H. A., & Makowski, D. (2021)
• Brain entropy, fractal dimensions and predictability: A review of complexity measures for EEG in healthy and neuropsychiatric populations — Lau, Z. J., Pham, T., Chen, S. H. A., & Makowski, D. (2022)
• The Structure of Chaos: An Empirical Comparison of Fractal Physiology Complexity Indices Using NeuroKit2 — Makowski, D., Te, A. S., Pham, T., Lau, Z. J., & Chen, S. H. A. (2022)