Behavior Research Methods Paper: NeuroKit2, A Python toolbox for neurophysiological signal processing

Last Updated on December 27, 2022 by pg@petergamma.org

Dominique Makowski1 · Tam Pham 1 · Zen J. Lau 1 · Jan C. Brammer 2 · Franc ̧ois Lespinasse 3,4 · Hung Pham5 · Christopher Sch ̈olzel6 · S. H. Annabel Chen 

Dominique Makowski dmakowski@ntu.edu.sg
1 School of Social Sciences, Nanyang Technological University, HSS 04-19, 48 Nanyang Avenue, Singapore, Singapore
2 Behavioural Science Institute, Radboud University, Nijmegen, Netherlands
3 Departement de psychologie, Universite de Montreal, Montreal, Canada
4 Centre de Recherche de l’Institut Universitaire Geriatrique de Montreal, Montreal, Canada
5 Eureka Robotics, Singapore, Singapore
6 Life Science Informatics, THM University of Applied Sciences, Giessen, Germany
7 Centre for Research and Development in Learning, Nanyang Technological University, Singapore, Singapore
8 Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore

  • the paper about NeuroKit2:

https://link.springer.com/content/pdf/10.3758/s13428-020-01516-y.pdf?pdf=button

  • and the NeuroKit2 demos on the GITHUB page:

https://github.com/neuropsychology/NeuroKit

  • shows many interesting parameters, like heart rate from ECG and PPG, respration rate from a sensor belt, HRV, different plots and further analysis tools, and it is worth to have a closer look at it.
  • It shows what is currently possible and implemented in Python with physiolgical sensors.