PyTES: A Python toolbox for closed-loop transcranial electrical stimulation
- Author(s)
- Jiachen Xu, Moritz Grosse-Wentrup
- Abstract
Closed-loop transcranial electrical stimulation (TES) is attracting increasing interest, but limited hardware and software solutions impede wide adoption. In particular, existing solutions are restricted to specific hardware, operating systems, and commercial software packages. We present a Python-based toolbox ? PyTES ? for closed-loop TES. PyTES is open-source, easy to integrate with existing Python packages for real-time brain decoding, and is able to interface with a wide range of low-cost hardware solutions. In this paper, we review existing solutions for closed-loop TES, introduce the design principles of PyTES, and demonstrate how to realize a closed-loop TES protocol with PyTES.
- Organisation(s)
- Research Group Neuroinformatics, Research Network Data Science, Vienna Cognitive Science Hub
- Journal
- SoftwareX
- Volume
- 23
- ISSN
- 2352-7110
- DOI
- https://doi.org/10.1016/j.softx.2023.101403
- Publication date
- 07-2023
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 102022 Software development, 206001 Biomedical engineering, 301407 Neurophysiology
- Keywords
- ASJC Scopus subject areas
- Software, Computer Science Applications
- Portal url
- https://ucris.univie.ac.at/portal/en/publications/pytes-a-python-toolbox-for-closedloop-transcranial-electrical-stimulation(e03e0696-6873-4161-9831-d09d47794045).html