dipterix/ravetools: Signal and Image Processing Toolbox for Analyzing Intracranial Electroencephalography Data

Implemented fast and memory-efficient Notch-filter, Welch-periodogram, discrete wavelet spectrogram for minutes of high-resolution signals, fast 3D convolution, image registration, 3D mesh manipulation; providing fundamental toolbox for intracranial Electroencephalography (iEEG) pipelines. Documentation and examples about 'RAVE' project are provided at <https://rave.wiki>, and the paper by John F. Magnotti, Zhengjia Wang, Michael S. Beauchamp (2020) <doi:10.1016/j.neuroimage.2020.117341>; see 'citation("ravetools")' for details.

Getting started

Package details

Maintainer
LicenseGPL (>= 2)
Version0.2.2
URL https://rave.wiki https://dipterix.org/ravetools/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("dipterix/ravetools")
dipterix/ravetools documentation built on March 5, 2025, 3:08 a.m.