Buy me a coffeeerzk/fnirsr: Package for analysing funtional near-infrared spectroscopy (fNIRS) data
Added Sunday Dec 13th, 2020What is this?
Description from site: Load, slice, filter, plot, and transform fNIRS data. The majority of functions were developed to work with Hitachi ETG-4000 data.
Link to repo here: https://github.com/erzk/fnirsr
Cool functions from package:
- load_ETG4000_data(): Loading the signal from csv files
- plot_ETG4000(): Plotting function with “facets” as default.
- remove_channels_ETG4000(): If a channel (or several channels) is corrupt and cannot be cleaned then the simplest way to obtain clean grand average is to remove the noisy channel.
- detrend_ETG4000_data(): fNIRS signal is likely to show a linear trend which can be removed. Grand Average in the plot above is showing a linear downward trend. The linear trend can be removed from all channels (recommended) or from a single channel.