Currently import_raw() only handles BDF/EDF files, thanks to the edfReader package. I'd like to extend support to other file formats, such as those from EGI or Neuroscan systems.

Allow facetting for erp_raster

when using method = "gam" with geom_topo(), interp_limit = "scalp" sets the the head limits incorrectly (way inside head radius)

Need to rewrite the code to be more efficient with many epochs

erp_scalp should use chan_info structure when it's available, instead of always trying to overwrite the montage. Needs a broader rework to ensure proper use of canvas space etc.

Hi,

I've just tried to install eegUtils via RStudio (R version 3.6.1) and I got this error:

Error: Failed to install 'eegUtils' from GitHub:
(converted from warning) unable to access index for repository https://cran.rstudio.com/bin/macosx/el-capitan/contrib/3.6:
cannot open URL 'https://cran.rstudio.com/bin/macosx/el-capitan/contrib/3.6/PACKAGES'

I suspect it might be related to the fact that I'm currently using macOS Catalina, since I didn't encounter any error in the past when using eegUtils. What do you think?

Many thanks for your time.
Alberto

Currently messy as it's a mixture of multiple co-ordinate systems, because the structure mimics EEGLAB's.

• combining eeg_evoked objects from multiple participants can lead to broken "timings"

edfReader seems to be slow considering the size of the files being loaded; replace with custom routines?

Getting warnings when running electrode_locations:

The `x` argument of `as_tibble.matrix()` must have column names if `.name_repair` is omitted as of tibble 2.0.0.
Using compatibility `.name_repair`.

eeg_FASTER and interp_elecs don't correctly handle channels that are either not in the channel info at all, or have elements missing (e.g. co-ordinates are NA)

Epoching data sometimes causes problems when requested time limits don't hit zero at a given sampling rate. E.g. epoch limits of -.3, .75 fail at 256 Hz.

I work in a lab that has custom caps and electrode locations. Is it possible to define/enter custom electrode locations so that topoplot() can display maps properly?

Noticed with normal data.frame, not eeg_data class - seems to ignore grouping by epoch sometimes, thus baseline corrects with the average across all epochs instead of the average from each epoch.

edit - seems to be an awkward interaction with data that's already grouped on input.

Dear Matt,

The test-ICA.R tests are failing on OSX.

── 1. Failure: topoplots for ICA work (@test-ICA.R#14)  ───────────────────────
Figures don't match: topographical-plot-for-sobi.svg


── 2. Failure: ICA timecourses work (@test-ICA.R#26)  ─────────────────────────
Figures don't match: timecourse-over-one-component.svg


── 3. Failure: component removal works (@test-ICA.R#39)  ──────────────────────
Figures don't match: removed-one-component.svg


── 4. Failure: component removal works (@test-ICA.R#41)  ──────────────────────
Figures don't match: reconstruct-all.svg

Any idea what is causing this?

Thanks!

Some functions return data frames, others return tibbles
e.g. rm_baseline()

The number of FFT points needs to be validated; some combinations of data and FFT points create artefacts.

I am having trouble with topoplot() when using electrode locations provided in the eegkit R package (data(eegcoord, package = "eegkit")). I assume those locations are fairly standard.

Here's the result when I use those locations, with data d:

topoplot(d)

I have fixed these issues and made topoplot() load these locations by default if locations are not passed in data. Resulting figure is here (I've added a few options e.g. argument for contours):

topoplot(d, rmax = 10, chan_marker = "name", contour=F)

The fixes can be found here: https://github.com/mvuorre/eegUtils. I haven't submitted a pull request because I'm not sure if you'd want to use these electrode locations as default (or if the changes are good overall.) Let me know if you'd like me to submit it, though.

Thanks for the great function(s)!

Hi,

It seems that the vignette by @erzk is not available
#8

And in the website, only data structure is available in the articles menu
https://craddm.github.io/eegUtils/articles/data_structures.html

but I found eegUtils-intro.html buried in the git

psd sometimes errors with n_fft = 512

There are functions for calculating various channel and epoch statistics but nothing currently to help visualize them

make sure when epochs are kept that epoch number is numeric and and any epoch labels are included

Now that BIDS-EEG is being formalized, time to start making my data structures more compatible

Fails when unequal number of epochs.
Does not check order of epochs across objects, which causes problems with averaged eeg_tfr objects.
Need to implement much more detailed checking of objects since eeg_tfr uses matrices internally

Just went to install the package by copy/pasting the code from the README.md and got the error Error: 'install_packages' is not an exported object from 'namespace:devtools'. It was easy to fix by replacing the install_packageswith install_github, but I figured you might want to know so you can update the README with the proper command. Thanks for creating/maintaining the package!

Allow specification of custom titles?

Hi,
I was trying to select another color for 6 electrodes in 10-20 system; however, r only changes the color for 3 of them. I'm pretty sure it's a minor issue, but since I was not able to solve it, I came here to ask you guys.

`data(eegcoord)
myelectrodes <- rep("light blue",87)
enames <- rownames(eegcoord)
myelectrodes[enames=="A1"] <- "red"
myelectrodes[enames=="A2"] <- "red"
myelectrodes[enames=="C4"] <- "red"
myelectrodes[enames=="F7"] <- "red"
myelectrodes[enames=="O1"] <- "red"
myelectrodes[enames=="O2"] <- "red"

eegcap(electrodes = "10-20", col.point = myelectrodes)`

I'm working on this, it seems fine so far. I'll do a pull request soon.

the new filtering method currently ignores epoch boundaries, which can result in minor edge artefacts.

Dear Matt,
Love the package. Any interest in submitting to Neuroconductor? It's a general medical image analysis repo of R packages (similar to Bioconductor), and I think eegUtils would work well. We have ports for FSL and neuroimaging things but nothing really for EEG.

https://neuroconductor.org/submit-package

@adigherman

... doesn't always reconstruct data correctly

when using eeg_filter() on non-raw data (e.g., for plotting) it would be handy to manipulate (or at least deactivate) the demeaning feature of the function.
In a concrete case: when lp-filtering epoched data for plotting, epochs with high amplitude slow negative potentials (lasting for the bigger part of the epoch) were "pushed upwards", i.e. baseline signal was constant above x-axis. For such a case, it would be good to be able to either deactivate the demeaning or have a parameter that is forwarded to rm_baseline() to specify the baseline time window (i.e., time_lim).

improve memory handling etc

Would this library support wave files for single channels like BackyardBrains SpikerShield?
https://backyardbrains.com/products/heartandbrainspikershieldbundle
If not, is there any way to transform this kind of input into an accepted data format?

Can you add S2B1.bdf to the package if it's to be used for vignettes/readme?

look into workaround for reading HDF5 files

notch filtering currently returns only NA on some data

progress bars would be great to have!

progressr package may be useful for this in cases where the future package is used.

• Decompose topoplot and other plotting functions into parts and add as ggplot extensions (e.g. geom_topo) as well as monolothic functions mostly done but contours are a problem...
• Rewrite functions as S3 methods where possible/necessary
• New object classes for PSD, ICA etc. (new ICA and TFR classes added)
• Add artefact detection (absolute threshholding, probability measures etc)
• Implement FASTER (mostly done - only ICA and GA left...)
• Channel interpolation Spherical spline implemented
• Improve data browsing speed
• Allow visualization of artefact rejections
• Implement multiple ICA methods and browsing of those methods - SOBI, fastica, infomax available
• Add methods for removal of ICA components
• Add frequency analyses (PSD added, TFR in progress) - Morlet wavelet TFR added
• Reducing the number of external Depends to <=20
• Better tidyverse support - e.g. wrappers around dplyr functions, currently some done for select(), filter(), mutate, and rename
• Decide on format of channel locations.
• DOCUMENTATION, DOCUMENTATION, DOCUMENTATION! Vignettes etc...
• Improve implementation of glm fitting - allow adding baseline as a covariate etc-
• add boundaries when combining continuous data across files
• tests for more complex objects (e.g. groups, TFR evokeds etc)
• Allow log-spacing of frequencies in compute_tfr() and check how plot_tfr() can handle them
• Improve S3 class documentation

Hi,

Any plans on implementing a function for a plot that shows a topographic arrangement of ERPs? I've been working on one here, and can send in a pull request if it's a feature you'd like to add to eegUtils.

Here's sample output from the function on my dev branch:

erp_scalp(data, color = "group")

returns signals as data.table

Topoplots are a great feature of eegUtils, but forcing them to look nice on a 5x5cm figure is a pain (requires hacks using ggplot_build() / ggplot_gtable()). It would be great if topoplot had an optional argument with a scaling factor and have all line weights in contours be based on this factor.

I imported many edf files without problems using import_raw, but noticed that some files produced an error.

I realized that these files contain annotations. The error does not occur when the code in import_raw:

data <- edfReader::readEdfSignals(edfReader::readEdfHeader(file_name))

is replaced by

data <- edfReader::readEdfSignals(edfReader::readEdfHeader(file_name), signals = "Ordinary")