This implements the FASTER pipeline using MNE-Python.
Nolan H, Whelan R, Reilly RB. FASTER: Fully Automated Statistical Thresholding for EEG artifact Rejection. J Neurosci Methods. 2010 Sep 30;192(1):152-62. doi: 10.1016/j.jneumeth.2010.07.015. Epub 2010 Jul 21. PMID: 20654646.
Installation
pip install https://github.com/wmvanvliet/mne-faster/archive/refs/heads/main.zip
Usage
See the example
Metadata
Release files for mne-faster 1.2.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mne_faster-1.2.2.tar.gz | 10.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mne_faster-1.2.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 18.6 kB
Release files / mne_faster-1.2.2.tar.gz
| Download URL | mne_faster-1.2.2.tar.gz |
|---|---|
| Size | 10.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/6.1.0 CPython/3.11.11
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Release files / mne_faster-1.2.2-py3-none-any.whl
| Download URL | mne_faster-1.2.2-py3-none-any.whl |
|---|---|
| Size | 8.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.11.11
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