MNE-FASTER: automatic bad channel/epoch/component detection
Project description
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
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file mne_faster-1.2.2.tar.gz.
File metadata
- Download URL: mne_faster-1.2.2.tar.gz
- Upload date:
- Size: 10.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b66726e39995623dff57f7a83f03d955c9ae06de40fa1d4770cd09f3f91f2be0
|
|
| MD5 |
feffa84adf803db4f0ad06cfd7eb934f
|
|
| BLAKE2b-256 |
dc48b6872d7c7ea2eb6640d82ba0639aad4de5c2667289bd1620a2d888f3bcc8
|
File details
Details for the file mne_faster-1.2.2-py3-none-any.whl.
File metadata
- Download URL: mne_faster-1.2.2-py3-none-any.whl
- Upload date:
- Size: 8.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
808db147355f1777fa433b79d39cedd852019b533e2d1e3d209e96b06bce7b06
|
|
| MD5 |
8852068a8f14caf47e83c40e2113f80c
|
|
| BLAKE2b-256 |
792abefb6ad3b60ba93bdc7b5c121934786941547946fe9936ab6877c0500020
|