A package pipeline for Sleep Events Analysis of EEG data.
Project description
About
A package pipeline for Sleep Events Analysis of EEG data.
seapipe is a Python pipeline for Sleep Events Analysis. The package reads EEG recordings with the purpose of detecting and analysing sleep neurophysiology, such as sleep architecture statistics, sleep spindles, slow oscillations, phase amplitude coupling, and power spectral analyses.
It pulls functions from a range of other open source packages, including: Wonambi, YASA, MNE, specparam (fooof) and Tensorpac
It offers a simple and intuitive, yet fully customisable API. The major advantage of seapipe is that it can be deployed on full, diverse datasets that might require flexibility in certain parameters (e.g. electrode names, polarity of recordings, individualised frequency bands etc). The only requirement is that the data should be structured in BIDS.
For more information, check out the documentation at: https://seapipe.readthedocs.io/en/latest/index.html
Release history Release notifications | RSS feed
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 seapipe-0.7.tar.gz.
File metadata
- Download URL: seapipe-0.7.tar.gz
- Upload date:
- Size: 165.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.19
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
27609b0707e4bfa7108f52acefa31e7ae9b98fe66297073fbf98ecf8a804f143
|
|
| MD5 |
03840fcc6138ad9d619b2756f87a9d77
|
|
| BLAKE2b-256 |
3c7110763f51a12dd993c26453dda7d6e5080271558fb3fc23d2346279a8c932
|
File details
Details for the file seapipe-0.7-py3-none-any.whl.
File metadata
- Download URL: seapipe-0.7-py3-none-any.whl
- Upload date:
- Size: 184.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.19
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ff602e01fc64b8c24bb2402ea5027e4bf2a366056f31778a8586a1b23d4900b8
|
|
| MD5 |
f9344c0c149d60f48e6849ea3994333f
|
|
| BLAKE2b-256 |
3d63fa01f1d372df81358e6429c4025a065e816347bd01c0edf3960457bfd15b
|
