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sleepeeg
sleepeeg is a high-level package built on top of mne-python, yasa for preprocessing and analysis of sleep EEG data.
Installation
- Make sure you have Python version installed. Requires Python 3.10 or higher.
- Create a Python virtual environment, for more info you can refer to python venv, virtualenv or conda.
- Activate the environment
-
pip install sleepeeg - Download notebooks.
Quickstart
- Open any of the downloaded notebooks using the created environment.
- Follow the notebook's instructions.
RAM requirements
For overnight, high density (256 channels) EEG recordings downsampled to 250 Hz expect at least 64 GB RAM expenditure for cleaning and spectral analyses, and at least 128 GB for event detection (or 64 GB if you downsample the data to 100 Hz before running the detection algorithm).
Metadata
Release files for sleepeeg 0.4.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sleepeeg-0.4.1.tar.gz | 26.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sleepeeg-0.4.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 53.2 kB
Release files / sleepeeg-0.4.1.tar.gz
| Download URL | sleepeeg-0.4.1.tar.gz |
|---|---|
| Size | 26.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.4
|
Release files / sleepeeg-0.4.1-py3-none-any.whl
| Download URL | sleepeeg-0.4.1-py3-none-any.whl |
|---|---|
| Size | 27.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a2a849c38f61efd57c41a13a4fa7d35abc8ad6f372303fec979f4e730fb6c458
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BLAKE2b-256 checksum How to use checksums |
c17a5491126fbee24cded59f5083bcdce4238f1f885be8541d59891c1f50b75f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.4
|