Name | bsl JSON |
Version |
0.6.4
JSON |
| download |
home_page | |
Summary | Real-time framework for online neuroscience research through LSL-compatible devices. |
upload_time | 2023-09-11 13:29:59 |
maintainer | |
docs_url | None |
author | |
requires_python | >=3.8 |
license | MIT License Copyright (c) 2022 Mathieu Scheltienne Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
keywords |
python
neuroscience
neuroimaging
eeg
lsl
real-time
brain
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/)
[![codecov](https://codecov.io/gh/fcbg-hnp-meeg/bsl/branch/main/graph/badge.svg?token=NTKBYPGFDZ)](https://codecov.io/gh/fcbg-hnp-meeg/bsl)
[![tests](https://github.com/fcbg-hnp-meeg/bsl/actions/workflows/pytest.yml/badge.svg?branch=main)](https://github.com/fcbg-hnp-meeg/bsl/actions/workflows/pytest.yml)
[![build](https://github.com/fcbg-hnp-meeg/bsl/actions/workflows/build.yml/badge.svg?branch=main)](https://github.com/fcbg-hnp-meeg/bsl/actions/workflows/build.yml)
[![doc](https://github.com/fcbg-hnp-meeg/bsl/actions/workflows/doc.yml/badge.svg?branch=main)](https://github.com/fcbg-hnp-meeg/bsl/actions/workflows/doc.yml)
[![PyPI version](https://badge.fury.io/py/bsl.svg)](https://badge.fury.io/py/bsl)
[![Downloads](https://static.pepy.tech/personalized-badge/bsl?period=total&units=international_system&left_color=grey&right_color=blue&left_text=pypi%20downloads)](https://pepy.tech/project/bsl)
[![Downloads](https://static.pepy.tech/personalized-badge/bsl?period=month&units=international_system&left_color=grey&right_color=blue&left_text=pypi%20downloads/month)](https://pepy.tech/project/bsl)
[![Brain Streaming Layer](https://raw.githubusercontent.com/fcbg-hnp-meeg/bsl/main/doc/_static/icon-with-name/icon-with-name.svg)](https://fcbg-hnp-meeg.github.io/bsl)
**BrainStreamingLayer** [(Documentation website)](https://fcbg-hnp-meeg.github.io/bsl)
provides a real-time brain signal streaming framework.
**BSL** contains an improved python-binding for the Lab Streaming Layer C++ library,
`bsl.lsl`, replacing `pylsl`. This low-level binding is used in high-level objects to
interact with LSL streams.
Any signal acquisition system supported by native LSL or OpenVibe is also
supported by BSL. Since the data communication is based on TCP, signals can be
transmitted wirelessly. For more information about LSL, please visit the
[LSL github](https://github.com/sccn/labstreaminglayer).
# Install
BSL supports `python ≥ 3.8` and is available on [PyPI](https://pypi.org/project/bsl/).
Install instruction can be found on the
[documentation website](https://fcbg-hnp-meeg.github.io/bsl/dev/install.html).
# Acknowledgment
**BSL** is based on **NeuroDecode**. The original version developed by
[**Kyuhwa Lee**](https://github.com/dbdq) was recognised at
[Microsoft Brain Signal Decoding competition](https://github.com/dbdq/microsoft_decoding)
with the First Prize Award (2016) after achieving high decoding accuracy.
**BSL** is based on the refactor version by
[**Arnaud Desvachez**](https://github.com/dnastars) for the
[Fondation Campus Biotech Geneva (FCBG)](https://github.com/fcbg-hnp-meeg) and
development is still supported by the
[Human Neuroscience Platform (FCBG)](https://hnp.fcbg.ch/).
<img src="https://raw.githubusercontent.com/fcbg-hnp-meeg/bsl/main/doc/_static/partners/fcbg-hnp-meeg.png" width=150>
# Copyright and license
The code is released under the [MIT License](https://opensource.org/licenses/MIT).
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