> For the complete documentation index, see [llms.txt](https://book.7988888.xyz/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://book.7988888.xyz/stimulus-softwares-ci-ji-ruan-jian/lab.md).

# Lab Streaming Layer 数据流简介

**lab streaming layer（LSL）**是用于研究的实验测量时间序列的统一收集，处理双方的网络，时间同步，实时访问设备系统以及可选的数据采集，可视化视图和保存记录数据。

**LSL**由核心库和一套建立在库的顶部工具。

核心传输库是[liblsl](https://github.com/labstreaminglayer/liblsl/)及其语言接口（[C](https://github.com/sccn/liblsl/)，[C ++](https://github.com/sccn/liblsl/)，[Python](https://github.com/labstreaminglayer/liblsl-Python/)，[Java](https://github.com/labstreaminglayer/liblsl-Java/)，[C＃](https://github.com/labstreaminglayer/liblsl-Csharp/)，[MATLAB](https://github.com/labstreaminglayer/liblsl-Matlab/)）。该库是通用和跨平台的（操作系统支持：Win / Linux / MacOS / [Android](https://github.com/labstreaminglayer/liblsl-Android/) / iOS；体系结构支持：x86 / amd64 / arm）。

实时数据流的采集将有利于脑机接口(BCI)的运用和数据的开发。

![](https://tva1.sinaimg.cn/large/00831rSTgy1gdbn5bnoptj30t40hadhb.jpg)

LSL的简介，我在很早的时候，在微信公众号BrainTechnology上介绍过几篇如何使用lsl来读取EEG/fNIRS设备的数据过程。

LSL[**连接EEG设备**](https://mp.weixin.qq.com/s/Vii_M3jCSr6EFE0OzFzJ3w)

LSL[**连接fNIRS设备**](https://mp.weixin.qq.com/s/WCG8OlIjPvVbxBfDaHIGXw)

## 当前可查阅到的学习资源

GitHub [**labstreaminglayer**](https://github.com/sccn/labstreaminglayer)

LSL[**文档教程**](https://labstreaminglayer.readthedocs.io/index.html)

[**在MATLAB中接收数据流**](https://github.com/sccn/labstreaminglayer/wiki/Tutorial-4-a.-Receive-Data-streams-in-MATLAB)

[**liblsl-python**](https://github.com/labstreaminglayer/liblsl-Python/tree/master/pylsl/examples)在Python中可以使用pip install pylsl使用

[**liblsl-matlab**](https://github.com/labstreaminglayer/liblsl-Matlab/)在matlab中使用一定要注意使用目录路径

对于开发人员可以通过安装LSL来构建所需要的环境，可参考[**该网址**](https://labstreaminglayer.readthedocs.io/dev/build_env.html)以及github上的[**安装教程**](https://github.com/sccn/labstreaminglayer/wiki/INSTALL)

## 支持的设备和工具

所有app支持旧版本的[**安装包文件**](ftp://sccn.ucsd.edu/pub/software/LSL/Apps/)

LSL最初是为了促进涉及多模态数据采集的实验而开发的，包括大脑动力学（主要是EEG），生理学（EOG，EMG，心率，呼吸，皮肤电导率等），行为数据（动作捕捉，眼动跟踪，触摸交互，面部表情等），最后是程序状态（例如事件标记）。

### 支持的EEG硬件

目前市场上的大多数EEG系统都与LSL兼容。

* 下列设备通过供应商提供的软件支持LSL：
* [ANT eego sports](https://www.ant-neuro.com/products/eego_sports)
* [Cognionics (all headsets)](http://www.cognionics.com/)
* [EB Neuro BE Plus LTM](http://www.ebneuro.biz/en/neurology/ebneuro/galileo-suite/be-plus-ltm)
* * [InteraXon Muse](http://www.choosemuse.com/)

    [MU-01 - Muse - Released 2014 Example with Matlab](https://labstreaminglayer.readthedocs.io/info/matlab_example_with_muse.html)[MU-02 - Muse - Released 2016](https://github.com/alexandrebarachant/muse-lsl)[MU-03 - Muse 2 - Released 2018](https://github.com/alexandrebarachant/muse-lsl)
* [mBrainTrain SMARTING](http://www.mbraintrain.com/smarting/)
* neuroelectrics [(Enobio](http://www.neuroelectrics.com/products/enobio/), [StarStim](https://www.neuroelectrics.com/solutions/starstim)) via [NIC2](https://www.neuroelectrics.com/solution/software-integrations/nic2).
* [OpenBCI (all headsets)](http://docs.openbci.com/software/06-labstreaminglayer)

**LSL发行版中包含的程序支持以下系统（标有（u）的未试用系统）：**

* [ABM B-Alert X4/X10/X24 wireless](https://github.com/labstreaminglayer/App-BAlert) (u)
* [BioSemi Active II Mk1 and Mk2](https://github.com/labstreaminglayer/App-BioSemi)
* [Blackrock Cerebus/NSP](https://github.com/labstreaminglayer/App-BlackrockTimestamps) (timestamps only)
* [Brain Products ActiChamp series](https://github.com/labstreaminglayer/App-BrainProducts)
* [Brain Products BrainAmp series](https://github.com/labstreaminglayer/App-BrainProducts)
* [BrainVision RDA client](https://github.com/brain-products/LSL-BrainVisionRDA/releases)
* [Brain Products LiveAmp](https://github.com/labstreaminglayer/App-BrainProducts/releases)
* [Cognionics dry/wireless](https://github.com/labstreaminglayer/App-Cognionics)
* [EGI AmpServer](https://github.com/labstreaminglayer/App-EGIAmpServer)
* [Enobio dry/wireless](https://github.com/labstreaminglayer/App-Enobio) (u)
* [g.Tec g.USBamp](https://github.com/labstreaminglayer/App-g.Tec/tree/master/g.USBamp) (buggy at high sampling rates)
* [g.Tec g.NEEDaccess](https://github.com/labstreaminglayer/App-g.Tec/tree/master/g.NEEDaccess) (including g.USBamp, g.HIamp, g.Nautilus)
* [MINDO dry/wireless](https://github.com/labstreaminglayer/App-MINDO)
* [Neuroscan Synamp II and Synamp Wireless](https://github.com/labstreaminglayer/App-Neuroscan) (u)

### 支持眼动追踪硬件

**LSL当前支持几种眼动跟踪系统，这些系统已包含在发行版中（标有（u）的未调试系统）：**

* Eye Tribe Tracker Pro
* [SMI iViewX](https://github.com/labstreaminglayer/App-SMIEyetracker)
* [SMI Eye Tracking Glasses](https://github.com/labstreaminglayer/App-SMIEyetracker)
* [SR Research Eyelink](https://github.com/labstreaminglayer/App-EyeLink)
* Tobii Eye trackers

  [Tobii Pro](https://github.com/labstreaminglayer/App-TobiiPro)

  [Tobii StreamEngine (consumer devices)](https://github.com/labstreaminglayer/App-TobiiStreamEngine)

  [Tobii other (older app)](https://github.com/labstreaminglayer/App-Tobii) (u)
* Custom 2-camera eye trackers (with some hacking)
* [Pupil-Labs](https://github.com/labstreaminglayer/App-PupilLabs)

### 支持人机界面的硬件

* LSL支持多种Windows兼容的输入硬件，该发行版随附了这些硬件：
* [Input devices (keyboards, trackballs, presenters, etc.)](https://github.com/labstreaminglayer/App-Input)
* [DirectX-compatible joysticks, wheels, gamepads and other controllers](https://github.com/labstreaminglayer/App-GameController)
* [Nintendo Wiimote and official expansions](https://github.com/labstreaminglayer/App-Wiimote)

### 支持的动作捕捉硬件

LSL当前支持几种运动捕捉系统，这些系统已包含在发行版中。这些是：

* [AMTI force plates with serial I/O](https://github.com/labstreaminglayer/App-AMTIForcePlate)
* [PhaseSpace](https://github.com/labstreaminglayer/App-PhaseSpace)
* [Microsoft Kinect](https://github.com/labstreaminglayer/App-KinectMocap)
* [NaturalPoint OptiTrack](https://github.com/labstreaminglayer/App-OptiTrack) (some versions)
* [OpenVR](https://github.com/labstreaminglayer/App-OpenVR)
* [Qualisys](https://github.com/qualisys/qualisys_lsl_app)

### 支持硬件刺激

* 以下刺激设备（TMS，TDCS / TACS）具有LSL支持：

  [Soterix Medical MXN-33经颅电刺激仪](https://soterixmedical.com/research/hd/mxn-33)

### 支持的刺激呈现软件

* [Neurobehavioral Systems Presentation](https://www.neurobs.com/)
* [iMotions](https://www.imotions.com/)
* Psychopy (using LSL for Python)
* PsychToolbox (using LSL for MATLAB)
* Unity (using LSL for C#)
* [Simulation and Neuroscience Application Platform (SNAP)](https://github.com/sccn/SNAP)
* [Reiz](https://github.com/pyreiz/pyreiz)

同时推荐你查阅我之前写的使用LSL发送标记给nirs设备。

[**Psychopy通过LAN网线触发marker连接NIRX设备**](https://mp.weixin.qq.com/s/PDkFdW28SuozTyIWDy3-GA)

### 谢谢大家观看，如有帮助，来个喜欢或者关注吧！

本文作者：Chen Rui