# 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 --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. 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