mule:一个开源的EEG采集和流服务器,用于快速和简单的原型和记录

Raymundo Cassani, Hubert J. Banville, T. Falk
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引用次数: 27

摘要

在过去的几年中,消费者脑电图(EEG)设备的可用性显著增加。这些设备通常具有紧凑的外形和实惠的价格,现在允许研究人员和爱好者在各种新的环境和环境中使用EEG。然而,许多消费者头戴式耳机通常需要丰富的编程经验来与各自的驱动程序接口;此外,跨设备的EEG数据访问和记录的标准化仍有待完成。因此,需要一种工具来促进来自消费者耳机的脑电图数据的记录和流,这种工具可以很容易地与不同的编程语言和软件接口,并且允许设备之间的互换性。本文介绍了开源的MuSAE Lab EEG Server (MuLES),这是一个EEG采集和流服务器,旨在为便携式EEG耳机创建一个标准接口,以加速脑机接口(bci)的发展和在新环境下的一般EEG使用。除了目前支持五种不同消费设备和会话回放的EEG服务器接口外,还开发了用于不同平台和各种编程语言的客户端,使原型设计和记录成为一项快速而简单的任务。为了验证EEG服务器的功能和可用性,给出了一个突出其主要功能的用例。开发的工具通过提供单一高效的接口,简化了便携式消费设备的EEG数据的采集和记录,可用于基础和行为研究,原型设计,神经游戏,现场表演和艺术等领域。
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MuLES: An Open Source EEG Acquisition and Streaming Server for Quick and Simple Prototyping and Recording
The past few years have seen the availability of consumer electroencephalography (EEG) devices increase significantly. These devices, usually with a compact form factor and affordable price, now allow researchers and enthusiasts to use EEG in various new contexts and environments. However, the many consumer headsets often require extensive programming experience to interface with their respective drivers; moreover, standardization of the access and recording of EEG data across the devices still remains to be done. Consequently, a tool is needed to facilitate the recording and streaming of EEG data from consumer headsets that can easily be interfaced with different programming languages and software, and that allows interchangeability between devices. This paper describes the open source MuSAE Lab EEG Server (MuLES), an EEG acquisition and streaming server that aims at creating a standard interface for portable EEG headsets, in order to accelerate the development of brain-computer interfaces (BCIs) and of general EEG use in novel contexts. In addition to the EEG server interface which currently supports five different consumer devices and session playback, clients are developed for use on different platforms and in various programming languages, making prototyping and recording a quick and simple task. To validate the functionality and usability of the EEG server, a use case highlighting its main features is presented. The developed tool simplifies the acquisition and recording of EEG data from portable consumer devices by providing a single efficient interface, with applications in areas such as basic and behavioural research, prototyping, neurogaming, live performance and arts.
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