基于Micromed、FieldTrip和PsychoPy的闭环电极皮层脑机接口开源实现
An open-source implementation of a closed-loop electrocorticographic Brain-Computer Interface using Micromed, FieldTrip, and PsychoPy
AI总结：
本文提出基于Micromed、FieldTrip和PsychoPy的闭环电极皮层BCI开源实现，提供三个定制库以促进BCI研究的定制化和灵活性。
摘要：
我们提出了一种基于电极皮层记录（ECoG）的闭环脑机接口（BCI）系统的开源实现。我们的系统整合了FieldTrip用于与Micromed采集系统接口，以及PsychoPy用于实现实验。我们开源了三个定制的Python库（psychopylib、pymarkerlib和pyfieldtriplib），分别覆盖闭环BCI接口的不同方面：设计交互式实验、发送事件信息以及实时信号处理。我们的模块促进了透明BCI系统的设计和操作，推动了BCI研究中的定制和灵活性，并降低了研究人员将ECoG解码进展转化为BCI应用的门槛。
英文摘要：
We present an open-source implementation of a closed-loop Brain-Computer Interface (BCI) system based on electrocorticographic (ECoG) recordings. Our setup integrates FieldTrip for interfacing with a Micromed acquisition system and PsychoPy for implementing experiments. We open-source three custom Python libraries (psychopylib, pymarkerlib, and pyfieldtriplib) each covering different aspects of a closed-loop BCI interface: designing interactive experiments, sending event information, and real-time signal processing. Our modules facilitate the design and operation of a transparent BCI system, promoting customization and flexibility in BCI research, and lowering the barrier for researchers to translate advances in ECoG decoding into BCI applications.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
