<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Brain-Computer Interface | Zhonghao Chen</title><link>https://diogeneschen.github.io/tags/brain-computer-interface/</link><atom:link href="https://diogeneschen.github.io/tags/brain-computer-interface/index.xml" rel="self" type="application/rss+xml"/><description>Brain-Computer Interface</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sun, 01 Oct 2023 00:00:00 +0000</lastBuildDate><image><url>https://diogeneschen.github.io/media/icon_hu18301096222111465208.png</url><title>Brain-Computer Interface</title><link>https://diogeneschen.github.io/tags/brain-computer-interface/</link></image><item><title>Deep Learning Techniques for EEG-Based BCI: Analysis and Applications</title><link>https://diogeneschen.github.io/publication/eeg-bci-cisp-bmei-2023/</link><pubDate>Sun, 01 Oct 2023 00:00:00 +0000</pubDate><guid>https://diogeneschen.github.io/publication/eeg-bci-cisp-bmei-2023/</guid><description>&lt;p>Conference paper on deep learning techniques for EEG-based brain-computer interfaces (BCI).&lt;/p></description></item></channel></rss>