用于自然声调句子的离线脑电皮层脑到文本解码协议。
Protocol to perform offline ECoG brain-to-text decoding for natural tonal sentences.
作者信息
Zhang Daohan, Wang Zhenjie, Qian Youkun, Zhao Zehao, Liu Yan, Lu Junfeng, Li Yuanning
机构信息
Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; Shanghai Key Laboratory of Clinical and Translational Brain-Computer Interface Research, Shanghai 200040, China.
School of Biomedical Engineering, ShanghaiTech University, Shanghai 201210, China.
出版信息
STAR Protoc. 2025 Mar 21;6(1):103650. doi: 10.1016/j.xpro.2025.103650. Epub 2025 Feb 21.
Here, we present a protocol to decode Mandarin sentences from invasive neural recordings using a brain-to-text framework. We describe steps for preparing materials, including designing the sentence corpus and setting up electrocorticography (ECoG) recording systems. We then detail procedures for decoding, such as data preprocessing, selection of speech-responsive electrodes, speech detection, syllable and tone decoding, and language modeling. We also outline performance evaluation metrics. For complete details on the use and execution of this protocol, please refer to Zhang et al..
在此，我们展示了一种使用脑到文本框架从侵入性神经记录中解码汉语句子的方案。我们描述了准备材料的步骤，包括设计句子语料库和设置皮质脑电图（ECoG）记录系统。然后，我们详细说明了解码过程，如数据预处理、语音响应电极的选择、语音检测、音节和声调解码以及语言建模。我们还概述了性能评估指标。有关此方案的使用和执行的完整详细信息，请参考Zhang等人的研究。
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