Solitary pulmonary nodules are the main manifestation of pulmonary lesions. Doctors often make diagnosis by observing the lung CT images. In order to further study the brain response structure and construct a brain-computer interface, we propose an isolated pulmonary nodule detection model based on a brain-computer interface. First, a single channel time-frequency feature extraction model is constructed based on the analysis of EEG data. Second, a multilayer fusion model is proposed to establish the brain-computer interface by connecting the brain electrical signal with a computer. Finally, according to image presentation, a three-frame image presentation method with different window widths and window positions is proposed to effectively detect the solitary pulmonary nodules.

中文翻译：

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基于脑机接口的孤立性肺结节检测。

孤立性肺结节是肺部病变的主要表现。医生通常通过观察肺部CT图像进行诊断。为了进一步研究脑反应结构并构建脑机接口，我们提出了一种基于脑机接口的孤立肺结节检测模型。首先，基于对脑电数据的分析，建立了单通道时频特征提取模型。其次，提出了一种多层融合模型，通过将脑电信号与计算机连接来建立脑机接口。最后，根据图像表现，提出了一种具有不同窗口宽度和窗口位置的三帧图像表现方法，以有效地检测孤立性肺结节。