Author/Authors :
Qiu, Shi Precision Mechanics - Chinese Academy of Sciences - Xi’an, China , Li, Junjun Department of Radiology - The First Affiliated Hospital of Xi’an Jiaotong University - Xi’an, China , Cong, Mengdi Department of Computed Tomography and Magnetic Resonance - Children’s Hospital of Hebei Province - Shijiazhuang, China , Wu, Chun BeiJing Hi-Tech Institute - Beijing, China , Qin, Yan BeiJing Hi-Tech Institute - Beijing, China , Liang, Ting Department of Radiology - The First Affiliated Hospital of Xi’an Jiaotong University - Xi’an, China
Abstract :
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 braincomputer interface by connecting the brain electrical signal with a computer. Finally, according to image presentation, a threeframe image presentation method with different window widths and window positions is proposed to effectively detect the
solitary pulmonary nodules.
