Detection of Solitary Pulmonary Nodules Based on Brain-Computer Interface
Joint Authors
Qiu, Shi
Li, Junjun
Cong, Mengdi
Wu, Chun
Qin, Yan
Liang, Ting
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-15
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Qiu, Shi& Li, Junjun& Cong, Mengdi& Wu, Chun& Qin, Yan& Liang, Ting. 2020. Detection of Solitary Pulmonary Nodules Based on Brain-Computer Interface. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1139454
Modern Language Association (MLA)
Qiu, Shi…[et al.]. Detection of Solitary Pulmonary Nodules Based on Brain-Computer Interface. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1139454
American Medical Association (AMA)
Qiu, Shi& Li, Junjun& Cong, Mengdi& Wu, Chun& Qin, Yan& Liang, Ting. Detection of Solitary Pulmonary Nodules Based on Brain-Computer Interface. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1139454
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139454