convolutional neural network (CNN)

Learning Invariant Patterns Based on a Convolutional Neural Network and Big Electroencephalography Data for Subject-Independent P300 Brain-Computer Interfaces
Author(s)3: Wei Gao, Tianyou Yu, Jin-Gang Yu, Zhenghui Gu, Kendi Li, Yong Huang, Yuanqing Li, Zhu Liang Yu
Learning Invariant Patterns Based on a Convolutional Neural Network and Big Electroencephalography Data for Subject-Independent P300 Brain-Computer Interfaces 540 430 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

A brain-computer interface (BCI) measures and analyzes brain activity and converts this activity into computer commands to control external devices. In contrast to traditional BCIs that require a subject-specific calibration…

read more

Subscribe for Updates

Join our mailing list to receive the latest news and updates.

Subscribe Now
IEEE Engineering in Medicine & Biology Society Logo

TNSRE serves the community of biomedical engineers and clinical researchers who work at the intersection of neuroscience and physical medicine. We publish novel approaches and technologies for better understanding neural systems, human movement, and the relationships between them, with a focus on assistive devices that improve life for patients, for practicing clinicians, and for everyday use.

IEEE Logo

© Copyright IEEE – All rights reserved. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.

Search this website