OPTICAL+: a frequency-based deep learning scheme for recognizing brain wave signals.

ABSTRACT: A human-computer interaction (HCI) system can be used to detect different categories of the brain wave signals that can be beneficial for neurorehabilitation, seizure detection and sleep stage classification. Research on developing HCI systems using brain wave signals has progressed a lot over the years. However, real-time implementation, computational complexity and accuracy are still a concern. In this work, we address the problem of selecting the appropriate filtering frequency band while also achieving a good system performance by proposing a frequency-based approach using long short-term memory network (LSTM) for recognizing different brain wave signals. Adaptive filtering using genetic algorithm is incorporated for a hybrid system utilizing common spatial pattern and LSTM network. Th

SUBMITTER: Kumar S 

PROVIDER: S-EPMC7959638 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature