Alzheimer’s Disease Discrimination Based on Deep BLSTM-LSTM Network Models

Subjects: Computer Science >> Other Disciplines of Computer Science submitted time 2024-01-10

Li Hongbei

Abstract： With the development of science and technology, EEG signals are utilized in more and more fields because of their rich physiological, psychological and pathological contents. After relevant experiments on the dataset of EEG signals, it is shown that the discrimination of Alzheimer's disease based on the LSTM model realized in this project achieves better results, with an average accuracy of about 93%.

Peer Review Status:Awaiting Review

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