RAISE: A Resistive Accelerator for Subject-Independent EEG Signal Classification

• Published in: Proceedings - Design, Automation, and Test in Europe Conference and Exhibition pp. 340 - 343
• Main Authors: Chen, Fan, Song, Linghao, Li, Hai Helen, Chen, Yiran
• Format: Conference Proceeding
• Language: English
• Published: EDAA 01.02.2021
• Subjects: BCI; Biological system modeling; Brain modeling; DNN; EEG; Electroencephalography; Neural networks; Pattern classification; resistive memory; Throughput; Training data

State-of-the-art deep neural networks (DNNs) for electroencephalography (EEG) signals classification focus on subject-related tasks, in which the test data and the training data needs to be collected from the same subject. In addition, due to limited computing resources and strict power budgets at e...