LSTM Improves Accuracy of Reaching Trajectory Prediction From Magnetoencephalography Signals-Reference-Cited by-同舟云学术

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LSTM Improves Accuracy of Reaching Trajectory Prediction From Magnetoencephalography Signals

Published:2020 Issue: Volume:8 Page:20146-20150
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Yeom Hong Gi^ORCID,Kim June Sic,Chung Chun Kee

Funder

Chosun University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/08970482.pdf?arnumber=8970482

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3. Review of Brain-Computer Interface Applications in Neurological Disorders;Algorithms for Intelligent Systems;2024

4. A magnetoencephalography dataset during three-dimensional reaching movements for brain-computer interfaces;Scientific Data;2023-08-22

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