Evaluation of filtering techniques to extract movement intention information from low-frequency EEG activity-Reference-Cited by-同舟云学术

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Evaluation of filtering techniques to extract movement intention information from low-frequency EEG activity

Published:2017-07 Issue: Volume: Page:
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Container-title:2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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Author:

Bibian Carlos,Lopez-Larraz Eduardo,Irastorza-Landa Nerea,Birbaumer Niels,Ramos-Murguialday Ander

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8026122/8036736/08037478.pdf?arnumber=8037478

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Convolutional Neural Network for Imagine Movement Classification for Neurorehabilitation of Upper Extremities Using Low-Frequency EEG Signals for Spinal Cord Injury;Smart Technologies, Systems and Applications;2022

2. On the Extraction of Purely Motor EEG Neural Correlates during an Upper Limb Visuomotor Task;Cerebral Cortex;2021-12-31

3. Electroencephalographic Recording of the Movement-Related Cortical Potential in Ecologically Valid Movements: A Scoping Review;Frontiers in Neuroscience;2021-09-28

4. Influential Factors of an Asynchronous BCI for Movement Intention Detection;Computational and Mathematical Methods in Medicine;2020-03-23

5. EEG-Based Lower-Limb Movement Onset Decoding: Continuous Classification and Asynchronous Detection;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2018-08

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