Classification of stand-to-sit and sit-to-stand movement from low frequency EEG with locality preserving dimensionality reduction-Reference-Cited by-同舟云学术

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Classification of stand-to-sit and sit-to-stand movement from low frequency EEG with locality preserving dimensionality reduction

Published:2013-07 Issue: Volume: Page:
ISSN:
Container-title:2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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Author:

Bulea Thomas C.,Prasad Saurabh,Kilicarslan Atilla,Contreras-Vidal Jose L.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6596169/6609410/06611004.pdf?arnumber=6611004

Cited by 6 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. Brain (EEG) and muscle (EMG) activity related to 3D sit-to-stand kinematics in healthy adults and in central neurological pathology – A systematic review;Gait & Posture;2024-09

2. Sitting and Standing Intention Detection Based on Dynamical Region Connectivity and Entropy of EEG;Journal of Electrical and Computer Engineering;2023-04-28

3. Extreme learning machine classification method for lower limb movement recognition;Cluster Computing;2017-06-22

4. Discriminative Manifold Learning Based Detection of Movement-Related Cortical Potentials;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2016-09

5. Factors of Influence on the Performance of a Short-Latency Non-Invasive Brain Switch: Evidence in Healthy Individuals and Implication for Motor Function Rehabilitation;Frontiers in Neuroscience;2016-01-21

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