Multi-Feature Fusion Method Based on EEG Signal and its Application in Stroke Classification-Reference-Cited by-同舟云学术

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Multi-Feature Fusion Method Based on EEG Signal and its Application in Stroke Classification

Published:2019-12-21 Issue:2 Volume:44 Page:
ISSN:0148-5598
Container-title:Journal of Medical Systems
language:en
Short-container-title:J Med Syst

Author:

Li Fenglian,Fan Yuzhou,Zhang Xueying,Wang Can,Hu Fengyun,Jia Wenhui,Hui Haisheng

Funder

Shanxi Province Natural Science Foundation Project

Shanxi Province Key Research and Development Project

Shanxi Province Key Science and Technology Projects

National Natural Science foundation of China

Youth Fund of Health Commission of Shanxi Province.

Publisher

Springer Science and Business Media LLC

Subject

Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)

Link

http://link.springer.com/content/pdf/10.1007/s10916-019-1517-9.pdf

Reference23 articles.

1. Ang, K. K., Guan, C., Chua, K. S., Ang, B. T., Kuah, C. W., Wang, C., Phua, K. S., Chin, Z. Y., and Zhang, H., A large clinical study on the ability of stroke patients to use an EEG-based motor imagery brain-computer interface[J]. Clinical EEG & Neuroscience 42(4):253–258, 2011.

2. Zhang Y, Ji X, Liu B, et al. Combined feature extraction method for classification of EEG signals[J]. Neural Computing & Applications, 2016:1–9.

3. Varun Bajaj, Ram Bilas Pachori. Separation of rhythms of EEG signals based on Hilbert-Huang transformation with application to seizure detection[C]. International Conference on Convergence and Hybrid Information Technology, 2012.

4. Shayegh, F., Sadri, S., Amirfattahi, R., and Ansari-Asl, K., A model-based method for computation of correlation dimension, Lyapunov exponents and synchronization from depth-EEG signals[J]. Computer Methods & Programs in Biomedicine 113(1):323–337, 2014.

5. Kocadagli, O., and Langari, R., Classification of EEG signals for epileptic seizures using hybrid artificial neural networks based wavelet transforms and fuzzy relations[J]. Expert Systems with Applications 88:419–434, 2017.

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