Using a novel modular continuous restricted Boltzmann machine to SSVEP-based BCIs for amyotrophic lateral sclerosis-Reference-Cited by-同舟云学术

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Using a novel modular continuous restricted Boltzmann machine to SSVEP-based BCIs for amyotrophic lateral sclerosis

Published:2019-08-10 Issue:1 Volume:28 Page:221-227
ISSN:0946-7076
Container-title:Microsystem Technologies
language:en
Short-container-title:Microsyst Technol

Author:

Lee Chien-Ching,Chuang Chia-Chun,Yeng Chia-Hong,So Edmund-Cheung,Lin Bor-Shyh,Chen Yeou-Jiunn^ORCID

Funder

Ministry of Science and Technology, Taiwan, Republic of China

Higher Education Sprout Project, Ministry of Education, Taiwan, Republic of China

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Condensed Matter Physics,Electronic, Optical and Magnetic Materials

Link

https://link.springer.com/content/pdf/10.1007/s00542-019-04589-8.pdf

Reference32 articles.

1. Anila M, Radhika P (2017) Lip contour detection based AAC device using Morse code. In: 2017 international conference on wireless communications, signal processing and networking (WiSPNET), 2017, pp 1182–1187

2. Chang SJ, Duan BG, Hsiao CH, Liu CW, Young SJ (2014) UV enhanced emission performance of low temperature grown Ga-doped ZnO nanorods. IEEE Photonics Technol Lett 26(1):66–69

3. Chen YJ, Wu JL (2016) A computer-aided articulation learning system for subjects with articulation disorders. Eng Computat 33(7):2185–2197

4. Chen YJ, Chen SC, Zaeni IAE, Wu CM (2016) Fuzzy tracking and control algorithm for an SSVEP-based BCI system. Appl Sci 6(10):270. https://doi.org/10.3390/app6100270

5. Chen SC, Chen YJ, Zaeni IAE, Wu CM (2017) A single channel SSVEP based BCI with a fuzzy feature threshold algorithm in a maze game. Int J Fuzzy Syst 19(2):553–565

Cited by 3 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. A Hybrid Feature Extraction Technique for Optimized Motor Imagery Classification in BCI;2023 IEEE 11th International Conference on Information, Communication and Networks (ICICN);2023-08-17

2. Improving SSVEP-BCI System Interaction Efficiency: Design Recommendations for Shape of Visual Stimuli and Number of Auxiliary Stimuli;International Journal of Human–Computer Interaction;2023-03-14

3. Convolutional denoising autoencoder based SSVEP signal enhancement to SSVEP-based BCIs;Microsystem Technologies;2019-10-14

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