Cite

Approximate entropy and support vector machines for electroencephalogram signal classification.

MLA

Zhen Zhang, et al. “Approximate Entropy and Support Vector Machines for Electroencephalogram Signal Classification.” Neural Regeneration Research, vol. 8, no. 20, July 2013, pp. 1844–52. EBSCOhost, https://doi.org/10.3969/j.issn.1673-5374.2013.20.003.



APA

Zhen Zhang, Yi Zhou, Ziyi Chen, Xianghua Tian, Shouhong Du, & Ruimei Huang. (2013). Approximate entropy and support vector machines for electroencephalogram signal classification. Neural Regeneration Research, 8(20), 1844–1852. https://doi.org/10.3969/j.issn.1673-5374.2013.20.003



Chicago

Zhen Zhang, Yi Zhou, Ziyi Chen, Xianghua Tian, Shouhong Du, and Ruimei Huang. 2013. “Approximate Entropy and Support Vector Machines for Electroencephalogram Signal Classification.” Neural Regeneration Research 8 (20): 1844–52. doi:10.3969/j.issn.1673-5374.2013.20.003.