Frequency Peak Features for Low-Channel Classification in Motor Imagery 
Paradigms

Jayaram, Vinay; Schölkopf, Bernhard; Grosse-Wentrup, Moritz

doi:10.1109/NER.2017.8008355

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Frequency Peak Features for Low-Channel Classification in Motor Imagery Paradigms

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Schölkopf, Bernhard
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Grosse-Wentrup, Moritz
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Jayaram, V., Schölkopf, B., & Grosse-Wentrup, M. (2017). Frequency Peak Features for Low-Channel Classification in Motor Imagery Paradigms. In 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER 2017) (pp. 321-324). Piscataway, NJ: IEEE. doi:10.1109/NER.2017.8008355.

引用: https://hdl.handle.net/21.11116/0000-000A-ABC3-9

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