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Deep Learning Recurrent Neural Network for Concussion Classification in Adolescents Using Raw Electroencephalography Signals: Toward a Minimal Number of Sensors
Research article (Frontiers in Human Neuroscience, 2021) · cited 11× · AI/ML
Deep Learning Recurrent Neural Network for Concussion Classification in Adolescents Using Raw Electroencephalography Signals: Toward a Minimal Number of Sensors
Summary
Deep Learning Recurrent Neural Network for Concussion Classification in Adolescents Using Raw Electroencephalography Signals: Toward a Minimal Number of Sensors is a scholarly article[1].
Key Facts
Deep Learning Recurrent Neural Network for Concussion Classification in Adolescents Using Raw Electroencephalography Signals: Toward a Minimal Number of Sensors's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Deep Learning Recurrent Neural Network for Concussion Classification in Adolescents Using Raw Electroencephalography Signals: Toward a Minimal Number of Sensors. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-recurrent-neural-network-for-concussion-classification-in-adolescents-using-raw-electroencephalography-sig
MLA“Deep Learning Recurrent Neural Network for Concussion Classification in Adolescents Using Raw Electroencephalography Signals: Toward a Minimal Number of Sensors.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-recurrent-neural-network-for-concussion-classification-in-adolescents-using-raw-electroencephalography-sig.
BibTeX@misc{4ortxyz_deep-learning-recurrent-neural-network-for-concussion-classification-in-adolescents-using-raw-electroencephalography-sig_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep Learning Recurrent Neural Network for Concussion Classification in Adolescents Using Raw Electroencephalography Signals: Toward a Minimal Number of Sensors}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-recurrent-neural-network-for-concussion-classification-in-adolescents-using-raw-electroencephalography-sig}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep Learning Recurrent Neural Network for Concussion Classification in Adolescents Using Raw Electroencephalography Signals: Toward a Minimal Number of Sensors — https://4ort.xyz/entity/deep-learning-recurrent-neural-network-for-concussion-classification-in-adolescents-using-raw-electroencephalography-sig (retrieved 2026-05-24)