Classification of familiarity based on cross-correlation features between EEG and music-Reference-Cited by-同舟云学术

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Classification of familiarity based on cross-correlation features between EEG and music

Published:2017-07 Issue: Volume: Page:
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Container-title:2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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Author:

Kumagai Yuiko,Arvaneh Mahnaz,Okawa Haruki,Wada Tomoya,Tanaka Toshihisa

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8026122/8036736/08037458.pdf?arnumber=8037458

Cited by 5 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. Examining Brainwave Patterns in Response to Familiar Music: An EEG and Machine Learning Approach;SoutheastCon 2024;2024-03-15

2. Seizure detection by analyzing the number of channels selected by cross-correlation using TUH EEG seizure corpus;18th International Symposium on Medical Information Processing and Analysis;2023-03-06

3. A Comparative Study on Prominent Connectivity Features for Emotion Recognition From EEG;IEEE Access;2023

4. Hardware Acceleration of EEG-Based Emotion Classification Systems: A Comprehensive Survey;IEEE Transactions on Biomedical Circuits and Systems;2021-06

5. Directed EEG Functional Connectivity Features to Reveal Different Attention Indexes Using Hierarchical Clustering;IEEE Access;2021

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