田中　聡久

Professional Career

経歴

2000/04-2002/09 : 日本学術振興会　特別研究員
2002/10-2004/03 : 独立行政法人理化学研究所・脳科学総合研究センター　研究員
2004/3 - 現在 : 独立行政法人理化学研究所・脳科学総合研究センター　客員研究員
2004/4 - 2006/3 : 東京農工大学　工学研究院　講師
2006/4 - 2018/9 : 東京農工大学　工学研究院　工学研究院 先端電気電子部門　准教授
2018/10 - 現在 : 東京農工大学　工学研究院　先端電気電子部門　教授

Academic Degrees

学位

2000年　修士（工学）東京工業大学
2002年　博士（工学）東京工業大学

Research Interests

キーワード

信号処理、生体信号情報学、脳神経科学・工学

Publications

論文

• Yamamoto, Maria Sayu, Khadijeh Sadatnejad, Toshihisa Tanaka, Md. Rabiul Islam, Frédéric Dehais, Yuichi Tanaka, and Fabien Lotte. “Modeling Complex EEG Data Distribution on the Riemannian Manifold toward Outlier Detection and Multimodal Classification.” IEEE Transactions on Biomedical Engineering, 2023, 71: 377–387, 2024, doi: 10.1109/TBME.2023.3295769

• X. Zhao, J. Solé-Casals, H. Sugano, and T. Tanaka, “Seizure onset zone classification based on imbalanced iEEG with data augmentation,” J. Neural Eng., Nov. 2022.19 (6), 065001

• Xuyang Zhao, Qibin Zhao, Toshihisa Tanaka, Jordi Sole-Casal,s Guoxu Zhou, Takumi Mitsuhashi, Hidenori Sugano, Noboru Yoshida, and Jianting Cao, “Classification of the Epileptic Seizure Onset Zone Based on Partial Annotation,” Cogn Neurodyn (2022) DOI: 10.1007/s11571-022-09857-4

• Md. Rabiul Islam, Xuyang Zhao, Yao Miao, Hidenori Sugano, and Toshihisa Tanaka, “Epileptic seizure focus detection from interictal electroencephalogram: a survey,” Cognitive Neurodynamics, 18 May 2022, DOI: 10.1007/s11571-022-09816-z

• M. Nakanishi, Y. Tanji and T. Tanaka, Waveform-Coded Steady-State Visual Evoked Potentials for Brain-Computer Interfaces, IEEE Access, vol. 9, pp. 144768-144775, 2021.

• S. Ahmadi-Asl, C. S. Caiafa, A. Cichocki, A.-H. Phan, T. Tanaka, I. Oseledets, and J. Wang, Cross Tensor Approximation Methods for Compression and Dimensionality Reduction, IEEE Access, vol. 9, pp. 150809-150838, 2021

• Bonci, A.; Fiori, S.; Higashi, H.; Tanaka, T.; Verdini, F. An Introductory Tutorial on Brain–Computer Interfaces and Their Applications. Electronics 2021, 10, 560. https://doi.org/10.3390/electronics10050560
• Akter Most. Sheuli, Islam Md. Rabiul, Toshihisa Tanaka, Yasushi Iimura, Takumi Mitsuhashi, Hidenori Sugano, Duo Wang, Molla Md. Khademul Islam, “Statistical features in high-frequency bands of interictal intracranial electroencephalogram work efficiently in identifying the epileptic seizure onset zone,” Entropy 22, no. 12: 1415, 2020
• Molla, M.K.I.; Hassan, K.M.; Islam, M.R.; Tanaka, T. “Graph eigen decomposition-based feature-selection method for epileptic seizure detection using electroencephalography,” Sensors, August 2020, 20, 4639.
• T. Wada, K. Fukumori, T. Tanaka, and S. Fiori, “Anisotropic Gaussian kernel adaptive filtering by Lie-group dictionary learning,” PLoS ONE 15(8): e0237654, Aug. 2020
• Md. K. I. Molla, A. Al Shiam, Md. R. Islam, and T. Tanaka, “Discriminative feature selection based motor imagery classification using EEG signal,” IEEE Access, vol. 8, pp. 98255-98265, 2020
• Most. Sheuli Akter, Md. Rabiul Islam, Yasushi Iimura, Hidenori Sugano, Kosuke Fukumori, Duo Wang, Toshihisa Tanaka, Andrzej Cichocki, “Multiband entropy-based feature-extraction method for automatic identification of epileptic focus based on high-frequency components in interictal iEEG,” Scientific Reports.10.1 doi: https://doi.10.1038/s41598-020-62967-z
• A. Sakiyama, Y. Tanaka, T. Tanaka, and A. Ortega,”Eigendecomposition-free sampling set selection for graph signals,” IEEE Trans. on Signal Processing, 2019 67.10.2679-2692
• Md R. Islam, T. Tanaka, and Md K. I. Molla, “Multiband tangent space mapping and feature selection for classification of EEG during motor imagery,” Journal of Neural Engineering, vol. 15, issue 4, Aug. 2018
• Md K. I. Molla, N. Morikawa, Md R. Islam, and T. Tanaka, “Data-adaptive spatiotemporal ERP cleaning for single-trial BCI implementation,” IEEE Trans. Neural Systems and Rehabilitation Eng., vol.26, no.7, pp.1334-1344, July 2018
• Y. Zhang, E. Yin, F. Li, Y. Zhang, T. Tanaka, Q. Zhao, Y. Cui, P. Xu, D. Yao, D. Guo, “Two-stage frequency recognition method based on correlated component analysis for SSVEP-based BCI,” IEEE Trans. Neural Systems and Rehabilitation Eng., vol.26, no.7, pp.1314–1322, July 2018.
• Y. Zhang, D. Guo, F. Li, E. Yin, Y. Zhang, P. Li, Q. Zhao, T. Tanaka, D. Yao, and P. Xu,“Correlated component analysis for enhancing the performance of SSVEP-based brain-computer interface,” IEEE Trans. Neural Systems and Rehabilitation Eng., vol. 26, no. 5, pp. 948-956, May 2018.