Latest News

Three Papers Accepted at SII2026

Papers by Itsuki Yazawa (second-year master's student), Jun Masaki (first-year master's student), and Yifan Liang (first-year master's student) have been accepted for presentation at the international conference 2026 IEEE/SICE International Symposium on System Integration (SII2026), to be held in Cancun, Mexico in January 2026. - Itsuki Yazawa and Akira Furui, “VAE-based synthetic EMG generation with mix-consistency loss for recognizing unseen motion combinations”, Proceedings of the 2026 IEEE/SICE International Symposium on System Integration (SII), Cancun, Mexico, Jan 11–14, 2026. - Jun Masaki, Ariaki Higashi, Naoko Shinagawa, Kazuhiko Hirata, Yuichi Kurita, and Akira Furui, “Movement-specific analysis for FIM score classification using spatio-temporal deep learning”, Proceedings of the 2026 IEEE/SICE International Symposium on System Integration (SII), Cancun, Mexico, Jan 11–14, 2026. - Yifan Liang, Natsu Suyama, Yuki Ishizuka, Takio Kurita, Kazuko Tajiri, and Akira Furui, “Graph neural networks enhance CTRCD detection from 12-lead ECG by modeling inter-lead relationships: a preliminary study”, Proceedings of the 2026 IEEE/SICE International Symposium on System Integration (SII), Cancun, Mexico, Jan 11–14, 2026. Conference information: [https://sice-si.org/SII2026/](https://sice-si.org/SII2026/ "https://sice-si.org/SII2026/")

July 7, 2025

Research

Paper Accepted by IEEE Transactions on Neural Systems and Rehabilitation Engineering

We are excited to announce that the following paper by Seitaro Yoneda (doctoral student) as the first author has been accepted by [IEEE Transactions on Neural Systems and Rehabilitation Engineering](https://www.embs.org/tnsre/)! Seitaro Yoneda and Akira Furui [**Adaptive EMG Pattern Classification via Probabilistic Knowledge Transfer with Scale Mixture-Based Bayesian Sequential Learning**](https://ieeexplore.ieee.org/document/11079723) IEEE Transactions on Neural Systems and Rehabilitation Engineering (accepted). This research proposes a novel adaptive method for EMG-based motion recognition that addresses temporal signal variations caused by muscle fatigue and electrode shift. By combining a scale mixture classification model (SMCM) with Bayesian sequential self-training (BSST), the proposed approach can continuously adapt to signal changes without storing historical data. Evaluation experiments, including a 30-day long-term study, demonstrated superior performance in both classification accuracy and confidence estimation compared to conventional methods. This is Yoneda's first international journal paper and will form part of his doctoral dissertation in the future.

April 8, 2025

Research

Four Papers Accepted at EMBC 2025

Papers by Xinyue Niu (doctoral student), Itsuki Yazawa (second-year master's student), Rina Tazaki (first-year master's student), and Natsu Suyama (first-year master's student) have been accepted to the 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2025), the world's largest international conference in the field of biomedical engineering. The conference will be held at the Bella Center in Copenhagen, Denmark, in July 2025. - Xinyue Niu and Akira Furui, "Towards Cross-Subject EMG Pattern Recognition via Dual-Branch Adversarial Feature Disentanglement", Proceedings of the 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Copenhagen, Denmark, Jul 14–17, 2025. - Itsuki Yazawa, Seitaro Yoneda, and Akira Furui, "Recognition of Unseen Combined Motions via Convex Combination-based EMG Pattern Synthesis for Myoelectric Control", Proceedings of the 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Copenhagen, Denmark, Jul 14–17, 2025. - Rina Tazaki, Tomoyuki Akiyama, and Akira Furui, "EEG-Based Inter-Patient Epileptic Seizure Detection Combining Domain Adversarial Training with CNN-BiLSTM Network", Proceedings of the 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Copenhagen, Denmark, Jul 14–17, 2025. - Natsu Suyama, Akira Furui, Takio Kurita, and Kazuko Tajiri, "Multi-scale Feature Learning with CNN-RNN-Attention Framework for ECG-based Cancer Therapy-Related Cardiac Dysfunction Detection", Proceedings of the 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Copenhagen, Denmark, Jul 14–17, 2025. Conference Information: [https://embc.embs.org/2025/](https://embc.embs.org/2025/)

October 19, 2024

Research

Paper Accepted by IEEE Access

The following paper proposing a novel epileptic seizure detection method based on EEG has been accepted by IEEE Access. Akira Furui, Ryota Onishi, Tomoyuki Akiyama, and Toshio Tsuji **Epileptic seizure detection using a recurrent neural network with temporal features derived from a scale mixture EEG model** IEEE Access (accepted). This research extends the master's thesis work of Mr. Ryota Onishi, an alumnus of the Biological Systems Engineering Laboratory at the Faculty of Engineering. We demonstrated that epileptic seizures can be detected with high accuracy by evaluating EEG amplitude and non-Gaussianity using a probabilistic model while considering temporal dynamics with an RNN.

April 16, 2024

Research

Two Papers Accepted at EMBC 2024

Papers by Seitaro Yoneda and Takeshi Yoshidomi (both second-year master's students) have been accepted to the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2024), the world's largest international conference in the field of biomedical engineering. The conference will be held at Disney's Coronado Springs in Florida, USA, in July 2024. - Seitaro Yoneda and Akira Furui, "Inter-Subject Variance Transfer Learning for EMG Pattern Classification Based on Bayesian Inference", Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC2024), Orlando, Florida, USA, Jul 15–20, 2024. - Takeshi Yoshidomi, Shinji Kume, Hiroaki Aizawa, and Akira Furui, "Classification of Carotid Plaque with Jellyfish Sign Through Convolutional and Recurrent Neural Networks Utilizing Plaque Surface Edges", Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC2024), Orlando, Florida, USA, Jul 15–20, 2024 (accepted). Conference Information: [https://embc.embs.org/2024/](https://embc.embs.org/2024/)

August 10, 2023

Research

Paper Accepted by Scientific Reports

The following paper, co-authored with Associate Professor Doi of Nagaoka University of Technology and Ms. Ueda from the Biological Systems Engineering Laboratory, has been accepted by Scientific Reports. Hirokazu Doi\*, Akira Furui\*, Rena Ueda, Koji Shimatani, Midori Yamamoto, Kenichi Sakurai, Chisato Mori, Toshio Tsuji Spatiotemporal patterns of spontaneous movement in neonates are significantly linked to risk of autism spectrum disorders at 18 months old Scientific Reports, vol. 13, no. 1, pp. 1–10, 2023, (\*Equal contribution). [https://www.nature.com/articles/s41598-023-40368-2](https://www.nature.com/articles/s41598-023-40368-2) Through video-based motion analysis and statistical methods, we demonstrated that there is a relationship between neonatal movement characteristics in the first few days after birth and ASD risk at 18 months of age.

June 2, 2023

Research

Paper Accepted at IEEE SMC 2023

The following paper by Seitaro Yoneda (first-year master's student) has been accepted to the IEEE International Conference on Systems, Man, and Cybernetics (SMC2023), the flagship conference of the IEEE Systems, Man, and Cybernetics Society. The conference will be held in Maui, Hawaii, in October 2023. - Seitaro Yoneda and Akira Furui, "Bayesian Approach for Adaptive EMG Pattern Classification via Semi-supervised Sequential Learning", Proceedings of 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Maui, Hawaii, Oct 1–4, 2023 (accepted).

April 13, 2023

Research

Paper Accepted at EMBC 2023

The following paper by Assistant Professor Furui has been accepted to the 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2023), the world's largest international conference in the field of biomedical engineering. The conference will be held in Sydney, Australia, in July 2023. - Akira Furui, "Evaluating Classifier Confidence for Surface EMG Pattern Recognition", 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), accepted.

November 1, 2022

Research

Paper on Infant Movement Analysis Accepted by Scientific Reports

The following paper, co-authored with Associate Professor Doi of Kokushikan University (currently at Nagaoka University of Technology) and Mr. Iijima, an alumnus of the Biological Systems Engineering Laboratory, has been accepted by Scientific Reports. Hirokazu Doi\*, Naoya Iijima\*, Akira Furui\*, Zu Soh, Rikuya Yonei, Kazuyuki Shinohara, Mayuko Iriguchi, Koji Shimatani, and Toshio Tsuji **Prediction of autistic tendencies at 18 months of age via markerless video analysis of spontaneous body movements in 4-month-old infants** Scientific Reports, vol. 12, pp. 18045, 2022 (\*Equal contribution). [https://www.nature.com/articles/s41598-022-21308-y](https://www.nature.com/articles/s41598-022-21308-y)

June 3, 2022

Research

Paper Accepted at MICCAI 2022

The following paper, co-authored with Yuki Hashimoto (second-year master's student) from the Electrical Systems Control Program, Biological Systems Engineering Laboratory, has been accepted to the 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), a top conference in the field of medical image processing. The conference will be held in September 2022. - Yuki Hashimoto\*, Akira Furui\*, Koji Shimatani, Maura Casadio, Paolo Moretti, Pietro Morasso, and Toshio Tsuji, "Automated Classification of General Movements in Infants Using Two-stream Spatiotemporal Fusion Network", 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), accepted \[\*Equal contribution\]