Publications

Japanese

Journal Papers

  1. Haonan Li, Akira Furui, Keiko Ogawa, Tomoyuki Akiyama, and Toshio Tsuji, “Epileptic Seizure Detection from EEG via a Mixture-Component Hidden Markov Scale Mixture Model and Band-Wise Evidence Integration”, Biomedical Signal Processing and Control, vol. 127, 111048, Nov 2026 (SCIE, IF=5.7). [doi.org]
  2. Masaki Matsuoka, Xinyue Niu, and Akira Furui, “Guided Disentangled Representation Learning for Multi-Factor EMG Analysis”, Expert Systems with Applications, vol. 333, 133972, Aug 2026 (SCIE, IF=9.4). [doi.org]
  3. Yusuke Hata, Seiji Hama, Akane Hamago, Shizuko Kiregawa, Yuki Sato, Ziqiang Xu, Akira Furui, Zu Soh, Harutoyo Hirano, Stephanie Sutoko, Tomohiko Mizuguchi, Akihiko Kandori, Takao Hamamoto, Sachio Takeno, Shigeto Yamawaki, and Toshio Tsuji, “Machine Learning-Based Analysis of the Relationship Between Brain Lesion Sites and Swallowing and Cognitive Functions in Stroke Patients”, Scientific Reports, vol. 16, 22029, May 2026. [doi.org]
  4. Rina Tazaki, Tomoyuki Akiyama, and Akira Furui, “EEG-Based Cross-Patient Epileptic Seizure Detection via State-Conditional Domain Adversarial Training and Temporal Modeling”, IEEE Access, vol. 14, pp. 78191–78207, May 2026 (SCIE, IF=3.6). [doi.org]
  5. Naoki Hagiyama, Akira Furui, Harutoyo Hirano, and Toshio Tsuji, “Capturing non-Gaussianity of RR interval distributions based on Gaussian scale mixture representation”, Heliyon, vol. 12, no. 6, e44737, Mar 2026 (SCIE, IF=3.6). [doi.org]
  6. Kenichi Mori, Masanori Morita, Akira Furui, Shumma Jomyo, and Toshio Tsuji, “Motion-Robust Pulse Wave Measurement Using Piezoelectric Film Sensors with Machine Learning-Based Artifact Removal and Regression-Based Validity Assessment”, IEEE Transactions on Instrumentation and Measurement, vol. 75, 4002309, Jan 2026 (SCIE, IF=5.9). [doi.org]
  7. Annik Beaulieu, Catherine Saint-Georges, Isabelle Habgarth, Maeva Da Cunha, Pessia Grywac, Muriel Chauvet, Marie-Christine Laznik, Orna Lev-Enacab, Hugues Pellerin, Salvatore Maria Anzalone, Giulio Bertamini, David Cohen, Midori Yamamoto, Koji Shimatani, Kenichi Sakurai, Chisato Mori, Akira Furui, Toshio Tsuji, Xavier Benarous, and Hirokazu Doi, “Manual and automated assessments of general movements in neonates are associated with early autism risk at 18 months”, Scientific Reports, vol. 16, no. 1, 4358, Jan 2026. [doi.org]
  8. Seitaro Yoneda and Akira Furui, “Adaptive EMG Pattern Classification via Probabilistic Knowledge Transfer with Scale Mixture-Based Bayesian Sequential Learning”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 33, pp. 2750–2763, Jul 2025 (SCIE, IF=5.3). [doi.org]
  9. Miyari Hatamoto, Akira Furui, Keiko Ogawa, and Toshio Tsuji, “Non-Gaussian Modeling of Sleep EEG Based on a Skewed Scale Mixture Structure and its Application to Sleep Stage Analysis”, Biomedical Signal Processing and Control, vol. 109, 107947, Apr 2025. [doi.org]
  10. Hirokazu Doi, Akira Furui, Rena Ueda, Koji Shimatani, Midori Yamamoto, Akifumi Eguchi, Naoya Sagara, Kenichi Sakurai, Chisato Mori, and Toshio Tsuji, “Risk of autism spectrum disorder at 18 months of age is associated with prenatal level of polychlorinated biphenyls exposure in a Japanese birth cohort”, Scientific Reports, vol. 14, 31872, Dec 2024. [doi.org]
  11. 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, vol. 12, pp. 162814–162824, Oct 2024. [doi.org]
  12. Kouki Kubo, Seiji Hama, Akira Furui, Tomohiko Mizuguchi, Zu Soh, Akiko Yanagawa, Akihiko Kandori, Hiroto Sakai, Yutaro Morisako, Yuki Orino, Maho Hamai, Kasumi Fujita, Shigeto Yamawaki, and Toshio Tsuji, “Cognitive screening test for rehabilitation using spatiotemporal data extracted from a digital Trail Making Test part-A”, Heliyon, vol. 10, no. 13, e33135, Jun 2024. [doi.org]
  13. Shumma Jomyo, Akira Furui, Tatsuhiko Matsumoto, Tomomi Tsunoda, and Toshio Tsuji, “Finger-tapping Motion Recognition Based on Skin Surface Deformation Using Wrist-mounted Piezoelectric Film Sensors”, IEEE Sensors Journal, vol. 24, no. 11, pp. 17876–17884, Mar 2024 (SCIE, IF=4.3). [doi.org]
  14. Satoshi Miyamoto, Zu Soh, Shigeyuki Okahara, Akira Furui, Taiichi Takasaki, Keijiro Katayama, Shinya Takahashi, and Toshio Tsuji, “The number of microbubbles generated during cardiopulmonary bypass can be estimated using machine learning from suction flow rate, venous reservoir level, perfusion flow rate, hematocrit level, and blood temperature”, IEEE Open Journal of Engineering in Medicine and Biology, vol. 5, pp. 66–74, Jan 2024. [doi.org]
  15. Genta Tabuchi, Akira Furui, Seiji Hama, Akiko Yanagawa, Koji Shimonaga, Ziqiang Xu, Zu Soh, Harutoyo Hirano, and Toshio Tsuji, “Motor-cognitive functions required for driving in post-stroke individuals identified via machine-learning analysis”, Journal of NeuroEngineering and Rehabilitation, vol. 20, no. 1, 139, Oct 2023 (SCIE, IF=5.1). [doi.org]
  16. Hirokazu Doi, Akira Furui, Rena Ueda, Koji Shimatani, Midori Yamamoto, Kenichi Sakurai, Chisato Mori, and 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, 13869, Aug 2023 (SCIE, IF=4.997). [doi.org]
  17. Yasutaka Umayahara, Zu Soh, Akira Furui, Kiyokazu Sekikawa, Takeshi Imura, Akira Otsuka, and Toshio Tsuji, “Cough sound-based estimation of vital capacity via cough peak flow using artificial neural network analysis”, Scientific Reports, vol. 13, 8461, May 2023 (SCIE, IF=4.997). [nature.com]
  18. 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, 18045, Oct 2022 (SCIE, IF=4.997). [doi.org]
  19. Ziqiang Xu, Toshiki Sakagawa, Akira Furui, Shumma Jomyo, Masanori Morita, Masamichi Ando, and Toshio Tsuji, “Beat-to-beat estimation of peripheral arterial stiffness from local PWV for quantitative evaluation of sympathetic nervous system activity”, IEEE Transactions on Biomedical Engineering, vol. 69, no. 9, pp. 2806–2816, Sep 2022 (SCIE, IF=4.538). [doi.org]
  20. Ziqiang Xu, Toshiki Sakagawa, Akira Furui, Shumma Jomyo, Masanori Morita, Masamichi Ando, and Toshio Tsuji, “Toward a robust estimation of respiratory rate using cardiovascular biomarkers: Robustness analysis under pain stimulation”, IEEE Sensors Journal, vol. 22, no. 10, pp. 9904–9913, May 2022 (SCIE, IF=4.325). [doi.org]
  21. Koji Shimonaga, Seiji Hama, Akira Furui, Akiko Yanagawa, Akihiko Kandori, Hirokazu Atsumori, Shigeto Yamawaki, Toshinori Matsushige, and Toshio Tsuji, “Increased cerebrovascular reactivity in selected brain regions after extracranial-intracranial bypass improves the speed and accuracy of visual cancellation in patients with severe steno-occlusive disease: A preliminary study”, Neurosurgical Review, vol. 45, pp. 2257–2268, Jan 2022 (SCIE, IF=3.042). [doi.org]
  22. Tomohisa Nezu, Naohisa Hosomi, Kazumasa Yoshimura, Daisuke Kuzume, Hiroyuki Naito, Shiro Aoki, Yuko Morimoto, Masato Kinboshi, Takeshi Yoshida, Yuji Shiga, Naoto Kinoshita, Akira Furui, Genta Tabuchi, Hiroki Ueno, Toshio Tsuji, and Hirofumi Maruyama, “Predictors of stroke outcome extracted from multivariate linear discriminant analysis or neural network analysis”, Journal of Atherosclerosis and Thrombosis, vol. 29, no. 1, pp. 99–110, Jan 2022 (SCIE, IF=3.876). [doi.org]
  23. Akira Furui, Takuya Igaue, and Toshio Tsuji, “EMG pattern recognition via Bayesian inference with scale mixture-based stochastic generative models”, Expert Systems with Applications, vol. 185, 115644, Dec 2021 (SCIE, IF=6.954). [doi.org]
  24. Toshifumi Muneyasu, Harutoyo Hirano, Akira Furui, Zu Soh, Ryuji Nakamura, Noboru Saeki, Yoshiyuki Okada, Masashi Kawamoto, Masao Yoshizumi, Atsuo Yoshino, Takafumi Sasaoka, Shigeto Yamawaki, and Toshio Tsuji, “Cardiorespiratory Synchronisation and Systolic Blood Pressure Correlation of Peripheral Arterial Stiffness During Endoscopic Thoracic Sympathectomy”, Scientific Reports, vol. 11, 5966, Mar 2021 (SCIE, IF=3.998). [doi.org]
  25. Akira Furui, Ryota Onishi, Akihito Takeuchi, Tomoyuki Akiyama, and Toshio Tsuji, “Non-Gaussianity Detection of EEG Signals Based on a Multivariate Scale Mixture Model for Diagnosis of Epileptic Seizures”, IEEE Transactions on Biomedical Engineering, vol. 68, no. 2, pp. 515–525, Jan 2021 (SCIE, IF=4.491). [doi.org]
  26. 久米 伸治, 松重 俊憲, 濱 聖司, 坂本 繁幸, 岡崎 貴仁, 吉岡 成哲, 川野 伶緒, 川野 晃輔, 古居 彬, and 辻 敏夫, “Jellyfish plaqueの動的解析 ―拍動性血流との関係―”, Neurosonology:神経超音波医学, vol. 33, no. 3, pp. 74–79, Jan 2021. [doi.org]
  27. Satoshi Miyamoto, Zu Soh, Shigeyuki Okahara, Akira Furui, Taiichi Takasaki, Keijiro Katayama, Shinya Takahashi, and Toshio Tsuji, “Neural network-based modeling of the number of microbubbles generated with four circulation factors in cardiopulmonary bypass”, Scientific Reports, vol. 11, 549, Jan 2021 (SCIE, IF=3.998). [doi.org]
  28. Zu Soh, Motoki Matsuno, Masayuki Yoshida, Akira Furui, and Toshio Tsuji, “Measurement of Emotional States of Zebrafish through Integrated Analysis of Motion and Respiration Using Bioelectric Signals”, Scientific Reports, vol. 11, 187, Jan 2021 (SCIE, IF=3.998). [doi.org]
  29. Seiji Hama, Kazumasa Yoshimura, Akiko Yanagawa, Koji Shimonaga, Akira Furui, Zu Soh, Shinya Nishino, Harutoyo Hirano, Shigeto Yamawaki, and Toshio Tsuji, “Relationships between Motor and Cognitive Functions and Subsequent Post-stroke Mood Disorders Revealed by Machine Learning Analysis”, Scientific Reports, vol. 10, 19571, Nov 2020 (SCIE, IF=3.998). [doi.org]
  30. Naoki Kinoshita, Akira Furui, Zu Soh, Hideaki Hayashi, Taro Shibanoki, Hiroki Mori, Koji Shimatani, Yasuko Funabiki, and Toshio Tsuji, “Longitudinal assessment of U-shaped and inverted U-shaped developmental changes in the spontaneous movements of infants via markerless video analysis”, Scientific Reports, vol. 10, 16827, Oct 2020 (SCIE, IF=3.998). [doi.org]
  31. Katsuaki Kawashima, Yasuko Funabiki, Shino Ogawa, Hideaki Hayashi, Zu Soh, Akira Furui, Ayumi Sato, Taiko Shiwa, Hiroki Mori, Koji Shimatani, Haruta Mogami, Yukuo Konishi, and Toshio Tsuji, “Video-based evaluation of infant crawling toward quantitative assessment of motor development”, Scientific Reports, vol. 10, 11266, Jul 2020 (SCIE, IF=4.011). [doi.org]
  32. Masanobu Kittaka, Akira Furui, Hiroto Sakai, Pietro Morasso, and Toshio Tsuji, “Spatiotemporal Parameterization of Human Reaching Movements Based on Time Base Generator”, IEEE Access, vol. 8, pp. 104944–104955, Jun 2020 (SCIE, IF=4.098). [doi.org]
  33. Toshio Tsuji, Shota Nakashima, Hideaki Hayashi, Zu Soh, Akira Furui, Taro Shibanoki, Keisuke Shima, and Koji Shimatani, “Markerless Measurement and Evaluation of General Movements in Infants”, Scientific Reports, vol. 10, 1422, Jan 2020 (SCIE, IF=4.011). [doi.org]
  34. Akira Furui, Hideaki Hayashi, and Toshio Tsuji, “A Scale Mixture-based Stochastic Model of Surface EMG Signals with Variable Variances”, IEEE Transactions on Biomedical Engineering, vol. 66, no. 10, pp. 2780–2788, Oct 2019 (SCIE, IF=4.491). [doi.org]
  35. Akira Furui, Shintaro Eto, Kosuke Nakagaki, Kyohei Shimada, Go Nakamura, Akito Masuda, Takaaki Chin, and Toshio Tsuji, “A Myoelectric Prosthetic Hand with Muscle Synergy-based Motion Determination and Impedance Model-based Biomimetic Control”, Science Robotics, vol. 4, no. 31, eaaw6339, Jun 2019 (SCIE, IF=19.4). [doi.org]
  36. Hideaki Hayashi, Akira Furui, Yuichi Kurita, and Toshio Tsuji, “A variance distribution model of surface EMG signals based on inverse gamma distribution”, IEEE Transactions on Biomedical Engineering, vol. 64, no. 11, pp. 2672–2681, Nov 2017 (SCIE, IF=3.577). [doi.org]
  37. Akira Furui, Hideaki Hayashi, Go Nakamura, Takaaki Chin, and Toshio Tsuji, “An Artificial EMG Generation Model Based on Signal-dependent Noise and Related Application to Motion Classification”, PLOS ONE, vol. 12, no. 6, e0180112, Jun 2017 (SCIE, IF=2.806). [doi.org]

Review Articles

  1. 古居 彬, “5分で分かる!? 有名論文ナナメ読み：Yaroslav Ganin and Victor Lempitsky : Unsupervised Domain Adaptation by Backpropagation”, 情報処理, vol. 66, no. 2, pp. 78–79, 2025.
  2. Toshio Tsuji, Taro Shibanoki, Go Nakamura, and Akira Furui, “Development of Myoelectric Robotic/Prosthetic Hands with Cybernetic Control at the Biological Systems Engineering Laboratory, Hiroshima University”, Journal of Robotics and Mechatronics, vol. 31, no. 1, pp. 27–34, 2019.
  3. 辻 敏夫 and 古居 彬, “In Terms of Robotics : Biomimetic Control of a Five-finger Myoelectric Prosthetic Hand Based on Muscle Synergy Hypothesis”, The journal of the Institute of Electronics, Information and Communication Engineers, vol. 102, no. 8, pp. 768–771, 2019.
  4. 辻 敏夫, 古居 彬, and 中村 豪, “Electromyographic Interface Technology and Robotic Arm Prostheses”, Journal of the Japan Society for Precision Engineering, vol. 83, no. 11, pp. 1010–1013, 2017.

Books

  1. 相澤 宏旭 and 古居 彬, “基礎から学ぶ Python プログラミング”, 培風館, Oct 2025.
  2. 曽 智, 松下 虎弥太, 古居 彬, and 辻 敏夫, “末梢血管粘弾性インデックスに基づく不快臭の感性モデリング”, 感性工学とAI-VRへの展開, 長町三生監修, 海文堂, Oct 2021.

Peer-Reviewed International Conference Proceedings

  1. Seitaro Yoneda, Suguru Kanoga, and Akira Furui, “Generative versus Discriminative Approaches for Class-Incremental Learning of EMG Signals: Effectiveness of Scale Mixture Modeling”, 2026 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Bellevue, WA, USA, Oct 4–7, 2026.
  2. Shuhei Tsukamoto, Sho Okimoto, Masatoshi Kozui, Natsuki Yumoto, and Akira Furui, “Multi-Scale Latent-Space Analysis of Hydraulic Excavator Operation Patterns Using a Variational Autoencoder”, 2026 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Bellevue, WA, USA, Oct 4–7, 2026.
  3. Natsu Suyama, Kazuko Tajiri, Takio Kurita, Yuki Ishizuka, and Akira Furui, “Self-Supervised Representation Learning for ECG-based CTRCD Detection: A Comparative Study of Generative and Discriminative Paradigms”, 53rd Computing in Cardiology, Madrid, Spain, Sep 20–23, 2026.
  4. Rina Tazaki and Akira Furui, “Contrastive Learning for Trial-Robust EMG Pattern Recognition”, 2026 34th European Signal Processing Conference (EUSIPCO), Bruges, Belgium, Aug 29–Sep 4, 2026 (accepted).
  5. Shunya Fukuda, Toshio Tsuji, and Akira Furui, “Hybrid Generative-Discriminative Learning of Scale Mixture Models for EMG Classification”, 48th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Toronto, Canada, Jul 26–30, 2026 (accepted).
  6. Ren Takeuchi and Akira Furui, “Subject-Stratified Meta-Learning for Few-Shot Adaptation in EMG-Based Gesture Recognition”, 48th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Toronto, Canada, Jul 26–30, 2026 (accepted).
  7. 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 2026 IEEE/SICE International Symposium on System Integration (SII), pp. 710–715, Cancun, Mexico, Jan 11–14, 2026. [doi.org]
  8. 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 2026 IEEE/SICE International Symposium on System Integration (SII), pp. 1375–1379, Cancun, Mexico, Jan 11–14, 2026. [doi.org]
  9. Itsuki Yazawa and Akira Furui, “VAE-based synthetic EMG generation with mix-consistency loss for recognizing unseen motion combinations”, Proceedings of 2026 IEEE/SICE International Symposium on System Integration (SII), pp. 1285–1290, Cancun, Mexico, Jan 11–14, 2026. [doi.org]
  10. 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), pp. 1–6, Copenhagen, Denmark, Jul 14–17, 2025. [doi.org]
  11. 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), pp. 1–6, Copenhagen, Denmark, Jul 14–17, 2025. [doi.org]
  12. 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), pp. 1–6, Copenhagen, Denmark, Jul 14–17, 2025. [doi.org]
  13. 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), pp. 1–5, Copenhagen, Denmark, Jul 14–17, 2025. [doi.org]
  14. Rena Ueda, Hirokazu Doi, Akira Furui, Koji Shimatani, Hideaki Hayashi, and Toshio Tsuji, “Discriminative Analysis of Autistic Tendencies at 18 Months of Age Using Eye Gaze Characteristics in 4-, 10-, and 18-month-old Infants”, Proceedings of 2025 IEEE/SICE International Symposium on System Integration (SII), pp. 265–270, Munich, Germany, Jan 21–24, 2025. [doi.org]
  15. Rikuya Yonei, Akira Furui, Hirokazu Doi, Koji Shimatani, Hideaki Hayashi, Midori Yamamoto, Kenichi Sakurai, Chisato Mori, and Toshio Tsuji, “Non-Negative Tensor Factorization of Infant Spontaneous Movements: A Pilot Study for ASD Risk Evaluation of Newborn Infants”, Proceedings of 2025 IEEE/SICE International Symposium on System Integration (SII), pp. 275–280, Munich, Germany, Jan 21–24, 2025. [doi.org]
  16. 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), pp. 1–5, Orlando, Florida, USA, Jul 15–19, 2024. [doi.org]
  17. 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), pp. 1–4, Orlando, Florida, USA, Jul 15–19, 2024. [doi.org]
  18. Shunya Fukuda, Akira Furui, Maro Machizawa, and Toshio Tsuji, “Stochastic Fluctuation in EEG Evaluated via Scale Mixture Model for Decoding Emotional Valence”, Proceedings of 2024 IEEE/SICE International Symposium on System Integration (SII 2024), pp. 567–572, Ha Long, Vietnam, Jan 8–11, 2024. [doi.org]
  19. 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), pp. 3310–3315, Oahu, Hawaii, Oct 1–4, 2023 (acceptance rate = 57%). [doi.org]
  20. Akira Furui, “Evaluating Classifier Confidence for Surface EMG Pattern Recognition”, Proceedings of 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 1–4, Sydney, Australia, Jul 24–27, 2023. [doi.org]
  21. 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”, Proceedings of 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI2022), pp. 753–762, Singapore, Sep 18–22, 2022 (acceptance rate = 31%). [doi.org]
  22. Satoshi Miyamoto, Zu Soh, Shigeyuki Okahara, Akira Furui, Taiichi Takasaki, Keijiro Katayama, Shinya Takahashi, and Toshio Tsuji, “Neural Network-based Estimation of Microbubbles Generated in Cardiopulmonary Bypass Circuit: A Clinical Application Study”, Proceedings of 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC2022), pp. 617–620, Glasgow, Scotland, UK, Jul 11–15, 2022. [doi.org]
  23. Miyari Hatamoto, Akira Furui, Keiko Ogawa, and Toshio Tsuji, “Sleep EEG Analysis Based on a Scale Mixture Model and Spindle Detection”, Proceedings of the 2022 IEEE/SICE International Symposium on System Integration (SII2022), pp. 887–892, Virtual Conference due to COVID-19, Jan 9–12, 2022. [doi.org]
  24. Akira Furui, Tomoyuki Akiyama, and Toshio Tsuji, “A Time-Series Scale Mixture Model of EEG with a Hidden Markov Structure for Epileptic Seizure Detection”, Proceedings of 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2021), pp. 5832–5836, Virtual Conference due to COVID-19, Nov 1–5, 2021. [doi.org]
  25. Ziqiang Xu, Akira Furui, Shumma Jomyo, Toshiki Sakagawa, Masanori Morita, Tsutomu Takai, Masamichi Ando, and Toshio Tsuji, “Pressure-based Detection of Heart and Respiratory Rates from Human Body Surface using a Biodegradable Piezoelectric Sensor”, Proceedings of 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2021), pp. 5415–5418, Virtual Conference due to COVID-19, Nov 1–5, 2021. [doi.org]
  26. Hiroto Sakai, Akira Furui, Seiji Hama, Akiko Yanagawa, Koki Kubo, Yutaro Morisako, Yuki Orino, Maho Hamai, Kasumi Fujita, Tomohiko Mizuguchi, Akihiko Kandori, and Toshio Tsuji, “Pen-point Trajectory Analysis During Trail Making Test Based on a Time Base Generator Model”, Proceedings of 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2021), pp. 6215–6219, Virtual Conference due to COVID-19, Nov 1–5, 2021. [doi.org]
  27. Shumma Jomyo, Akira Furui, Tatsuhiko Matsumoto, Tomomi Tsunoda, and Toshio Tsuji, “A Wearable Finger-Tapping Motion Recognition System Using Biodegradable Piezoelectric Film Sensors”, Proceedings of 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2021), pp. 6982–6986, Virtual Conference due to COVID-19, Nov 1–5, 2021. [doi.org]
  28. Akira Furui, Kosuke Nakagaki, and Toshio Tsuji, “Biomimetic Control of Myoelectric Prosthetic Hand Based on a Lambda-type Muscle Model”, Proceedings of 2021 IEEE International Conference on Robotics and Automation (ICRA), pp. 10484–10490, Xi’an, China & Online, May 30–Jun 5, 2021. [doi.org]
  29. Akira Furui and Toshio Tsuji, “Does the variance of surface EMG signals during isometric contractions follow an inverse gamma distribution?”, Proceedings of 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2020), pp. 3118–3121, Virtual Conference due to COVID-19, Jul 20–24, 2020. [doi.org]
  30. Akira Furui and Toshio Tsuji, “Muscle Fatigue Analysis by Using a Scale Mixture-based Stochastic Model of Surface EMG Signals”, Proceedings of 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2019), pp. 1948–1951, Berlin, Germany, Jul 23–27, 2019. [doi.org]
  31. Akira Furui, Hideaki Hayashi, and Toshio Tsuji, “An EMG pattern classification method based on a mixture of variance distribution models”, Proceedings of 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2018), pp. 5216–5219, Honolulu, HI, USA, Jul 17–21, 2018. [doi.org]
  32. Masanobu Kittaka, Akira Furui, and Toshio Tsuji, “HUVETS: Hiroshima University Virtual EMG Training System for myoelectric hand control with evaluation of motor skills and fatigue in users”, Global Student Innovation Challenge for Assistive Technology (gSIC-AT), The 11th International Convention on Rehabilitation Engineering and Assistive Technology (i-CREATe2017), Kobe International Conference Center, Kobe, Aug 22–24, 2017.
  33. Akira Furui, Hideaki Hayashi, Takaei Kihara, Takahiro Konishi, Yusuke Yoshida, Yuichi Kurita, and Toshio Tsuji, “Virtual Restoration of Down-sampled EMG Signals Using a Stochastic Model”, Proceedings of the 11th International Convention on Rehabilitation Engineering and Assistive Technology (i-CREATe2017), PP5-3, Kobe International Conference Center, Kobe, Aug 22–24, 2017. [doi.org]
  34. Akira Furui, Hideaki Hayashi, Yuichi Kurita, and Toshio Tsuji, “Variance distribution analysis of surface EMG signals based on marginal maximum likelihood estimation”, Proceedings of 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2017), pp. 2514–2517, Jeju Island, Korea, Jul 11–15, 2017. [doi.org]

Invited Talks

  1. 古居 彬, “生体信号の確率的理解とAI応用：医療・福祉への展開”, 第8回広島大学霞連携推進セミナー, 広島大学 霞キャンパス, 2026年2月20日.
  2. 古居 彬, “不確実性を考慮した生体信号認識:実用的インタフェースへの展開”, 計測自動制御学会中国支部 2025年度チュートリアル講演会「人間機械システムの解析・推定・制御」, 広島大学 東広島キャンパス, 2025年12月2日.
  3. 古居 彬, 秋山 倫之, and 辻 敏夫, “振幅の確率的変動に着目した非ガウス脳波モデルとてんかん発作自動検出への応用”, 第51回日本臨床神経生理学会学術大会 シンポジウム, SP25-4, 仙台国際センター／WEB, 2021年12月16日.
  4. 辻 敏夫, 曽 智, and 古居 彬, “末梢血管剛性による感性のモニタリング：脳活動との相関解析”, COI 精神的価値が成長する感性イノベーション拠点（感性COI拠点） 2020年度三拠点合同成果報告会, オンライン, 2020年12月9日.
  5. 辻 敏夫, 曽 智, and 古居 彬, “末梢血管剛性による感性モニタリング：交感神経活動の非侵襲推定を目指して”, COI 精神的価値が成長する感性イノベーション拠点（感性COI拠点） 2019年度三拠点合同成果報告会, リーガロイヤルホテル広島, 2019年12月5日.
  6. 古居 彬 and 辻 敏夫, “表面筋電位の分散分布モデルと生体ゆらぎ評価への応用”, 第36回日本生理心理学会大会 公募シンポジウム, 2018年5月26日.
  7. Akira Furui and Toshio Tsuji, “EMG Interface Technology and Robotic Arm Prostheses”, 7th Hiroshima Conference on Education and Science in Dentistry, Koujin Conference Hall on Kasumi Campus, Hiroshima University, Hiroshima, Japan, Mar 29, 2018.

Patents

  1. 辻 敏夫, 古居 彬, 許 自強, 森田 暢謙, “測定装置”, Japanese Unexamined Patent, Application No. 2022-008023, (submitted on January 21, 2022).
  2. 辻 敏夫, 古居 彬, 城明 舜磨, 角田 知己, 松本 龍彦, “操作装置、および、操作推定方法”, Japanese Unexamined Patent, Application No. 2020-206397, (submitted on December 14, 2020).
  3. 辻 敏夫, 古居 彬, 曽 智, 棟安 俊文, 笹岡 貴史, 山脇 成人, “血管剛性推定方法、血管剛性推定装置及びプログラム”, Japanese Unexamined Patent, Application No. 2020-105880, (submitted on June 19, 2020).
  4. 辻 敏夫, 古居 彬, 曽 智, 坂川 俊樹, 笹岡 貴史, 山脇 成人, 吉栖 正生, 佐伯 昇, 中村 隆治, 岡田 芳幸, “交感神経活動推定装置・交感神経活動推定方法及びプログラム”, Japanese Unexamined Patent, Application No. 2020-027888, (submitted on February 21, 2020).
  5. 辻 敏夫, 曽 智, 古居 彬, 大西 亮太, 秋山 倫之, 竹内 章人, “生体信号解析装置及び生体信号解析方法”, Japanese Unexamined Patent, Application No. 2018-231225, (submitted on December 10, 2018).
  6. 辻 敏夫, 栗田 雄一, 早志 英朗, 古居 彬, “筋電信号処理方法, 装置およびプログラム”, Japanese Unexamined Patent, Application No. 2015-241474, (submitted on December 10, 2015).