Publications

Japanese

Journal Papers

  1. 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, 2024 (accepted).
  2. 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, e33135, Jun 2024. [sciencedirect.com]
  3. 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. [IEEE Xplore]
  4. 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, Jan 2024. [IEEE Xplore]
  5. 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. [springer.com]
  6. 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 (+Equal contribution, SCI, IF=4,996). [nature.com]
  7. 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 (SCI, IF=4,996) [nature.com].
  8. 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, no. 1, 18045, 2022. (+Equal contribution, SCI, IF=4,996) [nature.com]
  9. 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, 2022. (SCI, IF=3.301) [IEEE Xplore]
  10. 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, 2022. (SCI, IF=4.538) [IEEE Xplore]
  11. 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, 2022. (SCI, IF = 3.042) [springer.com]
  12. 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, 2021. (SCI, IF = 6.954) [ScienceDirect] [arxiv]
  13. 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, 2021. (SCI, IF = 3.998) [nature.com]
  14. 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, 2021. (SCI, IF = 4.491) [IEEE Xplore] [arxiv]
  15. 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, 549, 2021. (SCI, IF = 3.998) [nature.com]
  16. 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, 2021. (SCI, IF = 3.998) [nature.com]
  17. 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, 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, 2020. [J-STAGE]
  18. 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, 2020. (SCI, IF = 3.998) [nature.com]
  19. 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, 59642, 2020. (SCI, IF = 3.876) [J-STAGE]
  20. 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, 2020. (SCI, IF = 3.998) [nature.com]
  21. 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, 2020. (SCI, IF = 4.011) [nature.com]
  22. 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, 2020. (SCI, IF = 4.098) [IEEE Xplore]
  23. Toshio Tsuji, Shota Nakashima, Hideaki Hayashi, Zu Soh, Akira Furui, Taro Shibanoki, Keisuke Shima, Koji Shimatani, “Markerless Measurement and Evaluation of General Movements in Infants”, Scientific Reports, vol. 10, 1422, Jan 2020 (SCI, IF = 4.011) [nature.com]
  24. 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. (SCI, IF = 4.491) [IEEE Xplore] [arxiv]
  25. 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. (SCI, IF = 19.4) [sciencemag.org]
  26. 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. (SCI, IF = 3.577) [IEEE Xplore]
  27. 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. (SCI, IF = 2.806) [plos.org]

Review Articles

  1. Toshio Tsuji and Akira Furui, “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. [IEICE]
  2. Toshio Tsuji, Taro Shibanoki, Go Nakamura, 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. [J-STAGE]
  3. Toshio Tsuji, Akira Furui, Go Nakamura, “Electromyographic Interface Technology and Robotic Arm Prostheses”, Journal of the Japan Society for Precision Engineering, vol. 83, no. 11, pp. 1010–1013, 2017. [J-STAGE]

Peer-Reviewed International Conference Proceedings

  1. 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. [arxiv]
  2. 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.
  3. 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), Ha Long, Vietnam, Jan 8–11, 2024. [IEEE Xplore]
  4. 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%). [IEEE Xplore] [arxiv]
  5. 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, Sydney, Australia, Jul 24–27, 2023. [IEEE Xplore] [arxiv]
  6. 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”, Proceedigns of the 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), pp. 753-762, 2022. (+Equal contribution, acceptance rate = 31%) [Springer] [arxiv]
  7. Satoshi Miyamoto, Zu Soh, Shigeyuki Okahara, Akira Furui, Keijiro Katayama, Taiichi Takasaki, Shinya Takahashi, 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 (EMBC’22),pp. 617–620, 2022. [IEEE Xplore]
  8. 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, 2022. [IEEE Xplore]
  9. 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 (EMBC’21), pp. 6215–6219, Virtual Conference due to COVID-19, Nov 1–5, 2021. [IEEE Xplore]
  10. 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 (EMBC’21), pp. 6982–6986, Virtual Conference due to COVID-19, Nov 1–5, 2021. [IEEE Xplore]
  11. 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 (EMBC’21), pp. 5832–5836, Virtual Conference due to COVID-19, Nov 1–5, 2021. [IEEE Xplore] [arxiv]
  12. 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 (EMBC’21), pp. 5415–5418, Virtual Conference due to COVID-19, Nov 1–5, 2021. [IEEE Xplore]
  13. 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–June 5, 2021. [IEEE Xplore] [arxiv]
  14. 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 (EMBC’20), pp. 3118–3121, EMBS Virtual Academy, July 20-24, 2020. [IEEE Xplore]
  15. 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 (EMBC’19), pp. 1948–1951, Berlin, Germany, July 23-27, 2019. [IEEE Xplore]
  16. 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 (EMBC’18), pp. 5216–5219, Honolulu, HI, USA, July 17–21, 2018. [IEEE Xplore]
  17. 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.
  18. 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. [dl.acm.org]
  19. 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 (EMBC’17), pp.2514–2517, Jeju Island, Korea, July 11–15, 2017. [IEEE Xplore]

Invited Talks

  1. Akira Furui, Tomoyuki Akiyama, and Toshio Tsuji, “A non-Gaussian EEG model focusing on stochastic amplitude fluctuation for automatic epileptic seizure detection”, The 51st Annual Meeting of the Japanese Society of Clinical Neuropsysiology, Symposium, SP25-4, Sendai International Center/WEB, Dec 16–18, 2021.
  2. Toshio Tsuji, Zu Soh, and Akira Furui, “KANSEI monitoring by peripheral vascular stiffness: correlation analysis with brain activity”, Center of KANSEI Innovation Nurturing Mental Wealth (KANSEI COI), Joint Report Meeting of the Three Centers, Dec 9, 2020.
  3. Toshio Tsuji, Zu Soh, and Akira Furui, “KANSEI monitoring by peripheral vascular stiffness: toward non-invasive estimation of sympathetic nerve activity”, Center of KANSEI Innovation Nurturing Mental Wealth (KANSEI COI), Joint Report Meeting of the Three Centers, Dec 5, 2020.
  4. Akira Furui and Toshio Tsuji，”A variance distribution model of surface EMG signals and related application to Biological fluctuation estimation”，The 36th Annual Conference of Japanese Society for Physiological Psychology and Psychophysiology, Open Symposium, May 26–27, 2018.
  5. 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, March 29–30, 2018.

Patents

  1. Toshio Tsuji, Akira Furui, Shumma Jomyo, Tomoyuki Tsunoda, and Tatsuhiko Matsumoto, “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).
  2. Toshio Tsuji, Akira Furui, Zu Soh, Toshifumi Muneyasu, Takafumi Sasaoka, and Shigeto Yamawaki, “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).
  3. Toshio Tsuji, Akira Furui, Zu Soh, Toshiki Sakagawa, Takafumi Sasaoka, Shigeto Yamawaki, Masao Yoshizumi, Noboru Saeki, Ryuji Nakamura, and Yoshiyuki Okada, “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).
  4. Toshio Tsuji, Akira Furui, Zu Soh, Ryota Onishi, and Tomoyuki Akiyama, “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).
  5. Toshio Tsuji, Yuichi Kurita, Hideaki Hayashi, and Akira Furui, “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).