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姓名: 宋智斌
性別:
英文名: ZHIBIN SONG
人才稱號:
職稱: 副教授
職務: 專業: 機械電子工程
所在機構: 現代機構學與機器人學中心 個人主頁:
郵箱: songzhibin@tju.edu.cn 辦公地點: 天津市津南區雅觀路135號37樓
傳真: 辦公電話: 022-27406136
主要學歷: 2009.4-2012.3,日本香川大學 智能機械系統工程系 工學博士
2006.10-2009.3 日本香川大學 智能機械系統工程系 工學碩士

主要學術經歷: 2013.8 至今,天津大學機械工程學院 講師
2012.4-2013.3,日本香川大學 智能機械系統工程系 博士研究員

主要研究方向: 上肢康復機器人,人機交互,生體電信號處理

主要講授課程:

主要學術兼職: IEEE 協會會員
國際期刊 Journal of Medical and Biological Engineering 審稿人

主要學術成就:

主要科研項目:

代表性論著: [1]Zhibin Song, Shuxiang Guo and Yili Fu, Development of Upper Extremity Motor Function Rehabilitation and Assessment System, International Journal of Mechatronics and Automation. Vol. 1(1), pp. 19-28, 2011.(EI)
[2]Zhibin Song, Shuxiang Guo, Muye Pang, Songyuan,Zhang, Nan Xiao, Baofeng Gao and Liwei Shi, Implementation of Active Training Using an Upper-Limb Exoskeleton Rehabilitation Device in Elbow Joint,Journal of Medical and Biological Engineering(JMBE), Inpress, January, 2013. (SCI)
[3]Zhibin Song, Shuxiang Guo, Nan Xiao, Baofeng Gao and Liwei Shi, Sensor-based detection of human upper limb motion for human-machine synchronization control for Active Rehabilitation. Sensors. Vo. 32, No. 5, pp. 323-330, 2012 (SCI)
[4]Zhibin Song and Shuxiang Guo, Design Process of a Novel Exoskeleton Rehabilitation Device and Implementation of Bilateral Upper Limb Motor Movement, Journal of Medical and Biological Engineering. Vol. 32, No. 5, pp. 323-330, 2012. (SCI).
[5]Muye Pang, Shuxiang Guo, Zhibin Song, Study on the sEMG driven Upper Limb Exoskeleton Rehabilitation Device in Bilateral Rehabilitation, Journal of Robotics and Mechatronics, Vol. 24, No. 4, pp. 585-594, 2012.
[6]Liwei Shi, Shuxiang Guo, Maoxun Li, Shilian Mao, Nan Xiao, Baofeng Gao, Zhibin Song and Kinji AsakaA Novel Soft Biomimetic Microrobot with Two Motion Attitudes, Sensors, Vol. 12, No. 12, pp. 16732-16758, 2012. (SCI)
[7]Shuxiang Guo and Zhibin Song, A Novel Motor Function Training Assisted System for Upper Limbs Rehabilitation, Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.1025-1030, 2009.(EI)
[8]Zhibin Song, Shuxiang Guo, Study on Impedance Generation Using an Exoskeleton Device for Upper-Limb Rehabilitation, Proceedings of 2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), pp.281-286. Hamburg, Germany, September 13-15, 2012. (EI)
[9]Zhibin Song, Shuxiang Guo, Muye Pang and Songyuan Zhang Recognition of Motion of Human Upper Limb using SEMG in Real Time: Towards Bilateral Rehabilitation Proceedings of 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO 2012), pp.1404-1408, Dec. 11-Dec. 14, Guangzhou, China, 2012. (EI)
[10]Zhibin Song, Shuxiang Guo, Muye Pang, and Songyuan Zhang, Study on Recognition of Upper Limb Motion Pattern Using surface EMG signals for Bilateral Rehabilitation. Proceedings of 23rd 2012 International Symposium on Micro-NanoMechatronics and Human Science, pp.425-430, Nov. 4-Nov. 7, Nagoya, Japan, 2012. (EI)
[11]Zhibin Song and Shuxiang Guo, Implementation of Self-rehabilitation for Upper Limb based on a Haptic Device and an Exoskeleton Device, Proceedings of 2011 IEEE International Conference on Mechatronics and Automation, pp.1911-1916, 2011. (EI)
[12]Zhibin Song and Shuxiang Guo, Development of a Real-time Upepr Limb’s Motion Tracking Exoskeleton Device for Active Rehabilitation Using an Inertia Sensor, Proceedings of the 2011 World Conference on Intelligent Control and Automation, pp.351-356. 2011. (EI)
[13]Zhibin Song and Shuxiang Guo, Development of a New Compliant Exoskeleton Device for Elbow Joint Rehabilitation, Proceedings of the 2011 IEEE International Conference on Complex Medical, pp. 647-651, 2011. (EI)
[14]Zhibin Song, Shuxiang Guo, Muye Pang and Songyuan Zhang , ULERD-based Active Training for Upper Limb Rehabilitation, Proceedings of 2012 IEEE International Conference on Mechatronics and Automation, pp.569-574, August 5-8, Chengdu, China, 2012. (EI)
[15]Zhibin Song and Shuxiang Guo, Force Sensor-based Platform for Upper-limb Motor Function for Stroke Assessment, Proceedings of the 2010 IEEE International Conference on Robotics and Biomimetics, pp.58-63, 2010. (EI)

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