教育背景
工作经历
教授课程
专利与奖励
出版信息
科研活动
基本信息
Oluwarotimi Williams SAMUEL男硕导中国科学院深圳先进技术研究院
电子邮件： samuel@siat.ac.cn
通信地址： 深圳市南山区西丽深圳大学城学苑大道1068号
邮政编码：
招生信息
招生专业
081104-模式识别与智能系统招生方向
模式识别与智能系统，人机接口，机器学习康复机器人，生物医学信号处理与控制教育背景
2014-09--2018-01中国科学院大学博士2011-01--2014-04Federal University of Technology硕士2005-10--2009-02Kogi State University学士工作经历
工作简历
2020-01~现在,中国科学院深圳先进技术研究院,副研究员2018-01~2020-01,中国科学院深圳先进技术研究院,博士后教授课程
模式识别专利与奖励
奖励信息
（1） 优秀青年创新基金, 研究所（学校）, 2019专利成果
（ 1 ） 实验用假肢接受腔装置, 发明, 2019, 第 5 作者, 专利号: CN1.3出版信息
发表论文
（1）Towards Resolving the Co-existing Impacts of Multiple Dynamic Factors on the Performance of EMG-Pattern Recognition based Prostheses,Computer Methods and Programs in Biomedicine,2020,第1作者（2）A new technique for the prediction of heart failure risk driven by hierarchical neighborhood component-based learning and adaptive multi-layer networks,Future Generation Computer Systems,2019,第1作者（3）Intelligent EMG pattern recognition control method for upper-limb multifunctional prostheses: advances, current challenges, and future prospects,IEEE Access,2019,第1作者（4）Pattern recognition of electromyography signals based on novel time domain features for amputees,Computers & Electrical Engineering, Elsevier,2018,第1作者（5）Multi-technique object tracking approach-A reinforcement paradigm,Computers & Electrical Engineering,2018,第1作者（6）Adaptive context aware decision computing paradigm for intensive health care delivery in smart cities—A case analysis,Sustainable Cities and Society,2018,通讯作者（7）Resolving the adverse impact of mobility on myoelectric pattern recognition in upper-limb multifunctional prostheses,Computers in Biology and Medicine,2017,第1作者（8）An integrated decision support system based on ANN and Fuzzy_AHP for heart failure risk prediction,Expert Systems With Applications (ESWA),2017,第1作者（9）Towards efficient decoding of multiple classes of motor imagery limb movements based on EEG spectral and time domain descriptors,Journal of Medical Systems,2017,第1作者（10）A Motion- Classification Strategy Based on sEMG-EEG Signal Combination for Upper-Limb Amputees,Journal of NeuroEngineering and Rehabilitation,2017,第1作者发表著作
（1）Activity recognition based on pattern recognition of myoelectric signals for rehabilitation,Springer,2017-08,第1作者（2）Computational Intelligence enabling the development of efficient clinical decision support systems: Case Study of Heart Failure,Elsevier,2018-06,第1作者（3）Realizing Efficient EMG-Based Prosthetic Control Strategy,Springer,2019-10,第2作者科研活动
科研项目
（ 1 ） Study on Motor Dysfunction Restoration following Severe Impairment after Stroke based on Non-Invasive Multimodal Closed-Loop Approach, 主持,国家级,2019-01--2020-12（ 2 ） Decoding of multiple-classes of targeted limb movement intents for upper extremity motor function restoration, 主持,部委级,2019-01--2020-12参与会议
（1）Spatio-Temporal Based Descriptor for Limb Movement-Intent Characterization in EMG-Pattern Recognition System2019-07-23（2）Intelligently Optimized Pattern Recognition-basedMethods for Upper-Limb Motor Function Restoration特邀报告2019-05-16（3）Determining the Optimal Window Parameters for Accurate and Reliable Decoding of Multiple Classes of Upper Limb Motor Imagery Tasks2018-10-25（4）A Novel Time-Domain Descriptor for Improved Prediction of Upper Limb Movement Intent in EMG-PR System2018-07-17（5）Motor Imagery Classification of Upper Limb Movements Based on Spectral Domain Features of EEG Patterns2017-07-11（6）Examining the Effect of Subjects’ Mobility on Upper-Limb Motion Identification Based on EMG-Pattern Recognition2016-07-20（7）A Hybrid Non-Invasive Method for the Classification of Amputee’s Hand and Wrist Movements2015-10-09（8）Upper Extremity Function Restoration using Advanced Rehabilitation Technology2015-07-012013 © 中国科学院大学，网络信息中心.
