Yanjuan Geng - researchr alias

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Viewing Publication 1 - 33 from 33

2023

A Transfer Learning Based Cross-Subject Generic Model for Continuous Estimation of Finger Joint Angles From a New UserYucheng Long, Yanjuan Geng, Chenyun Dai, Guanglin Li 0001. titb, 27(4):1914-1925, April 2023. [doi]

Spasticity assessment with muscle coactivation of elbow flexors during passive stretch in Post-stroke HemiplegiaHui Wang, Yanjuan Geng, Peng Fang, Guanglin Li 0001. embc 2023: 1-4 [doi]

2022

A CNN-Attention Network for Continuous Estimation of Finger Kinematics from Surface ElectromyographyYanjuan Geng, Zhebin Yu, Yucheng Long, Liuni Qin, Ziyin Chen, Yongcheng Li, Xin Guo, Guanglin Li 0001. ral, 7(3):6297-6304, 2022. [doi]

2021

A Deep Learning based Model for Decoding Motion Intent of Traumatic Brain Injured Patients' using HD-sEMG RecordingsMojisola Grace Asogbon, Oluwarotimi Williams Samuel, Ejay Nsugbe, Yazan Ali Jarrah, Olumide Olayinka Obe, Yanjuan Geng, Guanglin Li. metroi 2021: 609-614 [doi]

Towards accurate estimation of cuffless and continuous blood pressure using multi-order derivative and multivariate photoplethysmogram featuresWan-Hua Lin, Fei Chen 0011, Yanjuan Geng, Ning Ji, Peng Fang, Guanglin Li. bspc, 63:102198, 2021. [doi]

A Low-rank Spatiotemporal based EEG Multi-Artifacts Cancellation Method for Enhanced ConvNet-DL's Motor Imagery CharacterizationOluwarotimi Williams Samuel, Mojisola Grace Asogbon, Ejay Nsugbe, Yanjuan Geng, Alberto López Delis, Yazan Ali Jarrah, Oluwagbenga Paul Idowu, Shixiong Chen, Peng Fang, Guanglin Li. embc 2021: 791-794 [doi]

Decoding movement intent patterns based on spatiotemporal and adaptive filtering method towards active motor training in stroke rehabilitation systemsOluwarotimi Williams Samuel, Mojisola Grace Asogbon, Yanjuan Geng, Naifu Jiang, Deogratias Mzurikwao, Yue Zheng, Kelvin Kian Loong Wong, Luca Vollero, Guanglin Li. nca, 33(10):4793-4806, 2021. [doi]

2020

Towards resolving the co-existing impacts of multiple dynamic factors on the performance of EMG-pattern recognition based prosthesesMojisola Grace Asogbon, Oluwarotimi Williams Samuel, Yanjuan Geng, Olugbenga Oluwagbemi, Ning Ji, Shixiong Chen, Naik Ganesh, Pang Feng, Guanglin Li. cmpb, 184:105278, 2020. [doi]

Appropriate Feature Set and Window Parameters Selection for Efficient Motion Intent Characterization towards Intelligently Smart EMG-PR SystemMojisola Grace Asogbon, Oluwarotimi Williams Samuel, Yanbing Jiang, Lin Wang, Yanjuan Geng, Arun Kumar Sangaiah, Shixiong Chen, Peng Fang, Guanglin Li. symmetry, 12(10):1710, 2020. [doi]

Robustness of Muscle Synergies under Variant Muscle Contraction Force during Forearm MovementsHanjie Deng, Vincent C. K. Cheung, Yanjuan Geng, Mojisola Grace Asogbon, Oluwarotimi Williams Samuel, Guanglin Li. embc 2020: 3306-3309 [doi]

Characterizing Multiple Patterns of Motor Intent Using Spatial-Temporal Information for Intuitively Active Motor Training in Stroke SurvivorsOluwarotimi Williams Samuel, Mojisola Grace Asogbon, Yanjuan Geng, Muhammad Ilhamdi Rusydi, Zacharia B. Mzurikwao, Shixiong Chen, Peng Fang, Guanglin Li. embc 2020: 3831-3834 [doi]

A new technique for the prediction of heart failure risk driven by hierarchical neighborhood component-based learning and adaptive multi-layer networksOluwarotimi Williams Samuel, Bin Yang, Yanjuan Geng, Mojisola Grace Asogbon, Sandeep Pirbhulal, Deogratias Mzurikwao, Oluwagbenga Paul Idowu, Tunde Joseph Ogundele, Xiangxin Li, Shixiong Chen, Ganesh R. Naik, Peng Fang, Fanghai Han, Guanglin Li. fgcs, 110:781-794, 2020. [doi]

2019

2018

Effect of Window Conditioning Parameters on the Classification Performance and Stability of EMG-Based Feature Extraction MethodsMojisola Grace Asogbon, Oluwarotimi Williams Samuel, Yanjuan Geng, Shixiong Chen, Deogratias Mzurikwao, Peng Fang, Guanglin Li. cbs 2018: 576-580 [doi]

A Robust Sparse Representation Based Pattern Recognition Approach for Myoelectric ControlYanjuan Geng, Yatao Ouyang, Oluwarotimi Williams Samuel, Shixiong Chen, Xiaoqiang Lu, Chuang Lin, Guanglin Li. access, 6:38326-38335, 2018. [doi]

Improving the Robustness of Myoelectric Control System Using Linear Regression ClassifierYanjuan Geng, Tianbao Sun, Oluwarotimi Williams Samuel, Shixiong Chen, Xuyan Xing, Xin Guo, Guanglin Li. cbs 2018: 483-488 [doi]

Determining the Optimal Window Parameters for Accurate and Reliable Decoding of Multiple Classes of Upper Limb Motor Imagery TasksOluwarotimi Williams Samuel, Mojisola Grace Asogbon, Yanjuan Geng, Sandeep Pirbhulal, Deogratias Mzurikwao, Shixiong Chen, Peng Fang, Guanglin Li. cbs 2018: 422-425 [doi]

A Novel Time-Domain Descriptor for Improved Prediction of Upper Limb Movement Intent in EMG-PR SystemOluwarotimi Williams Samuel, Asogbon Mojisola Grace, Yanjuan Geng, Shixiong Chen, Pang Feng, Chuang Lin, Lin Wang, Guanglin Li. embc 2018: 3513-3516 [doi]

2017

Identification of isotonic forearm motions using muscle synergies for brain injured patientsYanjuan Geng, Yatao Ouyang, Oluwarotimi Williams Samuel, Wenlong Yu, Yue Wei, Sheng Bi, Xiaoqiang Lu, Guanglin Li. ner 2017: 633-636 [doi]

Comparison of different shielding methods in acquisition of physiological signalsYanbing Jiang, Ning Ji, Hui Wang, Xueyu Liu, Yanjuan Geng, Peng Li, Shixiong Chen, Guanglin Li. embc 2017: 2325-2328 [doi]

Towards Efficient Decoding of Multiple Classes of Motor Imagery Limb Movements Based on EEG Spectral and Time Domain DescriptorsOluwarotimi Williams Samuel, Yanjuan Geng, Xiangxin Li, Guanglin Li. jms, 41(12), 2017. [doi]

Resolving the adverse impact of mobility on myoelectric pattern recognition in upper-limb multifunctional prosthesesOluwarotimi Williams Samuel, Xiangxin Li, Yanjuan Geng, Asogbon Mojisola Grace, Peng Fang, Zhen Huang, Guanglin Li. cbm, 90:76-87, 2017. [doi]

Activity Recognition Based on Pattern Recognition of Myoelectric Signals for RehabilitationOluwarotimi Williams Samuel, Peng Fang, Shixiong Chen, Yanjuan Geng, Guanglin Li. In Samee U. Khan, Albert Y. Zomaya, Assad Abbas, editors, Handbook of Large-Scale Distributed Computing in Smart Healthcare. pages 427-442, Springer, 2017. [doi]

Motor imagery classification of upper limb movements based on spectral domain features of EEG patternsOluwarotimi Williams Samuel, Xiangxin Li, Yanjuan Geng, Pang Feng, Shixiong Chen, Guanglin Li. embc 2017: 2976-2979 [doi]

A new EMG-based index towards the assessment of elbow spasticity for post-stroke patientsLei Wang, Xin Guo, Peng Fang, Yue Wei, Oluwarotimi Williams Samuel, Pingao Huang, Yanjuan Geng, Hui Wang, Guanglin Li. embc 2017: 3640-3643 [doi]

Real-time classification of forearm movements based on high density surface electromyographyYue Wei, Yanjuan Geng, Wenlong Yu, Oluwarotimi Williams Samuel, Naifu Jiang, Hui Zhou, Xin Guo, Xiaoqiang Lu, Guanglin Li. rcar 2017: 246-251 [doi]

2015

New Control Strategies for Multifunctional Prostheses that Combine Electromyographic and Speech SignalsPeng Fang, Yanjuan Geng, Zheng Wei, Ping Zhou, Lan Tian, Guanglin Li. expert, 30(4):47-53, 2015. [doi]

2013

Using speech for mode selection in control of multifunctional myoelectric prosthesesPeng Fang, Zheng Wei, Yanjuan Geng, Fuan Yao, Guanglin Li. embc 2013: 3602-3605 [doi]

Pattern recognition based forearm motion classification for patients with chronic hemiparesisYanjuan Geng, Liangqing Zhang, Dan Tang, Xiufeng Zhang, Guanglin Li. embc 2013: 5918-5921 [doi]

2012

Comparison of electromyography and mechanomyogram in control of prosthetic system in multiple limb positionsYanjuan Geng, Liang Chen, Lan Tian, Guanglin Li. bhi 2012: 788-791 [doi]

Reduction of the effect of arm position variation on real-time performance of motion classificationYanjuan Geng, Fan Zhang, Lin Yang, Yuanting Zhang, Guanglin Li. embc 2012: 2772-2775 [doi]

2011

Performance of electromyography recorded using textile electrodes in classifying arm movementsGuanglin Li, Yanjuan Geng, Dandan Tao, Ping Zhou. embc 2011: 4243-4246 [doi]

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