Convolution Neural Network (CNN)-based Upper Limb Action Recognition
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[1] Shuxiang Guo,et al. Design and evaluation of a 3-degree-of-freedom upper limb rehabilitation exoskeleton robot , 2017, 2017 IEEE International Conference on Mechatronics and Automation (ICMA).
[2] Jianda Han,et al. A State-Space EMG Model for the Estimation of Continuous Joint Movements , 2015, IEEE Transactions on Industrial Electronics.
[3] Shuxiang Guo,et al. Coordinative Motion-Based Bilateral Rehabilitation Training System with Exoskeleton and Haptic Devices for Biomedical Application , 2018, Micromachines.
[4] Dingguo Zhang,et al. A discriminant bispectrum feature for surface electromyogram signal classification. , 2010, Medical engineering & physics.
[5] Fernando di Sciascio,et al. Bispectrum-based features classification for myoelectric control , 2013, Biomed. Signal Process. Control..
[6] Sung-Nien Yu,et al. Bispectral analysis and genetic algorithm for congestive heart failure recognition based on heart rate variability , 2012, Comput. Biol. Medicine.
[7] Yili Fu,et al. Integrating Compliant Actuator and Torque Limiter Mechanism for Safe Home-Based Upper-Limb Rehabilitation Device Design , 2017 .
[8] Shuxiang Guo,et al. Mechanical Design and Control Method for SEA and VSA-based Exoskeleton Devices for Elbow Joint Rehabilitation , 2014 .
[9] Shuxiang Guo,et al. An intention-based online bilateral training system for upper limb motor rehabilitation , 2020 .
[10] Guangming Dong,et al. Application of the horizontal slice of cyclic bispectrum in rolling element bearings diagnosis , 2012 .
[11] U. Rajendra Acharya,et al. ECG beat classification using PCA, LDA, ICA and Discrete Wavelet Transform , 2013, Biomed. Signal Process. Control..
[12] Shuxiang Guo,et al. Performance Evaluation of a Magnetically Actuated Capsule Microrobotic System for Medical Applications , 2018, Micromachines.
[13] Johannes R. Sveinsson,et al. Wavelet-package transformation as a preprocessor of EEG waveforms for classification , 1997, Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136).
[14] Albert J Sinusas,et al. Nanoparticles for Cardiovascular Imaging and Therapeutic Delivery, Part 1: Compositions and Features , 2015, The Journal of Nuclear Medicine.
[15] Yili Fu,et al. A Telepresence System for Therapist-in-the-Loop Training for Elbow Joint Rehabilitation , 2019, Applied Sciences.
[16] Yuwei Zhang,et al. Bispectrum-based sEMG multi-domain joint feature extraction for upper limb motion classification , 2016 .
[17] Zhang Chun-hua. Numerically Simulating Non-gaussian Random Processes with Specified PSD,Skewness and Kurtosis , 2006 .
[18] Shuxiang Guo,et al. Development of a powered variable-stiffness exoskeleton device for elbow rehabilitation , 2018, Biomedical microdevices.
[19] Hidenori Ishihara,et al. Muscle Strength Assessment System Using sEMG-Based Force Prediction Method for Wrist Joint , 2016 .
[20] Shuxiang Guo,et al. Comparison of sEMG-Based Feature Extraction and Motion Classification Methods for Upper-Limb Movement , 2015, Sensors.
[21] Tanu Sharma,et al. EMG classification using wavelet functions to determine muscle contraction , 2016, Journal of medical engineering & technology.
[22] Shuxiang Guo,et al. Design of a Novel Telerehabilitation System with a Force-Sensing Mechanism , 2015, Sensors.
[23] M.W. Jiang,et al. A Method of Recognizing Finger Motion Using Wavelet Transform of Surface EMG Signal , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.
[24] Tanu Sharma,et al. A novel feature extraction for robust EMG pattern recognition , 2016, Journal of medical engineering & technology.
[25] Pornchai Phukpattaranont,et al. A Novel Feature Extraction for Robust EMG Pattern Recognition , 2009, ArXiv.