Linear regression with frequency division technique for robust simultaneous and proportional myoelectric control during medium and high contraction-level variation
暂无分享,去创建一个
Ning Jiang | Ashirbad Pradhan | Usha Kuruganti | Victoria Chester | N. Jiang | V. Chester | U. Kuruganti | Ashirbad Pradhan
[1] O. Horgan,et al. Psychosocial adjustment to lower-limb amputation: A review , 2004, Disability and rehabilitation.
[2] K. Englehart,et al. Resolving the Limb Position Effect in Myoelectric Pattern Recognition , 2011, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[3] Dario Farina,et al. User adaptation in Myoelectric Man-Machine Interfaces , 2017, Scientific Reports.
[4] Erik Scheme,et al. Electromyogram pattern recognition for control of powered upper-limb prostheses: state of the art and challenges for clinical use. , 2011, Journal of rehabilitation research and development.
[5] Dario Farina,et al. Myoelectric Control of Artificial Limbs¿Is There a Need to Change Focus? [In the Spotlight] , 2012, IEEE Signal Process. Mag..
[6] D. Atkins,et al. Epidemiologic Overview of Individuals with Upper-Limb Loss and Their Reported Research Priorities , 1996 .
[7] Erik J. Scheme,et al. Support Vector Regression for Improved Real-Time, Simultaneous Myoelectric Control , 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[8] Ning Jiang,et al. Robustness of Frequency Division Technique for Online Myoelectric Pattern Recognition against Contraction-Level Variation , 2017, Front. Bioeng. Biotechnol..
[9] D. Farina,et al. Simultaneous and Proportional Estimation of Hand Kinematics From EMG During Mirrored Movements at Multiple Degrees-of-Freedom , 2012, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[10] Robert Dodson,et al. Progressive upper limb prosthetics. , 2006, Physical medicine and rehabilitation clinics of North America.
[11] Maria Konarska,et al. Characteristics of power spectrum density function of EMG during muscle contraction below 30%MVC. , 2009, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.
[12] Janne M. Hahne. Machine learning based myoelectric control , 2016 .
[13] T. Kuiken,et al. Improved Myoelectric Prosthesis Control Using Targeted Reinnervation Surgery: A Case Series , 2008, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[14] Huosheng Hu,et al. Support Vector Machine-Based Classification Scheme for Myoelectric Control Applied to Upper Limb , 2008, IEEE Transactions on Biomedical Engineering.
[15] Lucas C. Parra,et al. Concurrent Adaptation of Human and Machine Improves Simultaneous and Proportional Myoelectric Control , 2015, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[16] Marco Platzner,et al. Fluctuating emg signals: Investigating long-term effects of pattern matching algorithms , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.
[17] Dario Farina,et al. Long term stability of surface EMG pattern classification for prosthetic control , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[18] D. Farina,et al. Linear and Nonlinear Regression Techniques for Simultaneous and Proportional Myoelectric Control , 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[19] Kevin B. Englehart,et al. A robust, real-time control scheme for multifunction myoelectric control , 2003, IEEE Transactions on Biomedical Engineering.
[20] R.N. Scott,et al. A new strategy for multifunction myoelectric control , 1993, IEEE Transactions on Biomedical Engineering.
[21] Kathryn Ziegler-Graham,et al. Estimating the prevalence of limb loss in the United States: 2005 to 2050. , 2008, Archives of physical medicine and rehabilitation.
[22] Dario Farina,et al. Extending mode switching to multiple degrees of freedom in hand prosthesis control is not efficient , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[23] Ning Jiang,et al. Extracting Simultaneous and Proportional Neural Control Information for Multiple-DOF Prostheses From the Surface Electromyographic Signal , 2009, IEEE Transactions on Biomedical Engineering.
[24] Dario Farina,et al. High-Density Electromyography and Motor Skill Learning for Robust Long-Term Control of a 7-DoF Robot Arm , 2016, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[25] Dario Farina,et al. Extracting Signals Robust to Electrode Number and Shift for Online Simultaneous and Proportional Myoelectric Control by Factorization Algorithms , 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[26] Dario Farina,et al. A Multi-Class Proportional Myocontrol Algorithm for Upper Limb Prosthesis Control: Validation in Real-Life Scenarios on Amputees , 2015, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[27] Loredana Zollo,et al. Literature Review on Needs of Upper Limb Prosthesis Users , 2016, Front. Neurosci..
[28] Todd A. Kuiken,et al. Improving Myoelectric Pattern Recognition Robustness to Electrode Shift by Changing Interelectrode Distance and Electrode Configuration , 2012, IEEE Transactions on Biomedical Engineering.
[29] Xinjun Sheng,et al. Invariant Surface EMG Feature Against Varying Contraction Level for Myoelectric Control Based on Muscle Coordination , 2015, IEEE Journal of Biomedical and Health Informatics.
[30] Dario Farina,et al. Improving the Robustness of Myoelectric Pattern Recognition for Upper Limb Prostheses by Covariate Shift Adaptation , 2016, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[31] Dario Farina,et al. Simultaneous and Proportional Force Estimation for Multifunction Myoelectric Prostheses Using Mirrored Bilateral Training , 2011, IEEE Transactions on Biomedical Engineering.
[32] Klaus-Robert Müller,et al. Channel selection for simultaneous and proportional myoelectric prosthesis control of multiple degrees-of-freedom , 2014, Journal of neural engineering.
[33] Dario Farina,et al. Is Accurate Mapping of EMG Signals on Kinematics Needed for Precise Online Myoelectric Control? , 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[34] Dario Farina,et al. Intuitive, Online, Simultaneous, and Proportional Myoelectric Control Over Two Degrees-of-Freedom in Upper Limb Amputees , 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[35] Dario Farina,et al. A Biologically-Inspired Robust Control System for Myoelectric Control , 2017 .
[36] Farina Dario,et al. Myoelectric control of upper limb prosthesis: current status, challenges and recent advances , 2014 .
[37] Xinjun Sheng,et al. User adaptation in long-term, open-loop myoelectric training: implications for EMG pattern recognition in prosthesis control , 2015, Journal of neural engineering.