Longitudinal Case Study of Regression-Based Hand Prosthesis Control in Daily Life
暂无分享,去创建一个
Janne M. Hahne | Dario Farina | Mario Koppe | Meike A. Wilke | Arndt F. Schilling | D. Farina | A. Schilling | J. Hahne | M. A. Wilke | Mario Koppe
[1] Christian Cipriani,et al. Influence of the weight actions of the hand prosthesis on the performance of pattern recognition based myoelectric control: Preliminary study , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[2] Klaus-Robert Müller,et al. Spatial Filtering for Robust Myoelectric Control , 2012, IEEE Transactions on Biomedical Engineering.
[3] 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.
[4] Ali Hussaini,et al. Refined clothespin relocation test and assessment of motion , 2017, Prosthetics and orthotics international.
[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] Dario Farina,et al. User adaptation in Myoelectric Man-Machine Interfaces , 2017, Scientific Reports.
[7] K. Englehart,et al. Resolving the Limb Position Effect in Myoelectric Pattern Recognition , 2011, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[8] Klaus-Robert Müller,et al. Real-time robustness evaluation of regression based myoelectric control against arm position change and donning/doffing , 2017, PloS one.
[9] Nitish V. Thakor,et al. Multi-Position Training Improves Robustness of Pattern Recognition and Reduces Limb-Position Effect in Prosthetic Control , 2017, Journal of prosthetics and orthotics : JPO.
[10] 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.
[11] Kevin Warwick,et al. Case Studies to Demonstrate the Range of Applications of the Southampton Hand Assessment Procedure , 2009 .
[12] Huosheng Hu,et al. Myoelectric control systems - A survey , 2007, Biomed. Signal Process. Control..
[13] Barbara Caputo,et al. Stable myoelectric control of a hand prosthesis using non-linear incremental learning , 2014, Front. Neurorobot..
[14] Dario Farina,et al. Simultaneous control of multiple functions of bionic hand prostheses: Performance and robustness in end users , 2018, Science Robotics.
[15] 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).
[16] C. Light,et al. Establishing a standardized clinical assessment tool of pathologic and prosthetic hand function: normative data, reliability, and validity. , 2002, Archives of physical medicine and rehabilitation.
[17] Erik J. Scheme,et al. Support Vector Regression for Improved Real-Time, Simultaneous Myoelectric Control , 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[18] 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.
[19] Stefano Stramigioli,et al. Myoelectric forearm prostheses: state of the art from a user-centered perspective. , 2011, Journal of rehabilitation research and development.
[20] Kevin B. Englehart,et al. A robust, real-time control scheme for multifunction myoelectric control , 2003, IEEE Transactions on Biomedical Engineering.
[21] Kianoush Nazarpour,et al. Combined influence of forearm orientation and muscular contraction on EMG pattern recognition , 2016, Expert Syst. Appl..
[22] Ashok Muzumdar. Powered upper limb prostheses : control, implementation and clinical application , 2004 .
[23] William J. Hanson. CONDUCTIVE INSERTS TO ACQUIRE MYOELECTRIC SIGNALS THROUGH SILICONE LINERS , 2008 .
[24] D. Farina,et al. Linear and Nonlinear Regression Techniques for Simultaneous and Proportional Myoelectric Control , 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[25] Ashok Muzumdar,et al. Powered Upper Limb Prostheses , 2004, Springer Berlin Heidelberg.
[26] D. Childress,et al. Myoelectric control , 2006, Medical and biological engineering.
[27] T. Kuiken,et al. A Comparison of Pattern Recognition Control and Direct Control of a Multiple Degree-of-Freedom Transradial Prosthesis , 2016, IEEE Journal of Translational Engineering in Health and Medicine.
[28] Todd A. Kuiken,et al. The Effects of Electrode Size and Orientation on the Sensitivity of Myoelectric Pattern Recognition Systems to Electrode Shift , 2011, IEEE Transactions on Biomedical Engineering.
[29] 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.
[30] V. Mathiowetz,et al. Adult norms for the Box and Block Test of manual dexterity. , 1985, The American journal of occupational therapy : official publication of the American Occupational Therapy Association.