Intent Prediction of Multi-axial Ankle Motion Using Limited EMG Signals
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[1] D. Winter. Biomechanical motor patterns in normal walking. , 1983, Journal of motor behavior.
[2] J. F. Yang,et al. Electromyographic amplitude normalization methods: improving their sensitivity as diagnostic tools in gait analysis. , 1984, Archives of physical medicine and rehabilitation.
[3] Aaron J. Young,et al. Analysis of using EMG and mechanical sensors to enhance intent recognition in powered lower limb prostheses , 2014, Journal of neural engineering.
[4] J. Delisa. Gait analysis in the science of rehabilitation , 1998 .
[5] M. Goldfarb,et al. Control of Stair Ascent and Descent With a Powered Transfemoral Prosthesis , 2013, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[6] Daniel P. Ferris,et al. An Experimental Powered Lower Limb Prosthesis Using Proportional Myoelectric Control , 2014 .
[7] Thomas Sugar,et al. Robotic transtibial prosthesis with biomechanical energy regeneration , 2009, Ind. Robot.
[8] Jason D. Miller,et al. Myoelectric Walking Mode Classification for Transtibial Amputees , 2013, IEEE Transactions on Biomedical Engineering.
[9] Hugh M. Herr,et al. Powered ankle-foot prosthesis to assist level-ground and stair-descent gaits , 2008, Neural Networks.
[10] Joseph M Czerniecki,et al. Co-contraction patterns of trans-tibial amputee ankle and knee musculature during gait , 2012, Journal of NeuroEngineering and Rehabilitation.
[11] Jing Wang,et al. Proportional EMG control of ankle plantar flexion in a powered transtibial prosthesis , 2013, 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR).
[12] Robert D. Lipschutz,et al. Robotic leg control with EMG decoding in an amputee with nerve transfers. , 2013, The New England journal of medicine.
[13] Huosheng Hu,et al. Myoelectric control systems - A survey , 2007, Biomed. Signal Process. Control..
[14] T.G. Sugar,et al. SPARKy 3: Design of an active robotic ankle prosthesis with two actuated degrees of freedom using regenerative kinetics , 2008, 2008 2nd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics.
[15] Kevin B. Fite,et al. EMG control of a bionic knee prosthesis: Exploiting muscle co-contractions for improved locomotor function , 2013, 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR).
[16] Ann M. Simon,et al. A Training Method for Locomotion Mode Prediction Using Powered Lower Limb Prostheses , 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[17] P. Bonato,et al. An EMG-position controlled system for an active ankle-foot prosthesis: an initial experimental study , 2005, 9th International Conference on Rehabilitation Robotics, 2005. ICORR 2005..
[18] Alena M. Grabowski,et al. Bionic ankle–foot prosthesis normalizes walking gait for persons with leg amputation , 2012, Proceedings of the Royal Society B: Biological Sciences.
[19] Long Wang,et al. On the Design of a Powered Transtibial Prosthesis With Stiffness Adaptable Ankle and Toe Joints , 2014, IEEE Transactions on Industrial Electronics.
[20] Mark Halaki,et al. Normalization of EMG Signals: To Normalize or Not to Normalize and What to Normalize to? , 2012 .
[21] Michael Goldfarb,et al. Volitional Control of a Prosthetic Knee Using Surface Electromyography , 2011, IEEE Transactions on Biomedical Engineering.
[22] T. Current,et al. Preliminary investigation of residual limb plantarflexion and dorsiflexion muscle activity during treadmill walking for trans-tibial amputees , 2012, Prosthetics and orthotics international.
[23] L J Hargrove,et al. Online adaptive neural control of a robotic lower limb prosthesis , 2018, Journal of neural engineering.
[24] Bram Vanderborght,et al. Design and Validation of the Ankle Mimicking Prosthetic (AMP-) Foot 2.0 , 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[25] Daniel P Ferris,et al. Muscle activation patterns during walking from transtibial amputees recorded within the residual limb-prosthetic interface , 2012, Journal of NeuroEngineering and Rehabilitation.
[26] Carlo J. De Luca,et al. The Use of Surface Electromyography in Biomechanics , 1997 .
[27] J. Friedman,et al. Construction of Trees from a Learning Sample , 2017 .
[28] Michael Goldfarb,et al. Multiclass Real-Time Intent Recognition of a Powered Lower Limb Prosthesis , 2010, IEEE Transactions on Biomedical Engineering.
[29] Long Wang,et al. Motion control of a robotic transtibial prosthesis during transitions between level ground and stairs , 2014, 2014 European Control Conference (ECC).
[30] D. Winter,et al. EMG profiles during normal human walking: stride-to-stride and inter-subject variability. , 1987, Electroencephalography and clinical neurophysiology.
[31] Kenton R. Kaufman,et al. Cable-Driven Two Degrees-of-Freedom Ankle–Foot Prosthesis , 2016 .
[32] A. M. Simon,et al. Real-time myoelectric control of knee and ankle motions for transfemoral amputees. , 2011, JAMA.
[33] Nicholas P. Fey,et al. Classifying the intent of novel users during human locomotion using powered lower limb prostheses , 2013, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).
[34] Fan Zhang,et al. Continuous Locomotion-Mode Identification for Prosthetic Legs Based on Neuromuscular–Mechanical Fusion , 2011, IEEE Transactions on Biomedical Engineering.
[35] He Huang,et al. A Strategy for Identifying Locomotion Modes Using Surface Electromyography , 2009, IEEE Transactions on Biomedical Engineering.
[36] C. D. Hoover,et al. Stair Ascent With a Powered Transfemoral Prosthesis Under Direct Myoelectric Control , 2013, IEEE/ASME Transactions on Mechatronics.