Synergistic control of forearm based on accelerometer data and artificial neural networks.
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D B Popovic | B Mijovic | M B Popovic | M. Popovic | D. Popović | B. Mijovic | D. Popović | Bogdan Mijovic
[1] Malcolm H. Granat,et al. Continuous monitoring of upper-limb activity in a free-living environment: a validation study , 2007, Medical & Biological Engineering & Computing.
[2] L Dipietro,et al. Changing motor synergies in chronic stroke. , 2007, Journal of neurophysiology.
[3] Yen-Jen Oyang,et al. An efficient learning algorithm for function approximation with radial basis function networks , 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..
[4] James S Thomas,et al. Coordination and timing of spine and hip joints during full body reaching tasks. , 2007, Human movement science.
[5] M. Popovic,et al. Tuning of a nonanalytical hierarchical control system for reaching with FES , 1998, IEEE Transactions on Biomedical Engineering.
[6] G. R. Muller,et al. Brain oscillations control hand orthosis in a tetraplegic , 2000, Neuroscience Letters.
[7] D. Howard,et al. Artificial Neural Network Prediction Using Accelerometers to Control Upper Limb FES During Reaching and Grasping Following Stroke , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.
[8] P. Mirjana,et al. Simplified arm control in goal-directed movement , 1993, [1993] Proceedings of the Twelfth Southern Biomedical Engineering Conference.
[9] M Popović,et al. A new approach to reaching control for tetraplegic subjects. , 1994, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.
[10] Jack M. Winters,et al. Nonanalytical Control for Assisting Reaching in Humans with Disabilities , 2000 .
[11] S.D. Iftime,et al. Automatic determination of synergies by radial basis function artificial neural networks for the control of a neural prosthesis , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[12] S Saxena,et al. An EMG-controlled grasping system for tetraplegics. , 1995, Journal of rehabilitation research and development.
[13] G. R. Muller,et al. Clinical application of an EEG-based brain–computer interface: a case study in a patient with severe motor impairment , 2003, Clinical Neurophysiology.
[14] Huosheng Hu,et al. Inertial measurements of upper limb motion , 2006, Medical and Biological Engineering and Computing.
[15] T. Sinkjaer,et al. Therapy of paretic arm in hemiplegic subjects augmented with a neural prosthesis: a cross-over study. , 2004, Canadian journal of physiology and pharmacology.
[16] Merryn J Mathie,et al. Accelerometry: providing an integrated, practical method for long-term, ambulatory monitoring of human movement , 2004, Physiological measurement.
[17] Silvia Conforto,et al. A biologically inspired neural network controller for ballistic arm movements , 2007, Journal of NeuroEngineering and Rehabilitation.
[18] R. Nathan,et al. Upper limb functions regained in quadriplegia: a hybrid computerized neuromuscular stimulation system. , 1990, Archives of physical medicine and rehabilitation.
[19] Mirjana B Popović,et al. Control of neural prostheses for grasping and reaching. , 2003, Medical engineering & physics.
[20] Tom Chau,et al. A radial basis classifier for the automatic detection of aspiration in children with dysphagia , 2006, Journal of NeuroEngineering and Rehabilitation.
[21] T. Sinkjaer,et al. Clinical evaluation of Functional Electrical Therapy in acute hemiplegic subjects. , 2003, Journal of rehabilitation research and development.
[22] P H Veltink,et al. Ambulatory measurement of arm orientation. , 2007, Journal of biomechanics.
[23] J. Soechting,et al. Changes in spatial scale in drawing and handwriting: kinematic contributions by proximal and distal joints , 1987, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[24] S Micera,et al. Characterization of upper arm synergies during reaching tasks in able-bodied and hemiparetic subjects. , 2005, Clinical biomechanics.
[25] K.L. Kilgore,et al. Synthesis of hand grasp using functional neuromuscular stimulation , 1989, IEEE Transactions on Biomedical Engineering.
[26] D. Popovic,et al. Cloning biological synergies improves control of elbow neuroprostheses , 2001, IEEE Engineering in Medicine and Biology Magazine.
[27] P. B. Dejan,et al. Control for neural prostheses: neural networks for determining biological synergies , 2002, 6th Seminar on Neural Network Applications in Electrical Engineering.
[28] K. Y. Tong,et al. Command control for functional electrical stimulation hand grasp systems using miniature accelerometers and gyroscopes , 2003, Medical and Biological Engineering and Computing.
[29] Dejan B Popović,et al. The drawing test: assessment of coordination abilities and correlation with clinical measurement of spasticity. , 2005, Archives of physical medicine and rehabilitation.
[30] A. Prochazka,et al. The bionic glove: an electrical stimulator garment that provides controlled grasp and hand opening in quadriplegia. , 1997, Archives of physical medicine and rehabilitation.
[31] N. Hoshimiya,et al. A multichannel FES system for the restoration of motor functions in high spinal cord injury patients: a respiration-controlled system for multijoint upper extremity , 1989, IEEE Transactions on Biomedical Engineering.
[32] Ottawa Panel. Ottawa Panel Evidence-Based Clinical Practice Guidelines for Post-Stroke Rehabilitation , 2006 .
[33] Heekuck Oh,et al. Neural Networks for Pattern Recognition , 1993, Adv. Comput..
[34] P H Peckham,et al. Grasp synthesis for upper-extremity FNS. Part 1. Automated method for synthesising the stimulus map. , 1993, Medical & biological engineering & computing.
[35] R. Davoodi,et al. The Effects of Training Set on Prediction of Elbow Trajectory from Shoulder Trajectory during Reaching to Targets , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.
[36] P H Peckham,et al. Grasp synthesis for upper-extremity FNS. Part 2. Evaluation of the influence of electrode recruitment properties. , 1993, Medical & biological engineering & computing.