The tracking of reaches in three-dimensions

Prosthetic devices to replace upper limb function have made great progress over the last decade. However, current control modalities for these prosthetics still have severe limitations in the degrees of freedom they offer patients. Brain machine interfaces offer the possibility to improve the functionality of prosthetics. Current research on brain machine interfaces is limited by our understanding of the neural representations for various movements. Few electrophysiology studies have examined the encoding of unconstrained multi-joint movements in neural signals. Here we present a system for the high-speed tracking of multiple joints in three dimensions while recording, optimizing and decoding neural signals.

[1]  Daniel Baldauf,et al.  The Posterior Parietal Cortex Encodes in Parallel Both Goals for Double-Reach Sequences , 2008, The Journal of Neuroscience.

[2]  G. Pfurtscheller,et al.  ‘Thought’ – control of functional electrical stimulation to restore hand grasp in a patient with tetraplegia , 2003, Neuroscience Letters.

[3]  M. Swiontkowski Targeted Muscle Reinnervation for Real-time Myoelectric Control of Multifunction Artificial Arms , 2010 .

[4]  E. Mainardi,et al.  Controlling a prosthetic arm with a throat microphone , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[5]  Andrew B. Schwartz,et al.  Brain-Controlled Interfaces: Movement Restoration with Neural Prosthetics , 2006, Neuron.

[6]  E. Mackenzie,et al.  Limb Amputation and Limb Deficiency: Epidemiology and Recent Trends in the United States , 2002, Southern medical journal.

[7]  P. H. Peckham,et al.  An Implanted Upper-Extremity Neuroprosthesis. Follow-up of Five Patients* , 1997, The Journal of bone and joint surgery. American volume.

[8]  Richard T. Johnson,et al.  Development of the Utah Artificial Arm , 1982, IEEE Transactions on Biomedical Engineering.

[9]  Gerd Hirzinger,et al.  The modular multisensory DLR-HIT-Hand , 2007 .

[10]  A. Georgopoulos Neural integration of movement: role of motor cortex in reaching , 1988, FASEB journal : official publication of the Federation of American Societies for Experimental Biology.

[11]  Huosheng Hu,et al.  Myoelectric control systems - A survey , 2007, Biomed. Signal Process. Control..

[12]  Adrian D. C. Chan,et al.  A Gaussian mixture model based classification scheme for myoelectric control of powered upper limb prostheses , 2005, IEEE Transactions on Biomedical Engineering.

[13]  E. Marsolais,et al.  Restoration of key grip and release in the C6 tetraplegic patient through functional electrical stimulation. , 1980 .

[14]  Miguel A. L. Nicolelis,et al.  Actions from thoughts , 2001, Nature.

[15]  Paolo Dario,et al.  A novel wearable foot interface for controlling robotic hands , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[16]  Richard A Andersen,et al.  Decoding Trajectories from Posterior Parietal Cortex Ensembles , 2008, The Journal of Neuroscience.

[17]  Dapeng Yang,et al.  An anthropomorphic robot hand developed based on underactuated mechanism and controlled by EMG signals , 2009 .

[18]  J. Wyndaele,et al.  Incidence, prevalence and epidemiology of spinal cord injury: what learns a worldwide literature survey? , 2006, Spinal Cord.

[19]  K. Kilgore,et al.  Implantable functional neuromuscular stimulation in the tetraplegic hand. , 1989, The Journal of hand surgery.