Functional Electrical Stimulation (FES) is the controlled application of electrical current to the peripheral nerves for the purpose of generating useful muscle contractions in people with nervous system dysfunction. Over the last several decades, many different applications of FES technology have been developed (Figure 6.1), and these can be divided into two main categories. The first category includes those systems that save lives by restoring essential autonomic functions. Probably the most well-known and widespread example of commercial FES technology is the cardiac pacemakers used to reliably activate heart muscles in people with damage to the neural circuitry of the heart. Other commercial technologies, such as the VocareĀ® system, are used to restore bladder function after spinal cord injury. FES diaphragm-pacing systems have the potential to eliminate need for a ventilator in severely paralyzed individuals. Also, methods to stimulate nerves that coordinate breathing and swallowing reflex pathways are being developed to treat sleep apnea or to facilitate swallowing after stroke.
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REFERENCES
Carmena, J.M., M.A. Lebedev et al. 2003. Learning to control a brain-machine interface for reaching and grasping by primates. Public Library Sci. 1(2):1ā16.
Creasey, G.H., C.H. Ho, et al. 2004. Clinical applications of electrical stimulation after spinal cord injury. J. Spinal Cord Med. 27(4):365ā375.
Hochberg, L.R., M.D. Serruya, G.M. Friehs et al. 2006. Neuronal ensemble control of prosthetic devices by a human with tetraplegia. Nature 442(7099):164ā171.
Jackson, A., C.T. Moritz, J. Mavoori, T.H. Lucas, and E.E. Fetz. 2005. The Neurochip BCI: towards a neural prosthesis for upper limb function. IEEE Trans. Neural Syst. Rehab. Eng. 14(2):187ā190.
Kennedy, P.R., R.A.E. Bakay et al. 2000. Direct control of a computer from the human central nervous system. IEEE Trans. Rehab. Eng. 8(2):198ā202.
Morrow, M.M. and L.E. Miller. 2003. Prediction of muscle activity by populations of sequentially recorded primary motor cortex neurons. J. Neurophysiol. 89(4):2279ā2288.
Muller-Putz, G., R. Scherer et al. 2005. EEG-based neuroprosthesis control: A step towards clinical practice. Neurosci. Lett. 382:169ā174.
Musallam, S., B.D. Corneil et al. 2004. Cognitive control signals for neural prosthetics. Science 305:258ā262.
Peckham, P.H., M.W. Keith et al. 2001. Efficacy of an implanted neuroprosthesis for restoring hand grasp in tetraplegia: a multicenter study. Arch. Phys. Med. Rehab. 82(10):1380ā1388.
Pfurtscheller, G., G.R. Muller et al. 2003. āThoughtāācontrol of functional electrical stimulation to restore hand grasp in a patient with tetraplegia. Neurosci. Lett. 351:33ā36.
Serruya, M.D., N.G. Hatsopoulos et al. 2002. Instant neural control of a movement signal. Nature 416(6877):141ā142.
Santhanam, G., S.I. Ryu, B.M. Yu, A. Afshar, and K.V. Shenoy. 2006. A high-performance brain-computer interface. Nature 442:195ā198.
Taylor, D.M., S.I.H. Tillery, et al. 2002a. Direct cortical control of 3D neuroprosthetic devices. Science 296:1829ā1832.
Taylor, D.M., S.I.H. Tillery et al. 2003. Information conveyed through brain-control: cursor versus robot. IEEE Trans. Neural Syst. Rehab. Eng. 11(2):195ā199.
Taylor, P., J. Esnouf, et al. 2002b. The functional impact of the Freehand System on tetraplegic hand function, clinical results. Spinal Cord 40(11):560ā566.
Wessberg, J., C.R. Stambaugh et al. 2000. Real-time prediction of hand trajectory by ensembles of cortical neurons in primates. Nature 408(6810):361ā365.
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Taylor, D.M. (2008). Functional Electrical Stimulation and Rehabilitation Applications of BCIs. In: Brain-Computer Interfaces. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8705-9_6
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