Neural Interfaces for Control of Upper Limb Prostheses: The State of the Art and Future Possibilities
Abstract
Current treatment of upper limb amputation restores some degree of functional ability, but this ability falls far below the standard set by the natural arm. Although acceptance rates can be high when patients are highly motivated and receive proper training and care, current prostheses often fail to meet the daily needs of amputees and frequently are abandoned. Recent advancements in science and technology have led to promising methods of accessing neural information for communication or control. Researchers have explored invasive and noninvasive methods of connecting with muscles, nerves, or the brain to provide increased functionality for patients experiencing disease or injury, including amputation. These techniques offer hope of more natural and intuitive prosthesis control, and therefore increased quality of life for amputees. In this review, we discuss the current state of the art of neural interfaces, particularly those that may find application within the prosthetics field.
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Percutaneous interfaces have a continuous risk of infection, which has caused many to conclude that fully implantable, telemetered systems are necessary for long-term prosthetic applications.
“However, these interfaces have a continuous risk of infection which has 'caused many to conclude that fully implantable, telemetered systems are necessary' for long term prosthetic applications (Schultz and Kuiken 2011).”
From Peripheral nerve bionic interface: a review of electrodes (2019) · cites this paper as Schultz and Kuiken 2011
Sophisticated approaches have been developed to control prosthetic hands intuitively.
“Major strides have been made in the development of approaches to control these hands either by decoding motor intent from myoelectric signals (Fougner et al., 2012;Schultz and Kuiken, 2011) or from the activation of neurons in motor cortex (Bensmaia and Miller, 2014;Wodlinger et al., 2015).”
From Biomimetic approaches to bionic touch through a peripheral nerve interface (2015) · cites this paper as Schultz and Kuiken, 2011
Cites
(1982) · Trends in Neurosciences · doi:10.1016/0166-2236(82)90076-5 · Cited by 9,148 · see citing works
Brain–computer interfaces for communication and control
Wolpaw, J. R., Birbaumer, N., McFarland, D. J., Pfurtscheller, G., & Vaughan, T. M. (2002) · Clinical Neurophysiology · doi:10.1016/s1388-2457(02)00057-3 · Cited by 7,927 · see citing works
Henry, M. A. (1995) · The Journal of the American Dental Association · doi:10.14219/jada.archive.1995.0108 · Cited by 3,454 · see citing works
Neuronal ensemble control of prosthetic devices by a human with tetraplegia
Hochberg, L. R., Serruya, M. D., Friehs, G. M., Mukand, J. A., Saleh, M., Caplan, A. H., Branner, A., Chen, D., Penn, R. D., & Donoghue, J. P. (2006) · Nature · doi:10.1038/nature04970 · Cited by 3,295 · see citing works
Estimating the Prevalence of Limb Loss in the United States: 2005 to 2050
Ziegler‐Graham, K., MacKenzie, E. J., Ephraim, P. L., Travison, T. G., & Brookmeyer, R. (2008) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2007.11.005 · Cited by 2,823 · see citing works
A new strategy for multifunction myoelectric control
Hudgins, B., Parker, P., & Scott, R. N. (1993) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.204774 · Cited by 2,149 · see citing works
Georgopoulos, A. P., Kalaska, J. F., Caminiti, R., & Massey, J. (1982) · Journal of Neuroscience · doi:10.1523/jneurosci.02-11-01527.1982 · Cited by 2,133 · see citing works
Brain–machine interfaces: past, present and future
Lebedev, M. A., & Nicolelis, M. A. L. (2006) · Trends in Neurosciences · doi:10.1016/j.tins.2006.07.004 · Cited by 1,875 · see citing works
A robust, real-time control scheme for multifunction myoelectric control
Englehart, K., & Hudgins, B. (2003) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2003.813539 · Cited by 1,743 · see citing works
Cortical control of a prosthetic arm for self-feeding
Velliste, M., Perel, S., Spalding, M. C., Whitford, A. S., & Schwartz, A. B. (2008) · Nature · doi:10.1038/nature06996 · Cited by 1,591 · see citing works
A spelling device for the paralysed
Birbaumer, N., Ghanayim, N., Hinterberger, T., Iversen, I., Kotchoubey, B., Kübler, A., Perelmouter, J., Taub, E., & Flor, H. (1999) · Nature · doi:10.1038/18581 · Cited by 1,577 · see citing works
Direct Cortical Control of 3D Neuroprosthetic Devices
Taylor, D. M., Tillery, S. I. H., & Schwartz, A. B. (2002) · Science · doi:10.1126/science.1070291 · Cited by 1,542 · see citing works
Instant neural control of a movement signal
Serruya, M. D., Hatsopoulos, N. G., Paninski, L., Fellows, M. R., & Donoghue, J. P. (2002) · Nature · doi:10.1038/416141a · Cited by 1,415 · see citing works
Myoelectric control systems—A survey
Asghari Oskoei, M., & Hu, H. (2007) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2007.07.009 · Cited by 1,244 · see citing works
Targeted Muscle Reinnervation for Real-time Myoelectric Control of Multifunction Artificial Arms
Kuiken, T. A. (2009) · JAMA · doi:10.1001/jama.2009.116 · Cited by 1,089 · see citing works
Self-citationTemporal structure in neuronal activity during working memory in macaque parietal cortex
Pesaran, B., Pezaris, J. S., Sahani, M., Mitra, P. P., & Andersen, R. A. (2002) · Nature Neuroscience · doi:10.1038/nn890 · Cited by 1,029 · see citing works
Navarro, X., Krueger, T. B., Lago, N., Micera, S., Stieglitz, T., & Dario, P. (2005) · Journal of the Peripheral Nervous System · doi:10.1111/j.1085-9489.2005.10303.x · Cited by 845 · cited 2× · see citing works
“One common type of extraneural electrode, the nerve cuff electrode, surrounds the nerve and therefore records and stimulates a few to several combined nerve fascicles, depending on the number and arrangement of contacts (Figure 5A) [39].”
BackgroundMethodMotor Cortical Representation of Speed and Direction During Reaching
Moran, D. W., & Schwartz, A. B. (1999) · Journal of Neurophysiology · doi:10.1152/jn.1999.82.5.2676 · Cited by 813 · see citing works
Brain responses to micro-machined silicon devices
Szarowski, D. H., Andersen, M. D., Retterer, S. T., Spence, A. J., Isaacson, M. S., Craighead, H. G., Turner, J. N., & Shain, W. G. (2003) · Brain Research · doi:10.1016/s0006-8993(03)03023-3 · Cited by 798 · see citing works
Brain-Controlled Interfaces: Movement Restoration with Neural Prosthetics
Schwartz, A. B., Cui, X. T., Weber, D. J., & Moran, D. W. (2006) · Neuron · doi:10.1016/j.neuron.2006.09.019 · Cited by 792 · see citing works
Principles of Neural Science, 4th ed.
Schultz, S. K. (2001) · American Journal of Psychiatry · doi:10.1176/appi.ajp.158.4.662 · Cited by 752 · see citing works
Biddiss, E. A., & Chau, T. T. (2007) · American Journal of Physical Medicine & Rehabilitation · doi:10.1097/phm.0b013e3181587f6c · Cited by 647 · see citing works
Loss of proprioception produces deficits in interjoint coordination.
Sainburg, R., Poizner, H., & Ghez, C. (1993) · Journal of Neurophysiology · doi:10.1152/jn.1993.70.5.2136 · Cited by 578 · see citing works
Direct neural sensory feedback and control of a prosthetic arm
Dhillon, G. S., & Horch, K. W. (2005) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2005.856072 · Cited by 573 · see citing works
Patients with ALS can use sensorimotor rhythms to operate a brain-computer interface
Kübler, A., Nijboer, F., Mellinger, J., Vaughan, T. M., Pawelzik, H., Schalk, G., McFarland, D. J., Birbaumer, N., & Wolpaw, J. R. (2005) · Neurology · doi:10.1212/01.wnl.0000158616.43002.6d · Cited by 539 · see citing works
Epidemiologic Overview of Individuals with Upper-Limb Loss and Their Reported Research Priorities
Atkins, D. J., Heard, D. C. Y., & Donovan, W. H. (1996) · JPO Journal of Prosthetics and Orthotics · doi:10.1097/00008526-199600810-00003 · Cited by 517 · see citing works
Iturrate, I., Antelis, J. M., Kübler, A., & Mínguez, J. (2009) · IEEE Transactions on Robotics · doi:10.1109/tro.2009.2020347 · Cited by 515 · see citing works
Sellers, E. W., Krusienski, D. J., McFarland, D. J., Vaughan, T. M., & Wolpaw, J. R. (2006) · Biological Psychology · doi:10.1016/j.biopsycho.2006.04.007 · Cited by 504 · see citing works
Somatosensory discrimination based on cortical microstimulation
Romo, R., Hernández, A., Zainos, A., & Salinas, E. (1998) · Nature · doi:10.1038/32891 · Cited by 500 · see citing works
The thought translation device (TTD) for completely paralyzed patients
Birbaumer, N., Kubler, A., Ghanayim, N., Hinterberger, T., Perelmouter, J., Kaiser, J., Iversen, I., Kotchoubey, B., Neumann, N., & Flor, H. (2000) · IEEE Transactions on Rehabilitation Engineering · doi:10.1109/86.847812 · Cited by 493 · see citing works
A human-assisting manipulator teleoperated by EMG signals and arm motions
Fukuda, O., Tsuji, T., Kaneko, M., & Otsuka, A. (2003) · IEEE Transactions on Robotics and Automation · doi:10.1109/tra.2003.808873 · Cited by 483 · see citing works
Two-dimensional movement control using electrocorticographic signals in humans
Schalk, G., Miller, K. J., Anderson, N., Wilson, J. A., Smyth, M. D., Ojemann, J. G., Moran, D. W., Wolpaw, J. R., & Leuthardt, E. C. (2008) · Journal of Neural Engineering · doi:10.1088/1741-2560/5/1/008 · Cited by 481 · see citing works
EEG-based neuroprosthesis control: A step towards clinical practice
Müller-Putz, G. R., Scherer, R., Pfurtscheller, G., & Rupp, R. (2005) · Neuroscience Letters · doi:10.1016/j.neulet.2005.03.021 · Cited by 477 · see citing works
Brain oscillations control hand orthosis in a tetraplegic
Pfurtscheller, G., Guger, C., Müller, G., Krausz, G., & Neuper, C. (2000) · Neuroscience Letters · doi:10.1016/s0304-3940(00)01471-3 · Cited by 472 · see citing works
Quantifying Pattern Recognition—Based Myoelectric Control of Multifunctional Transradial Prostheses
Li, G., Schultz, A. E., & Kuiken, T. A. (2010) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2009.2039619 · Cited by 443 · see citing works
Self-citationBrain-computer interface research at the Wadsworth Center
Wolpaw, J. R., McFarland, D. J., & Vaughan, T. M. (2000) · IEEE Transactions on Rehabilitation Engineering · doi:10.1109/86.847823 · Cited by 438 · see citing works
Inference of hand movements from local field potentials in monkey motor cortex
Mehring, C., Rickert, J., Vaadia, E., de Oliveira, S. C., Aertsen, A., & Rotter, S. (2003) · Nature Neuroscience · doi:10.1038/nn1158 · Cited by 435 · see citing works
Fuzzy EMG classification for prosthesis control.
Chan, F. H. Y., Yang, Y.-S., Lam, F., Zhang, Y.-T., & Parker, P. A. (2000) · IEEE transactions on rehabilitation engineering · doi:10.1109/86.867872 · Cited by 419 · see citing works
Suner, S., Fellows, M. R., Vargas-Irwin, C., Nakata, G. K., & Donoghue, J. P. (2005) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2005.857687 · Cited by 415 · cited 1× · see citing works
“Both cone electrodes and icroelectrode arrays have been shown to record reliable ignals for a little over a year in monkeys; however, no icroelectrode arrays have been verified to reliably record ction potentials for more extended periods of time [67-69].”
BackgroundA heuristic fuzzy logic approach to EMG pattern recognition for multifunctional prosthesis control
Ajiboye, A. B., & Weir, R. F. (2005) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2005.847357 · Cited by 415 · see citing works
Kim, S.-P., Simeral, J. D., Hochberg, L. R., Donoghue, J. P., & Black, M. J. (2008) · Journal of Neural Engineering · doi:10.1088/1741-2560/5/4/010 · Cited by 399 · see citing works
Evaluation of the forearm EMG signal features for the control of a prosthetic hand
Boostani, R., & Moradi, M. H. (2003) · Physiological Measurement · doi:10.1088/0967-3334/24/2/307 · Cited by 393 · see citing works
Control of a humanoid robot by a noninvasive brain–computer interface in humans
Bell, C. J., Shenoy, P., Chalodhorn, R., & Rao, R. P. N. (2008) · Journal of Neural Engineering · doi:10.1088/1741-2560/5/2/012 · Cited by 387 · see citing works
The Science of Neural Interface Systems
Hatsopoulos, N. G., & Donoghue, J. P. (2009) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.051508.135241 · Cited by 379 · see citing works
Dhillon, G. S., Lawrence, S. M., Hutchinson, D. T., & Horch, K. W. (2004) · The Journal of Hand Surgery · doi:10.1016/j.jhsa.2004.02.006 · Cited by 354 · cited 3× · see citing works
“In addition, sensory afferents have been hown to remain viable long term in amputees [36,37].”
BackgroundResultRoles of Proprioceptive Input in the Programming of Arm TrajectoriesPreprint
Ghez, C. P., Gordon, J., Ghilardi, M. F., Christakos, C. N., & Cooper, S. E. (1990) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.1990.055.01.079 · Cited by 342 · see citing works
Augurelle, A.-S., Smith, A. M., Lejeune, T. M., & Thonnard, J. (2003) · Journal of Neurophysiology · doi:10.1152/jn.00249.2002 · Cited by 332 · see citing works
Prediction of arm movement trajectories from ECoG-recordings in humans
Tobias Pistohl, A., Tonio Ball, A., Schulze‐Bonhage, A., Aertsen, A., & Mehring, C. (2007) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.10.001 · Cited by 330 · see citing works
Selecting the signals for a brain–machine interface
Andersen, R. A., Musallam, S., & Pesaran, B. (2004) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2004.10.005 · Cited by 329 · see citing works
Long-term stimulation and recording with a penetrating microelectrode array in cat sciatic nerve
Branner, A., Stein, R. B., Fernandez, E., Aoyagi, Y., & Normann, R. A. (2004) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2003.820321 · Cited by 301 · see citing works
Bridging the Brain to the World: A Perspective on Neural Interface Systems
Donoghue, J. P. (2008) · Neuron · doi:10.1016/j.neuron.2008.10.037 · Cited by 294 · see citing works
Decoding flexion of individual fingers using electrocorticographic signals in humans
Kubanek, J., Miller, K. J., Ojemann, J. G., Wolpaw, J. R., & Schalk, G. (2009) · Journal of Neural Engineering · doi:10.1088/1741-2560/6/6/066001 · Cited by 286 · see citing works
Kuiken, T., Marasco, P. D., Lock, B. A., Harden, R. N., & Dewald, J. P. A. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0706525104 · Cited by 284 · see citing works
Self-citationPrimary Motor Cortex Tuning to Intended Movement Kinematics in Humans with Tetraplegia
Truccolo, W., Friehs, G. M., Donoghue, J. P., & Hochberg, L. R. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.4415-07.2008 · Cited by 273 · see citing works
Romo, R., Hernández, A., Zainos, A., Brody, C. D., & Lemus, L. (2000) · Neuron · doi:10.1016/s0896-6273(00)81156-3 · Cited by 270 · see citing works
Implantable Myoelectric Sensors (IMESs) for Intramuscular Electromyogram Recording
Weir, R. F. F., Troyk, P. R., DeMichele, G. A., Kerns, D., Schorsch, J. F., & Maas, H. (2008) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2008.2005942 · Cited by 264 · see citing works
Sensinger, J. W., Lock, B. A., & Kuiken, T. (2009) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2009.2023282 · Cited by 240 · see citing works
Self-citationA multielectrode array for intrafascicular recording and stimulation in sciatic nerve of cats
Branner, A., & Normann, R. A. (2000) · Brain Research Bulletin · doi:10.1016/s0361-9230(99)00231-2 · Cited by 234 · see citing works
Contribution of the monkey corticomotoneuronal system to the control of force in precision grip
Maier, M. A., Bennett, K. M. B., Hepp‐Reymond, M., & Lemon, R. (1993) · Journal of Neurophysiology · doi:10.1152/jn.1993.69.3.772 · Cited by 216 · see citing works
Design of a Multifunctional Anthropomorphic Prosthetic Hand With Extrinsic Actuation
Dalley, S. A., Wiste, T. E., Withrow, T. J., & Goldfarb, M. (2009) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2009.2033113 · Cited by 204 · see citing works
The cutaneous contribution to adaptive precision grip
Witney, A. G., Wing, A., Thonnard, J.-L., & Smith, A. M. (2004) · Trends in Neurosciences · doi:10.1016/j.tins.2004.08.006 · Cited by 203 · see citing works
Emulation of computer mouse control with a noninvasive brain–computer interface
McFarland, D. J., Krusienski, D. J., Sarnacki, W. A., & Wolpaw, J. R. (2008) · Journal of Neural Engineering · doi:10.1088/1741-2560/5/2/001 · Cited by 202 · see citing works
EMG pattern recognition based on artificial intelligence techniques
Park, S., & Lee, S.-P. (1998) · IEEE Transactions on Rehabilitation Engineering · doi:10.1109/86.736154 · Cited by 199 · see citing works
Changes in conduction velocity and fibre size proximal to peripheral nerve lesions
Cragg, B. G., & Thomas, P. K. (1961) · The Journal of Physiology · doi:10.1113/jphysiol.1961.sp006724 · Cited by 187 · see citing works
Dhillon, G. S., Krüger, T. B., Sandhu, J. S., & Horch, K. W. (2005) · Journal of Neurophysiology · doi:10.1152/jn.00937.2004 · Cited by 183 · see citing works
Lago, N., Ceballos, D., J Rodrı́guez, F., Stieglitz, T., & Navarro, X. (2005) · Biomaterials · doi:10.1016/j.biomaterials.2004.06.025 · Cited by 178 · see citing works
Closed-loop control in prosthetic systems: Historical perspective
Childress, D. S. (1980) · Annals of Biomedical Engineering · doi:10.1007/bf02363433 · Cited by 158 · see citing works
Muscle synergies as a predictive framework for the EMG patterns of new hand postures
Ajiboye, A. B., & Weir, R. F. F. (2009) · Journal of Neural Engineering · doi:10.1088/1741-2560/6/3/036004 · Cited by 155 · see citing works
Patterson, P. E., & Katz, J. A. (1992) · The Journal of Rehabilitation Research and Development · doi:10.1682/jrrd.1992.01.0001 · Cited by 147 · see citing works
Polasek, K. H., Hoyen, H. A., Keith, M. W., Kirsch, R. F., & Tyler, D. J. (2009) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2009.2032603 · Cited by 142 · see citing works
Electrical Stimulation of the Proprioceptive Cortex (Area 3a) Used to Instruct a Behaving Monkey
London, B. M., Jordan, L. R., Jackson, C. R., & Miller, L. E. (2008) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2007.907544 · Cited by 124 · see citing works
Micera, S., Navarro, X., Carpaneto, J., Citi, L., Tonet, O., Rossini, P. M., Carrozza, M. C., Hoffmann, K. P., Vivo, M., Yoshida, K., et al. (2008) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2008.2006207 · Cited by 120 · see citing works
Local field potential spectral tuning in motor cortex during reaching
Heldman, D. A., Wang, W., Chan, S. S., & Moran, D. W. (2006) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2006.875549 · Cited by 120 · see citing works
Sebelius, F., Rosén, B., & Lundborg, G. (2005) · The Journal Of Hand Surgery · doi:10.1016/j.jhsa.2005.01.002 · Cited by 119 · see citing works
Kang, W.-J., Shiu, J.-R., Cheng, C., Lai, J., Tsao, H., & Kuo, T. (1995) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.398638 · Cited by 118 · see citing works
Extended physiologic taction: design and evaluation of a proportional force feedback system.
Meek, S. G., Jacobsen, S. C., & Goulding, P. P. (1989) · PubMed · Cited by 116 · see citing works
Sensory capacity of reinnervated skin after redirection of amputated upper limb nerves to the chest
Marasco, P. D., Schultz, A. E., & Kuiken, T. A. (2009) · Brain · doi:10.1093/brain/awp082 · Cited by 113 · see citing works
Self-citationMehring, C., Nawrot, M. P., de Oliveira, S. C., Vaadia, E., Schulze‐Bonhage, A., Aertsen, A., & Tonio Ball, A. (2004) · Journal of Physiology-Paris · doi:10.1016/j.jphysparis.2005.09.016 · Cited by 102 · see citing works
Asynchronous Decoding of Dexterous Finger Movements Using M1 Neurons
Aggarwal, V., Acharya, S., Tenore, F. V., Shin, H., Etienne‐Cummings, R., Schieber, M. H., & Thakor, N. V. (2008) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2007.916289 · Cited by 99 · see citing works
Fabrication and characteristics of an implantable, polymer-based, intrafascicular electrode
Lawrence, S. M., Dhillon, G. S., & Horch, K. W. (2003) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(03)00231-0 · Cited by 93 · see citing works
The cone electrode: Ultrastructural studies following long-term recording in rat and monkey cortex
Kennedy, P. R., Mirra, S. S., & Bakay, R. A. E. (1992) · Neuroscience Letters · doi:10.1016/0304-3940(92)90627-j · Cited by 81 · see citing works
Acharya, S., Tenore, F. V., Aggarwal, V., Etienne‐Cummings, R., Schieber, M. H., & Thakor, N. V. (2008) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2007.916269 · Cited by 74 · see citing works
Jia, X., Koenig, M. A., Zhang, X., Zhang, J., Chen, T., & Chen, Z. (2007) · The Journal of Hand Surgery · doi:10.1016/j.jhsa.2007.02.021 · Cited by 70 · see citing works
Aoyagi, Y., Stein, R. B., Branner, A., Pearson, K. G., & Normann, R. A. (2003) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(03)00143-2 · Cited by 68 · see citing works
Lago, N., Udina, E., Ramachandran, A., & Navarro, X. (2007) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2007.891168 · Cited by 68 · see citing works
Comprehensive Management of the Upper-Limb Amputee
Atkins, D. J., & Meier, R. H. (1989) · Springer eBooks · doi:10.1007/978-1-4612-3530-9 · Cited by 62 · see citing works
Schultz, A. E., Marasco, P. D., & Kuiken, T. A. (2009) · Brain Research · doi:10.1016/j.brainres.2008.11.039 · Cited by 58 · see citing works
Self-citationChronic Measurement of the Stimulation Selectivity of the Flat Interface Nerve Electrode
Leventhal, D. K., & Durand, D. M. (2004) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2004.827535 · Cited by 55 · see citing works
Permanent Axotomy by Amputation Results in Loss of Motor Neurons in Man
Kawamura, Y., & Dyck, P. J. B. (1981) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/00005072-198111000-00007 · Cited by 51 · see citing works
Design of a multifunctional anthropomorphic prosthetic hand with extrinsic actuation
Wiste, T. E., Dalley, S. A., Withrow, T. J., & Goldfarb, M. T. (2009) · International Conference on Rehabilitation Robotics · doi:10.1109/icorr.2009.5209496 · Cited by 50 · see citing works
Development of prosthetic arm with pneumatic prosthetic hand and tendon-driven wrist
Takeda, H., TSUJIUCHI, N., KOIZUMI, T., Kan, H., Hirano, M., & Nakamura, Y. (2009) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2009.5333668 · Cited by 48 · see citing works
Neural Coding: The enigma of the brain
Stevens, C. F., & Zador, A. M. (1995) · Current Biology · doi:10.1016/s0960-9822(95)00273-9 · Cited by 45 · see citing works
Dyck, P. J., Lais, A. C., Karnes, J. L., SPARKS, M. F., & Dyck, P. J. (1985) · Brain Research · doi:10.1016/0006-8993(85)90771-1 · Cited by 45 · see citing works
Sensinger, J. W., Schultz, A. E., & Kuiken, T. (2009) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2009.2032640 · Cited by 38 · see citing works
Self-citationBody-Powered Upper-Limb Components
Muilenburg, A. L., & LeBlanc, M. A. (1989) · Springer eBooks · doi:10.1007/978-1-4612-3530-9_5 · Cited by 26 · see citing works
New Multifunctional Prosthetic Arm and hand Systems
Weir, R. F. F., Mitchell, M., Clark, S., Puchhammer, G., Kelley, K., Haslinger, M., Kumar, N., Hofbauer, R., Kuschnigg, P., Cornelius, V., et al. (2007) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2007.4353302 · Cited by 25 · see citing works
Adult Myoelectric Upper-Limb Prosthetic Training
Spiegel, S. R. (1989) · Springer eBooks · doi:10.1007/978-1-4612-3530-9_7 · Cited by 7 · see citing works
Wireless implantable EMG sensor for powered prosthesis control
Young, D. J., Farnsworth, B. D., & Triolo, R. J. (2008) · IEEE International Conference on Solid-State and Integrated Circuit Technology · doi:10.1109/icsict.2008.4735104 · Cited by 5 · see citing works
Schulz, S., Pylatiuk, C., Kargov, A., & Werner, T. (2007) · Cited by 1 · see citing works
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Literature Review on Needs of Upper Limb Prosthesis Users
Cordella, F., Ciancio, A. L., Sacchetti, R., Davalli, A., Cutti, A. G., Guglielmelli, E., & Zollo, L. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00209 · Cited by 766 · see citing works
Neural Stimulation and Recording with Bidirectional, Soft Carbon Nanotube Fiber Microelectrodes
Vitale, F., Santacruz, S. R., Aazhang, B., Kemere, C. T., & Pasquali, M. (2015) · ACS Nano · doi:10.1021/acsnano.5b01060 · Cited by 313 · see citing works
A Review of Sensory Feedback in Upper-Limb Prostheses From the Perspective of Human Motor Control
Sensinger, J. W., & Dosen, S. S. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00345 · Cited by 233 · see citing works
Hybrid EEG–fNIRS-Based Eight-Command Decoding for BCI: Application to Quadcopter Control
Khan, M. J., & Hong, K. (2017) · Frontiers in Neurorobotics · doi:10.3389/fnbot.2017.00006 · Cited by 229 · see citing works
Ison, M. R., & Artemiadis, P. (2014) · Journal of Neural Engineering · doi:10.1088/1741-2560/11/5/051001 · Cited by 225 · see citing works
A lower limb exoskeleton control system based on steady state visual evoked potentials
Kwak, N.-S., Müller, K., & Lee, S. (2015) · Journal of Neural Engineering · doi:10.1088/1741-2560/12/5/056009 · Cited by 221 · see citing works
Fleming, A., Stafford, N. E., Huang, S., Hu, X., Ferris, D. P., & Huang, H. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac1176 · Cited by 222 · see citing works
Pasquina, P. F., Evangelista, M., Carvalho, A. J., Lockhart, J., Griffin, S. C., Nanos, G. P., McKay, P. L., Hansen, M., Ipsen, D. F., Vandersea, J., et al. (2014) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2014.07.016 · Cited by 206 · see citing works
A motion-classification strategy based on sEMG-EEG signal combination for upper-limb amputees
Li, X., Samuel, O. W., Zhang, X., Wang, H., Fang, P., & Li, G. (2017) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-016-0212-z · Cited by 202 · see citing works
High accuracy decoding of user intentions using EEG to control a lower-body exoskeleton
Kilicarslan, A., Prasad, S., Grossman, R. G., & Contreras-Vidal, J. L. (2013) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2013.6610821 · Cited by 196 · see citing works
Biomimetic approaches to bionic touch through a peripheral nerve interface
Saal, H. P., & Bensmaia, S. J. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.06.010 · Cited by 179 · see citing works
“Major strides have been made in the development of approaches to control these hands either by decoding motor intent from myoelectric signals (Fougner et al., 2012; Schultz and Kuiken, 2011) or from the activation of neurons in motor cortex (Bensmaia and Miller, 2014; Wodlinger et al., 2015).”
Kung, T. A., Langhals, N. B., Martin, D. C., Johnson, P. J., Cederna, P. S., & Urbanchek, M. G. (2014) · Plastic & Reconstructive Surgery · doi:10.1097/prs.0000000000000168 · Cited by 181 · see citing works
Aszmann, O. C., Roche, A. D., Salminger, S., Paternostro-Sluga, T., Herceg, M., Sturma, A., Hofer, C., & Farina, D. (2015) · The Lancet · doi:10.1016/s0140-6736(14)61776-1 · Cited by 152 · see citing works
Non-invasive control interfaces for intention detection in active movement-assistive devices
Lobo-Prat, J., Kooren, P. N., Stienen, A. H. A., Herder, J. L., Koopman, H. F. J. M., & Veltink, P. H. (2014) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-11-168 · Cited by 150 · see citing works
Clinical applications of penetrating neural interfaces and Utah Electrode Array technologies
Normann, R. A., & Fernandez, E. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/13/6/061003 · Cited by 135 · see citing works
A review for the peripheral nerve interface designer
Larson, C. E., & Meng, E. (2020) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2019.108523 · Cited by 133 · see citing works
In Vivo Electrochemical Analysis of a PEDOT/MWCNT Neural Electrode Coating
Alba, N. A., Du, Z. J., Catt, K. A., Kozai, T. D. Y., & Cui, X. T. (2015) · Biosensors · doi:10.3390/bios5040618 · Cited by 135 · see citing works
Control of prosthetic hands via the peripheral nervous system
Ciancio, A. L., Cordella, F., Barone, R., Romeo, R. A., Bellingegni, A. D., Sacchetti, R., Davalli, A., Di Pino, G., Ranieri, F., Di Lazzaro, V., et al. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00116 · Cited by 131 · see citing works
Real-time simultaneous and proportional myoelectric control using intramuscular EMG
Smith, L. H., Kuiken, T., & Hargrove, L. J. (2014) · Journal of Neural Engineering · doi:10.1088/1741-2560/11/6/066013 · Cited by 128 · see citing works
Self-citationIson, M. R., Vujaklija, I., Whitsell, B., Farina, D., & Artemiadis, P. (2015) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2015.2417775 · Cited by 123 · see citing works
EMG-driven control in lower limb prostheses: a topic-based systematic review
Cimolato, A., Driessen, J. J. M., Mattos, L. S., Momi, E. D., Laffranchi, M., & Michieli, L. D. (2022) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-022-01019-1 · Cited by 122 · see citing works
The evolution of functional hand replacement: From iron prostheses to hand transplantation
Zuo, K. J., & Olson, J. L. (2014) · Plastic Surgery · doi:10.1177/229255031402200111 · Cited by 119 · see citing works
Development of a regenerative peripheral nerve interface for control of a neuroprosthetic limb
Urbanchek, M. G., Kung, T. A., Frost, C. M., Martin, D. C., Larkin, L. M., Wollstein, A., & Cederna, P. S. (2016) · BioMed Research International · doi:10.1155/2016/5726730 · Cited by 114 · see citing works
Interfaces with the Peripheral Nerve for the Control of Neuroprostheses
del Valle, J., & Navarro, X. (2013) · International Review of Neurobiology · doi:10.1016/b978-0-12-420045-6.00002-x · Cited by 105 · see citing works
Electroencephalography ( EEG )‐Based Brain–Computer Interfaces
Lotte, F., Bougrain, L., & Clerc, M. (2015) · Wiley eBooks · doi:10.1002/047134608x.w8278 · Cited by 102 · see citing works
Schweitzer, W., Thali, M. J., & Egger, D. (2018) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-017-0340-0 · Cited by 98 · see citing works
Global cortical activity predicts shape of hand during grasping
Agashe, H. A., Paek, A. Y., Zhang, Y., & Contreras-Vidal, J. L. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2015.00121 · Cited by 93 · see citing works
Guo, L., Sandsjö, L., Ortiz-Catalan, M., & Skrifvars, M. (2019) · Textile Research Journal · doi:10.1177/0040517519858768 · Cited by 92 · see citing works
On prosthetic control: A regenerative agonist-antagonist myoneural interface
Srinivasan, S. S., Carty, M. J., Calvaresi, P., Clites, T. R., Maimon, B. E., Taylor, C. R., Zorzos, A. N., & Herr, H. (2017) · Science Robotics · doi:10.1126/scirobotics.aan2971 · Cited by 92 · see citing works
Franzke, A. W., Kristoffersen, M., Bongers, R. M., Murgia, A., Pobatschnig, B., Unglaube, F., & van der Sluis, C. K. (2019) · PLoS ONE · doi:10.1371/journal.pone.0220899 · Cited by 89 · see citing works
Implementation of a Brain-Computer Interface on a Lower-Limb Exoskeleton
Wang, C., Wu, X., Wang, Z., & Ma, Y. (2018) · IEEE Access · doi:10.1109/access.2018.2853628 · Cited by 89 · see citing works
“At presents, BCI techniques have been developed to allow humans to control robots arms [1] and wheelchairs [2].”
MethodThe Evolution of Neuroprosthetic Interfaces
Adewole, D. O., Serruya, M. D., Harris, J. P., Burrell, J. C., Petrov, D., Chen, H.-C. I., Wolf, J. A., & Cullen, D. K. (2016) · Critical Reviews in Biomedical Engineering · doi:10.1615/critrevbiomedeng.2016017198 · Cited by 81 · see citing works
The science and engineering behind sensitized brain-controlled bionic hands
Pandarinath, C., & Bensmaı̈a, S. J. (2021) · Physiological Reviews · doi:10.1152/physrev.00034.2020 · Cited by 76 · see citing works
Valerio, I. L., Schulz, S. A., West, J. M., Westenberg, R. F., & Eberlin, K. R. (2020) · Plastic & Reconstructive Surgery Global Open · doi:10.1097/gox.0000000000002689 · Cited by 80 · see citing works
Kamavuako, E. N., Farina, D., Yoshida, K., & Jensen, W. (2011) · Annals of Biomedical Engineering · doi:10.1007/s10439-011-0438-7 · Cited by 73 · see citing works
Innovations in Prosthetic Interfaces for the Upper Extremity
Kung, T. A., Bueno, R. A., Alkhalefah, G. K., Langhals, N. B., Urbanchek, M. G., & Cederna, P. S. (2013) · Plastic and Reconstructive Surgery · doi:10.1097/prs.0b013e3182a97e5f · Cited by 71 · see citing works
Peripheral nerve bionic interface: a review of electrodes
Russell, C., Roche, A. D., & Chakrabarty, S. (2019) · International Journal of Intelligent Robotics and Applications · doi:10.1007/s41315-019-00086-3 · Cited by 67 · see citing works
The evolution of functional hand replacement: From iron prostheses to hand transplantation.
Zuo, K. J., & Olson, J. L. (2014) · Europe PMC (PubMed Central) · Cited by 69 · see citing works
An Artificial Olfactory System Based on a Chemi‐Memristive Device
Chun, S. Y., Song, Y. G., Kim, J. E., Kwon, J. U., Soh, K., Kwon, J. Y., Kang, C., & Yoon, J. H. (2023) · Advanced Materials · doi:10.1002/adma.202302219 · Cited by 68 · see citing works
Motor unit drive: a neural interface for real-time upper limb prosthetic control
Twardowski, M. D., Roy, S. H., Li, Z., Contessa, P., Luca, G. D., & Kline, J. C. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aaeb0f · Cited by 64 · see citing works
Chen, N., Luo, B., Patil, A. C., Wang, J., Gammad, G. G. L., Yi, Z., Liu, X., Yen, S.-C., Ramakrishna, S., & Thakor, N. V. (2020) · ACS Nano · doi:10.1021/acsnano.0c00672 · Cited by 64 · see citing works
Motor-commands decoding using peripheral nerve signals: a review
Hong, K.-S., Aziz, N., & Ghafoor, U. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aab383 · Cited by 63 · see citing works
Repeated Training with Augmentative Vibrotactile Feedback Increases Object Manipulation Performance
Stepp, C. E., An, Q., & Matsuoka, Y. (2012) · PLoS ONE · doi:10.1371/journal.pone.0032743 · Cited by 61 · see citing works
Soft Robotics Enables Neuroprosthetic Hand Design
Gu, G., Zhang, N., Chen, C., Xu, H., & Zhu, X. (2023) · ACS Nano · doi:10.1021/acsnano.3c01474 · Cited by 60 · see citing works
Recent Trends in EMG-Based Control Methods for Assistive Robots
Gopura, R. A. R. C., Bandara, D. S. V., Gunasekara, J. M. P., & S., T. (2013) · InTech eBooks · doi:10.5772/56174 · Cited by 59 · see citing works
Prostheses as extensions of the body: Progress and challenges
Niedernhuber, M., Barone, D. G., & Lenggenhager, B. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.04.020 · Cited by 58 · see citing works
Vu, P. P., Vaskov, A. K., Lee, C., Jillala, R., Wallace, D. M., Davis, A. J., Kung, T. A., Kemp, S. W. P., Gates, D. H., Chestek, C. A., et al. (2023) · Journal of Neural Engineering · doi:10.1088/1741-2552/accb0c · Cited by 54 · see citing works
E-Skins: Biomimetic Sensing and Encoding for Upper Limb Prostheses
Iskarous, M. M., & Thakor, N. V. (2019) · Proceedings of the IEEE · doi:10.1109/jproc.2019.2939369 · Cited by 54 · see citing works
Clites, T. R., Carty, M. J., Srinivasan, S. S., Zorzos, A. N., & Herr, H. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa614b · Cited by 53 · see citing works
A bioelectric neural interface towards intuitive prosthetic control for amputees
Nguyen, A. T., Xu, J., Jiang, M., Luu, D. K., Wu, T., Tam, W.-K., Zhao, W., Drealan, M. W., Overstreet, C. K., Zhao, Q., et al. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/abc3d3 · Cited by 52 · see citing works
Neural signal recording and processing in somatic neuroprosthetic applications. A review
Raspopović, S., Cimolato, A., Panarese, A., Vallone, F., del Valle, J., Micera, S., & Navarro, X. (2020) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2020.108653 · Cited by 51 · see citing works
Motor control and learning with lower-limb myoelectric control in amputees
Alcaide-Aguirre, R. E., Morgenroth, D. C., & Ferris, D. P. (2013) · The Journal of Rehabilitation Research and Development · doi:10.1682/jrrd.2012.06.0115 · Cited by 45 · see citing works
Improving sEMG-based motion intention recognition for upper-limb amputees using transfer learning
Fan, J., Jiang, M., Lin, C., Li, G., Fiaidhi, J., Ma, C., & Wu, W. (2021) · Neural Computing and Applications · doi:10.1007/s00521-021-06292-0 · Cited by 43 · see citing works
Effects of kinematic vibrotactile feedback on learning to control a virtual prosthetic arm
Hasson, C. J., & Manczurowsky, J. (2015) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-015-0025-5 · Cited by 43 · see citing works
Cobo, A., Larson, C. E., Scholten, K., Miranda, J. A., Elyahoodayan, S., Song, D. B., Pikov, V., & Meng, E. F. (2018) · Journal of Microelectromechanical Systems · doi:10.1109/jmems.2018.2881908 · Cited by 43 · see citing works
A review on hybrid myoelectric control systems for upper limb prosthesis
Madusanka, D. G. K., Wijayasingha, L. N., Gopura, R. A. R. C., Amarasinghe, Y. W. R., & Mann, G. K. I. (2015) · Moratuwa Engineering Research Conference (MERCon) · doi:10.1109/mercon.2015.7112334 · Cited by 42 · see citing works
Bladder Monitoring Systems: State of the Art and Future Perspectives
Semproni, F., Iacovacci, V., & Menciassi, A. (2022) · IEEE Access · doi:10.1109/access.2022.3221816 · Cited by 39 · see citing works
Evaluation of EMG, force and joystick as control interfaces for active arm supports
Lobo-Prat, J., Keemink, A. Q. L., Stienen, A. H. A., Schouten, A. C., Veltink, P. H., & Koopman, H. F. J. M. (2014) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-11-68 · Cited by 37 · see citing works
Fascicular nerve stimulation and recording using a novel double-aisle regenerative electrode
Delgado-Martínez, I., Righi, M., Santos, D., Cutrone, A., Bossi, S., D’Amico, S., Del Valle, J., Micera, S., & Navarro, X. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa6bac · Cited by 35 · see citing works
Towards Control of a Transhumeral Prosthesis with EEG Signals
Bandara, D. S. V., Arata, J., & Kiguchi, K. (2018) · Bioengineering · doi:10.3390/bioengineering5020026 · Cited by 35 · see citing works
Development of Soft sEMG Sensing Structures Using 3D-Printing Technologies
Wolterink, G., Dias, P., Sanders, R. G. P., Muijzer, F., van Beijnum, B.-J. F., Veltink, P. H., & Krijnen, G. J. M. (2020) · Sensors · doi:10.3390/s20154292 · Cited by 35 · see citing works
Independent Long Fingers are not Essential for a Grasping Hand
Montagnani, F., Controzzi, M., & Cipriani, C. (2016) · Scientific Reports · doi:10.1038/srep35545 · Cited by 34 · see citing works
Gaston, R. G., Bracey, J. W., Tait, M. A., & Loeffler, B. J. (2018) · The Journal Of Hand Surgery · doi:10.1016/j.jhsa.2018.04.009 · Cited by 34 · see citing works
Development of nanoparticle film-based multi-axial tactile sensors for biomedical applications
Alvares, D., Wieczorek, L., Raguse, B., Ladouceur, F. J., & Lovell, N. H. (2013) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2013.03.021 · Cited by 33 · see citing works
Recent advances in bioelectric prostheses
Pasquina, P. F., Perry, B. N., Miller, M. E., Ling, G. S. F., & Tsao, J. W. (2015) · Neurology Clinical Practice · doi:10.1212/cpj.0000000000000132 · Cited by 33 · see citing works
The future of upper extremity rehabilitation robotics: research and practice
Vu, P. P., Chestek, C. A., Nason, S. R., Kung, T. A., Kemp, S. W. P., & Cederna, P. S. (2020) · Muscle & Nerve · doi:10.1002/mus.26860 · Cited by 32 · see citing works
Sensory Feedback for Upper-Limb Prostheses: Opportunities and Barriers
Jabban, L., Dupan, S. S. G., Zhang, D., Ainsworth, B., Nazarpour, K., & Metcalfe, B. (2022) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2022.3159186 · Cited by 30 · see citing works
Nsugbe, E. (2021) · Journal of Medical Engineering & Technology · doi:10.1080/03091902.2020.1854357 · Cited by 30 · see citing works
In vivo biocompatibility of porous and non-porous polypyrrole based trilayered actuators
Zhang, B. G. X., Spinks, G. M., Gorkin, R. A., III, Sangian, D., Bella, C. D., Quigley, A. F., Kapsa, R. M. I., Wallace, G. G., & Choong, P. (2017) · Journal of Materials Science Materials in Medicine · doi:10.1007/s10856-017-5979-3 · Cited by 28 · see citing works
The evolution of functional hand replacement: From iron prostheses to hand transplantation
Zuo, K. J., & Olson, J. L. (2014) · Plastic Surgery · doi:10.4172/plastic-surgery.1000852 · Cited by 28 · see citing works
Elyahoodayan, S., Larson, C. E., Cobo, A., Meng, E. F., & Song, D. B. (2020) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2020.108634 · Cited by 25 · see citing works
da Fonseca, L. O., Tigra, W., Navarro, B., Guiraud, D., Fattal, C., Bó, A. P. L., Fachin‐Martins, E., Leynaert, V., Gélis, A., & Coste, C. (2019) · Sensors · doi:10.3390/s19204532 · Cited by 25 · see citing works
Toward the Development of User-Centered Neurointegrated Lower Limb Prostheses
Barberi, F., Anselmino, E., Mazzoni, A., Goldfarb, M. T., & Micera, S. (2023) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2023.3309328 · Cited by 25 · see citing works
Real-Time Intent Sensing for Assistive Devices with Implications for Minimising Maintenance
Russell, J., & Bergmann, J. (2023) · Prosthesis · doi:10.3390/prosthesis5020031 · Cited by 23 · see citing works
Combined use of sEMG and accelerometer in hand motion classification considering forearm rotation
Peng, L., Hou, Z., Chen, Y., Wang, W., Tong, L., & Li, P. (2013) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2013.6610478 · Cited by 23 · see citing works
Deep Learning-Based Approaches for Decoding Motor Intent From Peripheral Nerve Signals
Luu, D. K., Nguyen, A. T., Jiang, M. X., Xu, J., Drealan, M. W., Cheng, J., Keefer, E. W., Zhao, Q., & Yang, Z. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.667907 · Cited by 23 · see citing works
A wireless, smart EEG system for volitional control of lower-limb prosthesis
Bai, O., Kelly, G., Fei, D.-Y., Murphy, D., Fox, J., Burkhardt, B., Lovegreen, W. T., & Soars, J. (2015) · IEEE Region 10 Conference (TENCON) · doi:10.1109/tencon.2015.7373060 · Cited by 22 · see citing works
E-skin and wearable systems for health care
Navaraj, W. T., Smith, C., & Dahiya, R. (2020) · Elsevier eBooks · doi:10.1016/b978-0-08-102407-2.00006-0 · Cited by 23 · see citing works
Development of a control system for artificially rehabilitated limbs: a review
Bhuiyan, M. S. H., Choudhury, I. A., & Dahari, M. (2014) · Biological Cybernetics · doi:10.1007/s00422-014-0635-1 · Cited by 21 · see citing works
Microelectrode Array Recordings from the Ventral Roots in Chronically Implanted Cats
Debnath, S., Bauman, M. J., Fisher, L. E., Weber, D. J., & Gaunt, R. A. (2014) · Frontiers in Neurology · doi:10.3389/fneur.2014.00104 · Cited by 21 · see citing works
Maciejasz, P., Badía, J., Boretius, T., Andreu, D., Stieglitz, T., Jensen, W., Navarro, X., & Guiraud, D. (2015) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-015-1244-4 · Cited by 20 · see citing works
Development of a Prototype Over-Actuated Biomimetic Prosthetic Hand
Williams, M. R., & Walter, W. (2015) · PLoS ONE · doi:10.1371/journal.pone.0118817 · Cited by 18 · see citing works
Lobo-Prat, J., Nizamis, K., Janssen, M. M. H. P., Keemink, A. Q. L., Veltink, P. H., Koopman, H. F. J. M., & Stienen, A. H. A. (2017) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-017-0282-6 · Cited by 18 · see citing works
Jarque-Bou, N. J., Vergara, M., Sancho-Bru, J. L., Roda-Sales, A., & Gracia-Ibáñez, V. (2018) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-018-0437-0 · Cited by 18 · see citing works
Polyphenol‐Mediated Multifunctional Human–Machine Interface Hydrogel Electrodes in Bioelectronics
Jiang, L., Gan, D., Xu, C., Zhang, T., Gao, M., Xie, C., Zhang, D., & Lu, X. (2024) · Small Science · doi:10.1002/smsc.202400362 · Cited by 17 · see citing works
Zangene, A. R., Abbasi, A., & Nazarpour, K. (2021) · Sensors · doi:10.3390/s21237773 · Cited by 17 · see citing works
Surface EMG signals in very late-stage of Duchenne muscular dystrophy: a case study
Lobo-Prat, J., Janssen, M. M. H. P., Koopman, H. F. J. M., Stienen, A. H. A., & de Groot, I. J. M. (2017) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-017-0292-4 · Cited by 17 · see citing works
Advances in Implantable Microelectrode Array Insertion and Positioning
Atkinson, D., D'Souza, T. M., Rajput, J. S., Tasnim, N., Muthuswamy, J., Marvi, H., & Pancrazio, J. J. (2021) · Neuromodulation Technology at the Neural Interface · doi:10.1111/ner.13355 · Cited by 16 · see citing works
Regenerative peripheral nerve interfaces (RPNIs): current status and future direction
Burke, K. L., Kung, T. A., Hooper, R. C., Kemp, S. W. P., & Cederna, P. S. (2022) · Plastic and Aesthetic Research · doi:10.20517/2347-9264.2022.26 · Cited by 15 · see citing works
Hybrid Vision Based Reach-to-Grasp Task Planning Method for Trans-Humeral Prostheses
Madusanka, D. G. K., Gopura, R. A. R. C., Amarasinghe, Y. W. R., & Mann, G. K. I. (2017) · IEEE Access · doi:10.1109/access.2017.2727502 · Cited by 16 · see citing works
Buccino, F., Bunt, A., Lazell, A., & Vergani, L. M. (2022) · Materials · doi:10.3390/ma15072456 · Cited by 15 · see citing works
3D-printing soft sEMG sensing structures
Wolterink, G., Sanders, R., Muijzer, F., van Beijnum, B.-J. F., & Krijnen, G. J. M. (2017) · Proceedings of IEEE Sensors/Proceedings of IEEE Sensors ... · doi:10.1109/icsens.2017.8233935 · Cited by 15 · see citing works
Jeong, J., Jung, W., Kim, O., Chu, J.-U., Youn, I., Kim, K., Oh, S. R., Park, J. W., & Kim, J. (2016) · 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob) · doi:10.1109/biorob.2016.7523786 · Cited by 14 · see citing works
Regenerative engineering and bionic limbs
James, R., & Laurencin, C. T. (2015) · Rare Metals · doi:10.1007/s12598-015-0446-0 · Cited by 14 · see citing works
A passive wrist with switchable stiffness for a body-powered hydraulically actuated hand prosthesis
Montagnani, F., Smit, G., Controzzi, M., Cipriani, C., & Plettenburg, D. H. (2017) · International Conference on Rehabilitation Robotics · doi:10.1109/icorr.2017.8009412 · Cited by 14 · see citing works
Rodríguez‐Meana, B., Santos-Nogueira, E., Trujillo-Vázquez, S., Jakob, A., Udina, E., Fournelle, M., & Navarro, X. (2024) · Frontiers in Neurology · doi:10.3389/fneur.2024.1346412 · Cited by 12 · see citing works
Imitation of hand and tool actions is effector-independent
van Elk, M., van Schie, H. T., & Harold Bekkering, A. (2011) · Experimental Brain Research · doi:10.1007/s00221-011-2852-3 · Cited by 13 · see citing works
Min, J.-O., Kim, S. Y., Shin, U. S., & Yoon, B. (2015) · Journal of Nanobiotechnology · doi:10.1186/s12951-015-0152-y · Cited by 14 · see citing works
Introduction to Upper Limb Prosthetics
Graimann, B., & Dietl, H. (2013) · Wiley eBooks · doi:10.1002/9781118628522.ch14 · Cited by 12 · see citing works
Improving Motion Intention Recognition for Trans-Radial Amputees Based on sEMG and Transfer Learning
Lin, C., Niu, X., Zhang, J., & Fu, X. (2023) · Applied Sciences · doi:10.3390/app131911071 · Cited by 12 · see citing works
- Authors
- Schultz, A. E., & Kuiken, T. A.
- Affiliations
- Shirley Ryan AbilityLab (US)
- Northwestern University (US)
- Corresponding author
- Schultz, Aimee E.
- ORCID
- Kuiken, Todd A.
- Venue
- PM&R
- Publisher
- Wiley
- Published
- 2011-01
- Volume
- 3
- Issue
- 1
- Pages
- 55-67
- ISSN
- 1934-1482 (ISSN-L)
- 1934-1563
- OpenAlex
- W2014958857
- Cited by
- 186
- References
- 101
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 10 · 2023: 9 · 2022: 16 · 2021: 12 · 2020: 16 · 2019: 13 · 2018: 12 · 2017: 16 · 2016: 12 · 2015: 24 · 2014: 13 · 2013: 15 · 2012: 3
- FWCI
- 1.16
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- PM&R (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Keywords
- neural interfaces, upper limb prosthesis, amputation, prosthetic control, invasive neural recording, brain-computer interface, prosthesis abandonment
- MeSH terms
- Amputees, Artificial Limbs, Brain, Electrodes, Implanted, Electroencephalography, Humans, Membrane Potentials, Pattern Recognition, Automated, Upper Extremity, Neurofeedback
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