Hand-in-hand advances in biomedical engineering and sensorimotor restoration
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Silvio Ionta | Iolanda Pisotta | David Perruchoud | I. Pisotta | S. Ionta | David Perruchoud | D. Perruchoud
[1] V. Dietz. Body weight supported gait training: From laboratory to clinical setting , 2009, Brain Research Bulletin.
[2] Krishna V. Shenoy,et al. Combining Decoder Design and Neural Adaptation in Brain-Machine Interfaces , 2014, Neuron.
[3] Olaf Blanke,et al. Anatomically plausible illusory posture affects mental rotation of body parts , 2013, Cognitive, affective & behavioral neuroscience.
[4] B. Rockstroh,et al. Area-specific self-regulation of slow cortical potentials on the sagittal midline and its effects on behavior. , 1992, Electroencephalography and clinical neurophysiology.
[5] Michael J. Black,et al. Decoding Complete Reach and Grasp Actions from Local Primary Motor Cortex Populations , 2010, The Journal of Neuroscience.
[6] O. Blanke,et al. Differential influence of hands posture on mental rotation of hands and feet in left and right handers , 2009, Experimental Brain Research.
[7] V. Dietz,et al. Neurological aspects of spinal-cord repair: promises and challenges , 2006, The Lancet Neurology.
[8] Edward M. Schmidt,et al. Single neuron recording from motor cortex as a possible source of signals for control of external devices , 2006, Annals of Biomedical Engineering.
[9] Mary Y. Harley,et al. Implanted neuroprosthesis for assisting arm and hand function after stroke: a case study. , 2012, Journal of rehabilitation research and development.
[10] Arcangelo Merla,et al. Step‐by‐step: The effects of physical practice on the neural correlates of locomotion imagery revealed by fMRI , 2009, Human brain mapping.
[11] Nicholas G. Hatsopoulos,et al. Brain-machine interface: Instant neural control of a movement signal , 2002, Nature.
[12] E. Fetz. Operant Conditioning of Cortical Unit Activity , 1969, Science.
[13] E. Marsolais,et al. Walking with a hybrid orthosis system , 1999, Spinal Cord.
[14] Christian Antfolk,et al. Sensory feedback in upper limb prosthetics , 2013, Expert review of medical devices.
[15] C. Neuper,et al. Combining Brain–Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges , 2010, Front. Neurosci..
[16] T. Sinkjaer,et al. Clinical evaluation of Functional Electrical Therapy in acute hemiplegic subjects. , 2003, Journal of rehabilitation research and development.
[17] José Luis Contreras-Vidal,et al. Reconstructing hand kinematics during reach to grasp movements from electroencephalographic signals , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[18] S. Micera,et al. In Human Implant of Intraneural Multielectrodes for Controlling a 5-Fingered Hand Prosthesis and Delivering Sensorial Feedback , 2012 .
[19] Markus Reischl,et al. OrthoJacket: an active FES-hybrid orthosis for the paralysed upper extremity , 2011, Biomedizinische Technik. Biomedical engineering.
[20] J. Fridén,et al. Brachialis-to-extensor carpi radialis longus selective nerve transfer to restore wrist extension in tetraplegia: case report. , 2012, The Journal of hand surgery.
[21] C M Light,et al. Intelligent multifunction myoelectric control of hand prostheses , 2002, Journal of medical engineering & technology.
[22] F. Piccione,et al. P300-based brain computer interface: Reliability and performance in healthy and paralysed participants , 2006, Clinical Neurophysiology.
[23] Miguel A. L. Nicolelis,et al. Principles of neural ensemble physiology underlying the operation of brain–machine interfaces , 2009, Nature Reviews Neuroscience.
[24] S. Aglioti,et al. The body in the brain revisited , 2009, Experimental Brain Research.
[25] Michael J. Black,et al. Decoding grasp aperture from motor-cortical population activity , 2007, 2007 3rd International IEEE/EMBS Conference on Neural Engineering.
[26] L. Cohen,et al. Neuroplasticity in the context of motor rehabilitation after stroke , 2011, Nature Reviews Neurology.
[27] Chris Berka,et al. Drowsiness/alertness algorithm development and validation using synchronized EEG and cognitive performance to individualize a generalized model , 2011, Biological Psychology.
[28] E Donchin,et al. Brain-computer interface technology: a review of the first international meeting. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[29] Qinyin Qiu,et al. Journal of Neuroengineering and Rehabilitation Design of a Complex Virtual Reality Simulation to Train Finger Motion for Persons with Hemiparesis: a Proof of Concept Study , 2022 .
[30] Erich E. Sutter,et al. The brain response interface: communication through visually-induced electrical brain responses , 1992 .
[31] E. Fetz,et al. Correlations between activity of motor cortex cells and arm muscles during operantly conditioned response patterns , 1975, Experimental Brain Research.
[32] R. Riener,et al. Effects of intensive arm training with the rehabilitation robot ARMin II in chronic stroke patients: four single-cases , 2009, Journal of NeuroEngineering and Rehabilitation.
[33] D. J. Weber,et al. Limb-State Information Encoded by Peripheral and Central Somatosensory Neurons: Implications for an Afferent Interface , 2011, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[34] G. Berns,et al. BAD TO WORSE , 1975, The Lancet.
[35] C. Burgar,et al. Robot-assisted upper-limb therapy in acute rehabilitation setting following stroke: Department of Veterans Affairs multisite clinical trial. , 2011, Journal of rehabilitation research and development.
[36] K. Hiraki,et al. Rubber Hand Illusion under Delayed Visual Feedback , 2009, PloS one.
[37] Andrés Úbeda,et al. BMIs for Motor Rehabilitation: Key Concepts and Challenges , 2014 .
[38] M. Murray,et al. Focal dystonia and the Sensory-Motor Integrative Loop for Enacting (SMILE) , 2014, Front. Hum. Neurosci..
[39] F. Lacquaniti,et al. From Spinal Central Pattern Generators to Cortical Network: Integrated BCI for Walking Rehabilitation , 2012, Neural plasticity.
[40] Robert D. Lipschutz,et al. Robotic leg control with EMG decoding in an amputee with nerve transfers. , 2013, The New England journal of medicine.
[41] N. Thakor,et al. Electrocorticographic amplitude predicts finger positions during slow grasping motions of the hand , 2010, Journal of neural engineering.
[42] J. Wolpaw,et al. Brain–computer interfaces in neurological rehabilitation , 2008, The Lancet Neurology.
[43] L. Miller,et al. Restoring sensorimotor function through intracortical interfaces: progress and looming challenges , 2014, Nature Reviews Neuroscience.
[44] Vera Kaiser,et al. Hybrid brain-computer interfaces and hybrid neuroprostheses for restoration of upper limb functions in individuals with high-level spinal cord injury , 2013, Artif. Intell. Medicine.
[45] A. J. del-Ama,et al. Review of hybrid exoskeletons to restore gait following spinal cord injury. , 2012, Journal of rehabilitation research and development.
[46] H. Flor,et al. The thought translation device (TTD) for completely paralyzed patients. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[47] A Pouget,et al. Decoding M1 neurons during multiple finger movements. , 2007, Journal of neurophysiology.
[48] Kapil D. Katyal,et al. Behavioral Demonstration of a Somatosensory Neuroprosthesis , 2013, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[49] E. Donchin,et al. A P300-based brain–computer interface: Initial tests by ALS patients , 2006, Clinical Neurophysiology.
[50] John Porrill,et al. Cerebellar Motor Learning: When Is Cortical Plasticity Not Enough? , 2007, PLoS Comput. Biol..
[51] Silvestro Micera,et al. Control of Multifunctional Prosthetic Hands by Processing the Electromyographic Signal. , 2017, Critical reviews in biomedical engineering.
[52] J. del R. Millán,et al. Multimodal Fusion of Muscle and Brain Signals for a Hybrid-BCI , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.
[53] Agnès Roby-Brami,et al. Upper limb kinematics after cervical spinal cord injury: a review , 2015, Journal of NeuroEngineering and Rehabilitation.
[54] S. Grossberg,et al. A Self-Organizing Neural Model of Motor Equivalent Reaching and Tool Use by a Multijoint Arm , 1993, Journal of Cognitive Neuroscience.
[55] W.J. Tompkins,et al. Electrotactile and vibrotactile displays for sensory substitution systems , 1991, IEEE Transactions on Biomedical Engineering.
[56] Olaf Blanke,et al. Body Context and Posture Affect Mental Imagery of Hands , 2012, PloS one.
[57] J. Wolpaw,et al. Patients with ALS can use sensorimotor rhythms to operate a brain-computer interface , 2005, Neurology.
[58] Olaf Gefeller,et al. Epidemiology of Ischemic Stroke Subtypes According to TOAST Criteria: Incidence, Recurrence, and Long-Term Survival in Ischemic Stroke Subtypes: A Population-Based Study , 2001, Stroke.
[59] R. J. Vogelstein,et al. Restoring the sense of touch with a prosthetic hand through a brain interface , 2013, Proceedings of the National Academy of Sciences.
[60] M. Williams,et al. Evaluation of command sources for a high tetraplegia neural prosthesis , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[61] Miguel A. L. Nicolelis,et al. Brain–machine interfaces: past, present and future , 2006, Trends in Neurosciences.
[62] S. Aglioti,et al. The influence of hands posture on mental rotation of hands and feet , 2007, Experimental Brain Research.
[63] P. Brugger,et al. Mental rotation of congenitally absent hands , 2007, Journal of the International Neuropsychological Society.
[64] Jon A. Mukand,et al. Neuronal ensemble control of prosthetic devices by a human with tetraplegia , 2006, Nature.
[65] P. Rossini,et al. Double nerve intraneural interface implant on a human amputee for robotic hand control , 2010, Clinical Neurophysiology.
[66] T. Kuiken,et al. Sensory capacity of reinnervated skin after redirection of amputated upper limb nerves to the chest , 2009, Brain : a journal of neurology.
[67] M. Jeannerod. Neural Simulation of Action: A Unifying Mechanism for Motor Cognition , 2001, NeuroImage.
[68] David M. Santucci,et al. Learning to Control a Brain–Machine Interface for Reaching and Grasping by Primates , 2003, PLoS biology.
[69] Jose L Pons,et al. Converging clinical and engineering research on neurorehabilitation , 2013 .
[70] James A. Reggia,et al. Cortex inspired model for inverse kinematics computation for a humanoid robotic finger , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[71] M. Popovic,et al. Control of a neuroprosthesis for grasping using off-line classification of electrocorticographic signals: case study , 2009, Spinal Cord.
[72] Hyun-Chool Shin,et al. Asynchronous Decoding of Dexterous Finger Movements Using M1 Neurons , 2008, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[73] Miguel A. L. Nicolelis,et al. Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex , 1999, Nature Neuroscience.
[74] Shennan A. Weiss,et al. Behavioural neuroscience: Rat navigation guided by remote control , 2002, Nature.
[75] Jacob L. Segil,et al. Mechanical design and performance specifications of anthropomorphic prosthetic hands: a review. , 2013, Journal of rehabilitation research and development.
[76] Jonathan R Wolpaw,et al. Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[77] K. Dashtipour,et al. Evidence for the effectiveness of botulinum toxin for writer’s cramp , 2008, Journal of Neural Transmission.
[78] Olaf Blanke,et al. Mental Imagery for Full and Upper Human Bodies: Common Right Hemisphere Activations and Distinct Extrastriate Activations , 2010, Brain Topography.
[79] Silvia Conforto,et al. Biologically Inspired Modelling for the Control of Upper Limb Movements: From Concept Studies to Future Applications , 2009, Front. Neurorobot..
[80] L. Der-Yeghiaian,et al. Robot-based hand motor therapy after stroke. , 2007, Brain : a journal of neurology.
[81] A. Nobunaga,et al. Recent demographic and injury trends in people served by the Model Spinal Cord Injury Care Systems. , 1999, Archives of physical medicine and rehabilitation.
[82] S. Adamovich,et al. Sensorimotor Training in a Virtual Reality Environment: Does It Improve Functional Recovery Poststroke? , 2006, Neurorehabilitation and neural repair.
[83] Hannes P. Saal,et al. Touch is a team effort: interplay of submodalities in cutaneous sensibility , 2014, Trends in Neurosciences.
[84] M. Molinari,et al. Rehabilitation of gait after stroke: a review towards a top-down approach , 2011, Journal of NeuroEngineering and Rehabilitation.
[85] Hannes Bleuler,et al. Active tactile exploration enabled by a brain-machine-brain interface , 2011, Nature.
[86] N. Hogan,et al. Overview of clinical trials with MIT-MANUS: a robot-aided neuro-rehabilitation facility. , 1999, Technology and health care : official journal of the European Society for Engineering and Medicine.
[87] G E Loeb,et al. BION system for distributed neural prosthetic interfaces. , 2001, Medical engineering & physics.
[88] H. Flor,et al. A spelling device for the paralysed , 1999, Nature.
[89] Stefan Hesse,et al. Transfer of scientific concepts to clinical practice: recent robot-assisted training studies. , 2009, Functional neurology.
[90] Nicolas Y. Masse,et al. Reach and grasp by people with tetraplegia using a neurally controlled robotic arm , 2012, Nature.
[91] Kathryn Ziegler-Graham,et al. Estimating the prevalence of limb loss in the United States: 2005 to 2050. , 2008, Archives of physical medicine and rehabilitation.
[92] E. Fetz,et al. Operantly conditioned patterns on precentral unit activity and correlated responses in adjacent cells and contralateral muscles. , 1973, Journal of neurophysiology.
[93] D. Zlotolow,et al. Advances in upper extremity prosthetics. , 2012, Hand clinics.
[94] J. Wolpaw,et al. Decoding flexion of individual fingers using electrocorticographic signals in humans , 2009, Journal of neural engineering.
[95] N. Birbaumer,et al. The thought translation device: a neurophysiological approach to communication in total motor paralysis , 1999, Experimental Brain Research.
[96] Maarten J. IJzerman,et al. Systematic review of the effect of robot-aided therapy on recovery of the hemiparetic arm after stroke. , 2006, Journal of rehabilitation research and development.
[97] P. Kennedy,et al. Restoration of neural output from a paralyzed patient by a direct brain connection , 1998, Neuroreport.
[98] G. Alon,et al. Functional Electrical Stimulation Enhancement of Upper Extremity Functional Recovery During Stroke Rehabilitation: A Pilot Study , 2007, Neurorehabilitation and neural repair.
[99] E. Fetz,et al. Operant Conditioning of Specific Patterns of Neural and Muscular Activity , 1971, Science.
[100] Paul S. Weiss,et al. The Brain Activity Map , 2013, Science.
[101] Jonathan D. Cohen,et al. Rubber hands ‘feel’ touch that eyes see , 1998, Nature.
[102] S. Grossberg,et al. A neural model of cerebellar learning for arm movement control: cortico-spino-cerebellar dynamics. , 1997, Learning & memory.