Cognitive and Physiological Intent for the Adaptation of Motor Prostheses

[1]  Loredana Zollo,et al.  Simultaneous sEMG Classification of Hand/Wrist Gestures and Forces , 2019, Front. Neurorobot..

[2]  H. Huang,et al.  Proportional Myoelectric Control of a Virtual Inverted Pendulum Using Residual Antagonistic Muscles: Toward Voluntary Postural Control , 2019, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[3]  Ahmed W. Shehata,et al.  When Less Is More – Discrete Tactile Feedback Dominates Continuous Audio Biofeedback in the Integrated Percept While Controlling a Myoelectric Prosthetic Hand , 2019, Front. Neurosci..

[4]  Ting Li,et al.  Decoding Voluntary Movement of Single Hand Based on Analysis of Brain Connectivity by Using EEG Signals , 2018, Front. Hum. Neurosci..

[5]  Attila Kertész-Farkas,et al.  GaIn: Human Gait Inference for Lower Limbic Prostheses for Patients Suffering from Double Trans-Femoral Amputation , 2018, Sensors.

[6]  P. Verschure,et al.  Self beyond the body: task-relevant distal cues modulate performance and body ownership , 2018, bioRxiv.

[7]  Lin Wang,et al.  A Novel Time-Domain Descriptor for Improved Prediction of Upper Limb Movement Intent in EMG-PR System , 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[8]  C. Spence,et al.  Body ownership and agency altered by an electromyographically controlled robotic arm , 2018, Royal Society Open Science.

[9]  Jason Friedman,et al.  Adding vibrotactile feedback to a myoelectric-controlled hand improves performance when online visual feedback is disturbed. , 2018, Human movement science.

[10]  Rafael Granja-Vazquez,et al.  Illusory movement perception improves motor control for prosthetic hands , 2018, Science Translational Medicine.

[11]  A. Wing,et al.  Functional Strength Training and Movement Performance Therapy for Upper Limb Recovery Early Poststroke—Efficacy, Neural Correlates, Predictive Markers, and Cost-Effectiveness: FAST-INdiCATE Trial , 2018, Front. Neurol..

[12]  Ferran Argelaguet,et al.  “Do You Feel in Control?”: Towards Novel Approaches to Characterise, Manipulate and Measure the Sense of Agency in Virtual Environments , 2018, IEEE Transactions on Visualization and Computer Graphics.

[13]  Roozbeh Atri,et al.  Electroencephalogram-Based Brain–Computer Interface and Lower-Limb Prosthesis Control: A Case Study , 2017, Front. Neurol..

[14]  Jinyi Guo,et al.  sEMG-based hand motion recognition by means of multi-class adaboost algorithm , 2017, 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[15]  Peter B. Shull,et al.  Configurable, wearable sensing and vibrotactile feedback system for real-time postural balance and gait training: proof-of-concept , 2017, Journal of NeuroEngineering and Rehabilitation.

[16]  Antonie J van den Bogert,et al.  Simulation Analysis of Linear Quadratic Regulator Control of Sagittal-Plane Human Walking-Implications for Exoskeletons. , 2017, Journal of biomechanical engineering.

[17]  Christina Zong-Hao Ma,et al.  A wearable vibrotactile biofeedback system improves balance control of healthy young adults following perturbations from quiet stance. , 2017, Human movement science.

[18]  R. Dar,et al.  The Sense of Agency Scale: A Measure of Consciously Perceived Control over One's Mind, Body, and the Immediate Environment , 2017, Front. Psychol..

[19]  Yanlong Song,et al.  Probability differently modulating the effects of reward and punishment on visuomotor adaptation , 2017, Experimental Brain Research.

[20]  F. Pozzi,et al.  Influence of weight bearing visual feedback on movement symmetry during sit to stand task , 2017, Clinical biomechanics.

[21]  M. Zappia,et al.  Computer-assisted cognitive rehabilitation on freezing of gait in Parkinson’s disease: A pilot study , 2017, Neuroscience Letters.

[22]  P. Verschure,et al.  Visuotactile integration modulates motor performance in a perceptual decision-making task , 2017, Scientific Reports.

[23]  Panagiotis Artemiadis,et al.  Physical Human–Robot Interaction (pHRI) in 6 DOF With Asymmetric Cooperation , 2017, IEEE Access.

[24]  Reva E. Johnson,et al.  Adaptation to random and systematic errors: Comparison of amputee and non-amputee control interfaces with varying levels of process noise , 2017, PloS one.

[25]  Sunil K. Agrawal,et al.  Variable Damping Force Tunnel for Gait Training Using ALEX III , 2017, IEEE Robotics and Automation Letters.

[26]  David X. Cifu,et al.  Neuroprosthetics in amputee and brain injury rehabilitation , 2017, Experimental Neurology.

[27]  James W. Moore,et al.  What Is the Sense of Agency and Why Does it Matter? , 2016, Front. Psychol..

[28]  Theocharis Kyriacou,et al.  Feasibility of using combined EMG and kinematic signals for prosthesis control: A simulation study using a virtual reality environment , 2016, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[29]  A. Konar,et al.  Vibrotactile feedback for conveying object shape information as perceived by artificial sensing of robotic arm , 2016, Cognitive Neurodynamics.

[30]  Ferran Argelaguet,et al.  The role of interaction in virtual embodiment: Effects of the virtual hand representation , 2016, 2016 IEEE Virtual Reality (VR).

[31]  Daniel Tan,et al.  Sensory feedback by peripheral nerve stimulation improves task performance in individuals with upper limb loss using a myoelectric prosthesis , 2016, Journal of neural engineering.

[32]  Andrew Y. Paek,et al.  An exploration of grip force regulation with a low-impedance myoelectric prosthesis featuring referred haptic feedback , 2015, Journal of NeuroEngineering and Rehabilitation.

[33]  Atsushi Yamashita,et al.  Evaluating effect of sense of ownership and sense of agency on body representation change of human upper limb , 2015, 2015 International Symposium on Micro-NanoMechatronics and Human Science (MHS).

[34]  Jungwon Yoon,et al.  A Portable Gait Asymmetry Rehabilitation System for Individuals with Stroke Using a Vibrotactile Feedback , 2015, BioMed research international.

[35]  Olaf Blanke,et al.  Visual Feedback Dominates the Sense of Agency for Brain-Machine Actions , 2015, PloS one.

[36]  P. Verschure,et al.  Erratum to: The visual amplification of goal-oriented movements counteracts acquired non-use in hemiparetic stroke patients , 2015, Journal of NeuroEngineering and Rehabilitation.

[37]  Axel Cleeremans,et al.  The relationship between human agency and embodiment , 2015, Consciousness and Cognition.

[38]  David Coyle,et al.  Empirical Evidence for a Diminished Sense of Agency in Speech Interfaces , 2015, CHI.

[39]  Z. Khazaeipour,et al.  Depression Following Spinal Cord Injury: Its Relationship to Demographic and Socioeconomic Indicators. , 2015, Topics in spinal cord injury rehabilitation.

[40]  Antonio Frisoli,et al.  An EMG-Controlled Robotic Hand Exoskeleton for Bilateral Rehabilitation , 2015, IEEE Transactions on Haptics.

[41]  Jungwon Yoon,et al.  Effects of kinesthetic haptic feedback on standing stability of young healthy subjects and stroke patients , 2015, Journal of NeuroEngineering and Rehabilitation.

[42]  R. Riener,et al.  Sonification and haptic feedback in addition to visual feedback enhances complex motor task learning , 2015, Experimental Brain Research.

[43]  Jeremy D. Thorne,et al.  Interplay of Agency and Ownership: The Intentional Binding and Rubber Hand Illusion Paradigm Combined , 2014, PloS one.

[44]  Paul F. Pasquina,et al.  Special Considerations for Multiple Limb Amputation , 2014, Current Physical Medicine and Rehabilitation Reports.

[45]  Siti Anom Ahmad,et al.  Cognitive impairment and memory dysfunction after a stroke diagnosis: a post-stroke memory assessment , 2014, Neuropsychiatric disease and treatment.

[46]  D. Coyle,et al.  The experience of agency in human-computer interactions: a review , 2014, Front. Hum. Neurosci..

[47]  Levi J Hargrove,et al.  A real-time comparison between direct control, sequential pattern recognition control and simultaneous pattern recognition control using a Fitts’ law style assessment procedure , 2014, Journal of NeuroEngineering and Rehabilitation.

[48]  Nitish V. Thakor,et al.  User Training for Pattern Recognition-Based Myoelectric Prostheses: Improving Phantom Limb Movement Consistency and Distinguishability , 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[49]  Kejun Zhang,et al.  An Upper-Limb Power-Assist Exoskeleton Using Proportional Myoelectric Control , 2014, Sensors.

[50]  Armin Fügenschuh,et al.  Modern Nonlinear Optimization Techniques for an Optimal Control of System Dynamics Models , 2014 .

[51]  M. Malini,et al.  Voice recognition and touch screen control based wheel chair for paraplegic persons , 2014, 2014 International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE).

[52]  P. Rossini,et al.  Restoring Natural Sensory Feedback in Real-Time Bidirectional Hand Prostheses , 2014, Science Translational Medicine.

[53]  A. Saide Sarigül,et al.  Some geometric, kinematic, and dynamic considerations on Stewart-Gough platforms with singularity analysis , 2013, Robotica.

[54]  Nivia Carballeira Suarez,et al.  Regaining health and wellbeing after traumatic spinal cord injury. , 2013, Journal of rehabilitation medicine.

[55]  R. Bjork,et al.  Learning Versus Performance , 2013, Perspectives on psychological science : a journal of the Association for Psychological Science.

[56]  Peter Wolf,et al.  Terminal Feedback Outperforms Concurrent Visual, Auditory, and Haptic Feedback in Learning a Complex Rowing-Type Task , 2013, Journal of motor behavior.

[57]  Leah R. Enders,et al.  Remote vibrotactile noise improves light touch sensation in stroke survivors’ fingertips via stochastic resonance , 2013, Journal of NeuroEngineering and Rehabilitation.

[58]  T. Hewett,et al.  Feedback Techniques to Target Functional Deficits Following Anterior Cruciate Ligament Reconstruction: Implications for Motor Control and Reduction of Second Injury Risk , 2013, Sports Medicine.

[59]  C. Wall,et al.  The effect of vibrotactile feedback on postural sway during locomotor activities , 2013, Journal of NeuroEngineering and Rehabilitation.

[60]  M. Brass,et al.  Feeling in control: Neural correlates of experience of agency , 2013, Cortex.

[61]  Stephen T. Foldes,et al.  Neuroprosthetic technology for individuals with spinal cord injury , 2013, The journal of spinal cord medicine.

[62]  Jerzy Sadowski,et al.  Benefits of Bandwidth Feedback in Learning a Complex Gymnastic Skill , 2013, Journal of human kinetics.

[63]  Takahiro Kawabe.  Inferring sense of agency from the quantitative aspect of action outcome , 2013, Consciousness and Cognition.

[64]  R. Riener,et al.  Augmented visual, auditory, haptic, and multimodal feedback in motor learning: A review , 2012, Psychonomic Bulletin & Review.

[65]  J. Allum,et al.  The effects of vibrotactile biofeedback training on trunk sway in Parkinson's disease patients. , 2012, Parkinsonism & related disorders.

[66]  Jeffrey T. Fairbrother,et al.  The Effects of Self-Controlled Video Feedback on the Learning of the Basketball Set Shot , 2012, Front. Psychology.

[67]  J. Nielsen,et al.  Twenty weeks of computer-training improves sense of agency in children with spastic cerebral palsy. , 2012, Research in developmental disabilities.

[68]  Panagiotis K. Artemiadis,et al.  Learning human reach-to-grasp strategies: Towards EMG-based control of robotic arm-hand systems , 2012, 2012 IEEE International Conference on Robotics and Automation.

[69]  Raviraj Nataraj,et al.  Comparing joint kinematics and center of mass acceleration as feedback for control of standing balance by functional neuromuscular stimulation , 2012, Journal of NeuroEngineering and Rehabilitation.

[70]  Per Ola Kristensson,et al.  I did that! Measuring users' experience of agency in their own actions , 2012, CHI 2012.

[71]  S. J. M. Bamberg,et al.  A Wireless Sensory Feedback Device for Real-Time Gait Feedback and Training , 2012, IEEE/ASME Transactions on Mechatronics.

[72]  P. Haggard,et al.  Automation Technology and Sense of Control: A Window on Human Agency , 2012, PloS one.

[73]  Miseon Shim,et al.  Brain Networks Responsible for Sense of Agency: An EEG Study , 2011, Clinical Neurophysiology.

[74]  M. Webster,et al.  Visual adaptation and face perception , 2011, Philosophical Transactions of the Royal Society B: Biological Sciences.

[75]  Sukhvinder S. Obhi,et al.  Sense of agency and intentional binding in joint action , 2011, Experimental Brain Research.

[76]  Joris M. Lambrecht,et al.  Virtual Reality Environment for Simulating Tasks With a Myoelectric Prosthesis: An Assessment and Training Tool , 2011, Journal of prosthetics and orthotics : JPO.

[77]  Peter Wolf,et al.  Visual and Auditory Augmented Concurrent Feedback in a Complex Motor Task , 2011, Presence Teleoperators Virtual Environ..

[78]  Herbert Heuer,et al.  Type of visual feedback during practice influences the precision of the acquired internal model of a complex visuo-motor transformation , 2011, Ergonomics.

[79]  Christian Antfolk,et al.  Using EMG for Real-time Prediction of Joint Angles to Control a Prosthetic Hand Equipped with a Sensory Feedback System , 2010 .

[80]  R Nataraj,et al.  Comprehensive Joint Feedback Control for Standing by Functional Neuromuscular Stimulation—A Simulation Study , 2010, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[81]  Dimitrios Tzovaras,et al.  The role of visual cues in the acquisition and transfer of a voluntary postural sway task. , 2010, Gait & posture.

[82]  Robert V Kenyon,et al.  A Pneumatic Glove and Immersive Virtual Reality Environment for Hand Rehabilitative Training After Stroke , 2010, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[83]  R. Riener,et al.  Path Control: A Method for Patient-Cooperative Robot-Aided Gait Rehabilitation , 2010, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[84]  C. Walsh,et al.  Concurrent Versus Terminal Feedback: It May Be Better to Wait , 2009, Academic medicine : journal of the Association of American Medical Colleges.

[85]  D. M. Jacobs,et al.  Self-controlled concurrent feedback and the education of attention towards perceptual invariants. , 2009, Human movement science.

[86]  R. Andersen,et al.  Decoding Trajectories from Posterior Parietal Cortex Ensembles , 2008, The Journal of Neuroscience.

[87]  Günter Hommel,et al.  A Human--Exoskeleton Interface Utilizing Electromyography , 2008, IEEE Transactions on Robotics.

[88]  Yohan Payan,et al.  Postural destabilization induced by trunk extensor muscles fatigue is suppressed by use of a plantar pressure-based electro-tactile biofeedback , 2008, European Journal of Applied Physiology.

[89]  S. Coquillart,et al.  Haptic Guidance Improves the Visuo-Manual Tracking of Trajectories , 2008, PloS one.

[90]  J. Lackner,et al.  Influences of arm proprioception and degrees of freedom on postural control with light touch feedback. , 2008, Journal of neurophysiology.

[91]  Sethuraman Panchanathan,et al.  Effect of fatigue on psychomotor and cognitive skills. , 2008, American journal of surgery.

[92]  K.J. Kyriakopoulos,et al.  EMG-based position and force control of a robot arm: Application to teleoperation and orthosis , 2007, 2007 IEEE/ASME international conference on advanced intelligent mechatronics.

[93]  Blair A. Lock,et al.  A Real-Time Pattern Recognition Based Myoelectric Control Usability Study Implemented in a Virtual Environment , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[94]  Shin-Ki Kim,et al.  A Supervised Feature-Projection-Based Real-Time EMG Pattern Recognition for Multifunction Myoelectric Hand Control , 2007, IEEE/ASME Transactions on Mechatronics.

[95]  T. Jung,et al.  Task performance and eye activity: predicting behavior relating to cognitive workload. , 2007, Aviation, space, and environmental medicine.

[96]  Levi J. Hargrove,et al.  A Comparison of Surface and Intramuscular Myoelectric Signal Classification , 2007, IEEE Transactions on Biomedical Engineering.

[97]  Ju-Ying Chang,et al.  Effectiveness of Two Forms of Feedback on Training of a Joint Mobilization Skill by Using a Joint Translation Simulator , 2007, Physical Therapy.

[98]  Shaun Gallagher,et al.  The natural philosophy of agency , 2007 .

[99]  Robert D. Lipschutz,et al.  Targeted reinnervation for enhanced prosthetic arm function in a woman with a proximal amputation: a case study , 2007, The Lancet.

[100]  J. Triano,et al.  Effects of visual feedback on manipulation performance and patient ratings. , 2006, Journal of manipulative and physiological therapeutics.

[101]  David T. Westwick,et al.  Identification of Multiple-Input Systems with Highly Coupled Inputs: Application to EMG Prediction from Multiple Intracortical Electrodes , 2006, Neural Computation.

[102]  J. Maunsell,et al.  Touching a Rubber Hand: Feeling of Body Ownership Is Associated with Activity in Multisensory Brain Areas , 2005, The Journal of Neuroscience.

[103]  R.Fff. Weir,et al.  A heuristic fuzzy logic approach to EMG pattern recognition for multifunctional prosthesis control , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[104]  Rajesh P. N. Rao,et al.  Real-Time Classification of Electromyographic Signals for Robotic Control , 2005, AAAI.

[105]  A. Badets,et al.  Observational Learning: Effects of Bandwidth Knowledge of Results , 2005, Journal of motor behavior.

[106]  Michael Recce,et al.  A Virtual RealityBased Exercise System for Hand Rehabilitation Post-Stroke , 2005, Presence: Teleoperators & Virtual Environments.

[107]  Gabriele Wulf,et al.  Self-Controlled Feedback Is Effective if It Is Based on the Learner's Performance , 2005, Research quarterly for exercise and sport.

[108]  Atsushi Sato,et al.  Illusion of sense of self-agency: discrepancy between the predicted and actual sensory consequences of actions modulates the sense of self-agency, but not the sense of self-ownership , 2005, Cognition.

[109]  R. Passingham,et al.  That's My Hand! Activity in Premotor Cortex Reflects Feeling of Ownership of a Limb , 2004, Science.

[110]  Ning Hu,et al.  Training for physical tasks in virtual environments: Tai Chi , 2003, IEEE Virtual Reality, 2003. Proceedings..

[111]  C. Shea,et al.  Principles derived from the study of simple skills do not generalize to complex skill learning , 2002, Psychonomic bulletin & review.

[112]  P. Haggard,et al.  Voluntary action and conscious awareness , 2002, Nature Neuroscience.

[113]  Frank Tendick,et al.  Haptic guidance: experimental evaluation of a haptic training method for a perceptual motor skill , 2002, Proceedings 10th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems. HAPTICS 2002.

[114]  S. Helme,et al.  Identifying cognitive engagement in the mathematics classroom , 2001 .

[115]  Charles H. Shea,et al.  Reduced-Frequency Concurrent and Terminal Feedback: A Test of the Guidance Hypothesis , 2000, Journal of motor behavior.

[116]  S. Gallagher.  Philosophical conceptions of the self: implications for cognitive science , 2000, Trends in Cognitive Sciences.

[117]  K A Dunn,et al.  Traumatic brain injury in the United States: A public health perspective. , 1999, The Journal of head trauma rehabilitation.

[118]  C. Shea,et al.  Enhancing motor learning through external-focus instructions and feedback , 1999 .

[119]  C. Shea,et al.  Frequent feedback enhances complex motor skill learning. , 1998, Journal of motor behavior.

[120]  E. Marsolais,et al.  Implanted Functional Neuromuscular Stimulation systems for individuals with cervical spinal cord injuries: clinical case reports. , 1996, Archives of physical medicine and rehabilitation.

[121]  H J Meeuwsen,et al.  Using bandwidth knowledge of results to alter relative frequencies during motor skill acquisition. , 1995, Research quarterly for exercise and sport.

[122]  N. Hogan,et al.  Multiple site electromyograph amplitude estimation , 1995, IEEE Transactions on Biomedical Engineering.

[123]  A. Jain,et al.  Extrinsic and Intrinsic Cue Effects on Perceptions of Store Brand Quality , 1994 .

[124]  D. V. Vander Linden,et al.  The effect of frequency of kinetic feedback on learning an isometric force production task in nondisabled subjects. , 1993, Physical therapy.

[125]  R. Schmidt,et al.  Augmented Kinematic Feedback for Motor Learning. , 1992, Journal of motor behavior.

[126]  Randall D. Beer,et al.  Robustness of a distributed neural network controller for locomotion in a hexapod robot , 1992, IEEE Trans. Robotics Autom..

[127]  D. C. Shapiro,et al.  Summary knowledge of results for skill acquisition: support for the guidance hypothesis. , 1989, Journal of experimental psychology. Learning, memory, and cognition.

[128]  D E Sherwood,et al.  Effect of Bandwidth Knowledge of Results on Movement Consistency , 1988, Perceptual and motor skills.

[129]  R. Schmidt,et al.  Knowledge of results and motor learning: a review and critical reappraisal. , 1984, Psychological bulletin.

[130]  Oluwarotimi Williams Samuel,et al.  A Robust Sparse Representation Based Pattern Recognition Approach for Myoelectric Control , 2018, IEEE Access.

[131]  Nikos G. Tsagarakis,et al.  A novel exoskeleton robotic system for hand rehabilitation - Conceptualization to prototyping , 2014 .

[132]  Ronald J. Triolo,et al.  Center of Mass Acceleration Feedback Control of Standing Balance by Functional Neuromuscular Stimulation Against External Postural Perturbations , 2013, IEEE Transactions on Biomedical Engineering.

[133]  S. Chatterji,et al.  Trends and Challenges in EMG Based Control Scheme of Exoskeleton Robots- A Review , 2012 .

[134]  Peter H Veltink,et al.  Hand-opening feedback for myoelectric forearm prostheses: performance in virtual grasping tasks influenced by different levels of distraction. , 2012, Journal of rehabilitation research and development.

[135]  Ryan James Farris,et al.  Design of a powered lower-limb exoskeleton and control for gait assistance in paraplegics , 2012 .

[136]  Marcia K. O'Malley,et al.  On the Efficacy of Haptic Guidance Schemes for Human Motor Learning , 2009 .

[137]  BioMed Central Review , 2003 .

[138]  D. Arciniegas,et al.  Cognitive impairment following traumatic brain injury , 2002, Current treatment options in neurology.

[139]  T J Carroll,et al.  Neural Adaptations to Resistance Training , 2001, Sports medicine.

[140]  Lynette A. Jones,et al.  Visual and haptic feedback in the control of force , 1999, Experimental Brain Research.

[141]  H C Diener,et al.  On the role of vestibular, visual and somatosensory information for dynamic postural control in humans. , 1988, Progress in brain research.

[142]  Sandeep K Subramanian,et al.  Journal of Neuroengineering and Rehabilitation Open Access Virtual Reality Environments for Post-stroke Arm Rehabilitation , 2022 .

[143]  P. Verschure,et al.  Journal of Neuroengineering and Rehabilitation the Visual Amplification of Goal-oriented Movements Counteracts Acquired Non-use in Hemiparetic Stroke Patients , 2022 .