| scholarly article | Q13442814 |
| review article | Q7318358 |
| P2093 | author name string | David J Reinkensmeyer | |
| Steven C Cramer | |||
| Jeremy L Emken | |||
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | robotics | Q170978 |
| P304 | page(s) | 497-525 | |
| P577 | publication date | 2004-01-01 | |
| P1433 | published in | Annual Review of Biomedical Engineering | Q4769667 |
| P1476 | title | Robotics, motor learning, and neurologic recovery | |
| P478 | volume | 6 |
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| Q36895432 | A biologically-inspired multi-joint soft exosuit that can reduce the energy cost of loaded walking |
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| Q30477351 | Augmented visual, auditory, haptic, and multimodal feedback in motor learning: A review |
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| Q41374256 | Developing a Gait Enhancing Mobile Shoe to Alter Over-Ground Walking Coordination. |
| Q58795493 | Editorial: Challenging the Functional Connectivity Disruption in Neurodegenerative Diseases: New Therapeutic Perspectives Through Non-invasive Neuromodulation and Cutting-Edge Technologies |
| Q43576466 | Effect of muscle fatigue on internal model formation and retention during reaching with the arm. |
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| Q30384604 | Movement Anticipation and EEG: Implications for BCI-Contingent Robot Therapy. |
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| Q36893123 | Reach adaptation: what determines whether we learn an internal model of the tool or adapt the model of our arm? |
| Q48384097 | Recumbent stepping has similar but simpler neural control compared to walking |
| Q92909953 | Relearning functional and symmetric walking after stroke using a wearable device: a feasibility study |
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| Q38169764 | Review on design and control aspects of ankle rehabilitation robots |
| Q41875643 | Robot application of elastic fields to the pelvis of the spinal transected rat: a tool for detailed assessment and rehabilitation |
| Q64093594 | Robot-Assisted Therapy in Upper Extremity Hemiparesis: Overview of an Evidence-Based Approach |
| Q36521158 | Robot-aided intensive training in post-stroke recovery |
| Q41815625 | Robot-assisted reaching exercise promotes arm movement recovery in chronic hemiparetic stroke: a randomized controlled pilot study |
| Q59697495 | Robotic and Wearable Sensor Technologies for Measurements/Clinical Assessments |
| Q37027416 | Robotic assessment of the influence of age on upper-limb sensorimotor function |
| Q48427241 | Robotic guidance benefits the learning of dynamic, but not of spatial movement characteristics |
| Q26996503 | Robotic technologies and rehabilitation: new tools for stroke patients' therapy |
| Q60950267 | Sensorimotor Robotic Measures of tDCS- and HD-tDCS-Enhanced Motor Learning in Children |
| Q39527466 | Short-Duration and Intensive Training Improves Long-Term Reaching Performance in Individuals With Chronic Stroke |
| Q37615524 | Small forces that differ with prior motor experience can communicate movement goals during human-human physical interaction |
| Q34373516 | Stroke Survivors' Gait Adaptations to a Powered Ankle Foot Orthosis |
| Q48183090 | The effects of error augmentation on learning to walk on a narrow balance beam |
| Q50744998 | The influence of robotic guidance on different types of motor timing. |
| Q48962044 | The nature of arm movement in children with cerebral palsy when using computer-generated exercise games |
| Q37078846 | Training and exercise to drive poststroke recovery |
| Q50062335 | Treatments to Promote Neural Repair after Stroke |
| Q59330017 | Trends in robot-assisted and virtual reality-assisted neuromuscular therapy: a systematic review of health-related multiplayer games |
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