765 results on '"Scott, Stephen H."'
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2. Impairments of the ipsilesional upper-extremity in the first 6-months post-stroke
3. Correction: Statistical measures of motor, sensory and cognitive performance across repeated robot-based testing
4. Author Correction: Quantifying changes over 1 year in motor and cognitive skill after transient ischemic attack (TIA) using robotics
5. The use of machine learning and deep learning techniques to assess proprioceptive impairments of the upper limb after stroke
6. Robotic assessment of sensorimotor and cognitive deficits in patients with temporal lobe epilepsy
7. Rotational dynamics in motor cortex are consistent with a feedback controller
8. Transcranial magnetic stimulation in non-human primates: A systematic review
9. Principal component analysis of whole-body kinematics using markerless motion capture during static balance tasks
10. Parallel feedback processing for voluntary control: knowledge of spinal feedback in motor cortex
11. Added cognitive demand from increased sensorimotor complexity resulted in better goal-directed movement following stroke: a novel finding in post-stroke recovery
12. Optimizing Stroke Detection Using Evidential Networks and Uncertainty-Based Refinement
13. High intra-task and low inter-task correlations of motor skills in humans creates an individualized behavioural pattern
14. Quantitatively assessing aging effects in rapid motor behaviours: a cross-sectional study
15. Investigating the neuroanatomy underlying proprioception using a stroke model
16. Rapid Online Corrections for Proprioceptive and Visual Perturbations Recruit Similar Circuits in Primary Motor Cortex
17. Markerless Motion Capture is Sensitive to Postural Balance Parameters in a Stroke Population
18. Robotic Assessment of Upper Limb Function in a Nonhuman Primate Model of Chronic Stroke
19. Assessment of spatiotemporal gait parameters using a deep learning algorithm-based markerless motion capture system
20. Quantifying changes over 1 year in motor and cognitive skill after transient ischemic attack (TIA) using robotics
21. Robot enhanced stroke therapy optimizes rehabilitation (RESTORE): a pilot study
22. Differential loss of position sense and kinesthesia in sub-acute stroke
23. Quantified pre-operative neurological dysfunction predicts outcome after coronary artery bypass surgery
24. Vision of the upper limb fails to compensate for kinesthetic impairments in subacute stroke
25. Robotic technology provides objective and quantifiable metrics of neurocognitive functioning in survivors of critical illness:A feasibility study
26. Robotic tests for position sense and movement discrimination in the upper limb reveal that they each are highly reproducible but not correlated in healthy individuals
27. Statistical measures of motor, sensory and cognitive performance across repeated robot-based testing
28. Impairments of the arm and hand are highly correlated during subacute stroke
29. Quantifying Effects of Dataset Size, Data Variability, and Data Curvature on Modelling of Simulated Age-Related Motor Development Data
30. Putting Sensory Back into Voluntary Motor Control
31. A postural unloading task to assess fast corrective responses in the upper limb following stroke
32. Movement kinematics and proprioception in post-stroke spasticity: assessment using the Kinarm robotic exoskeleton
33. Vision does not always help stroke survivors compensate for impaired limb position sense
34. Integrated robotics platform with haptic control differentiates subjects with Parkinson’s disease from controls and quantifies the motor effects of levodopa
35. Taking Proportional Out of Stroke Recovery
36. Directional and general impairments in initiating motor responses after stroke
37. Capacity limits lead to information bottlenecks in ongoing rapid motor behaviours
38. Neurological Impairment in Critically Ill Patients on Dialysis: Research Letter for the INCOGNITO-AKI Feasibility Study
39. Central perception of position sense involves a distributed neural network – Evidence from lesion-behavior analyses
40. Additional file 1 of The use of machine learning and deep learning techniques to assess proprioceptive impairments of the upper limb after stroke
41. Response by Hawe et al to Letter Regarding Article, “Taking Proportional Out of Stroke Recovery”
42. Informed consent practices in clinical research: present and future.
43. Proprioceptive and Visual Feedback Responses in Macaques Exploit Goal Redundancy
44. Decision letter: Sensorimotor feedback loops are selectively sensitive to reward
45. Assessment of Neurological Impairment and Recovery Using Statistical Models of Neurologically Healthy Behavior
46. Using Robotics to Quantify Impairments in Sensorimotor Ability, Visuospatial Attention, Working Memory, and Executive Function After Traumatic Brain Injury
47. Clinical, Neuroimaging and Robotic Measures Predict Long-Term Proprioceptive Impairments following Stroke.
48. Assessment of Neurological Impairment and Recovery Using Statistical Models of Neurologically Healthy Behavior.
49. Using principal component analysis to reduce complex datasets produced by robotic technology in healthy participants
50. Synthesizing Supervisors with a Minimum Control Base for Discrete-Event Systems
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