about
Review of control strategies for robotic movement training after neurologic injuryThe effect of haptic guidance, aging, and initial skill level on motor learning of a steering task.Brain activation associated with active and passive lower limb stepping.Test-retest reliability of fMRI experiments during robot-assisted active and passive stepping.On the Modulation of Brain Activation During Simulated Weight Bearing in Supine Gait-Like Stepping.Detection of motor execution using a hybrid fNIRS-biosignal BCI: a feasibility study.Learning a locomotor task: with or without errors?Towards a BCI for sensorimotor training: initial results from simultaneous fNIRS and biosignal recordings.Effect of Error Augmentation on Brain Activation and Motor Learning of a Complex Locomotor Task.Comparison of error-amplification and haptic-guidance training techniques for learning of a timing-based motor task by healthy individuals.The effectiveness of robotic training depends on motor task characteristics.Evaluation of a mixed controller that amplifies spatial errors while reducing timing errors.Motor execution detection based on autonomic nervous system responses.The effect of haptic guidance and visual feedback on learning a complex tennis task.An fMRI pilot study to evaluate brain activation associated with locomotion adaptation.Optimizing learning of a locomotor task: amplifying errors as needed.The Effect of Haptic Guidance on Learning a Hybrid Rhythmic-Discrete Motor Task.Detecting motion intention in stroke survivors using autonomic nervous system responsesHaptic Error Modulation Outperforms Visual Error Amplification When Learning a Modified Gait PatternNeural circuits activated by error amplification and haptic guidance training techniques during performance of a timing-based motor task by healthy individualsTherapist-Guided Tablet-Based Telerehabilitation for Patients With Aphasia: Proof-of-Concept and Usability StudyValidity of pervasive computing based continuous physical activity assessment in community-dwelling old and oldest-oldMulti-purpose Robotic Training Strategies for Neurorehabilitation with Model Predictive ControllersVirtual Reality Environments and Haptic Strategies to Enhance Implicit Learning and Motivation in Robot-Assisted TrainingReaching in Several Realities: Motor and Cognitive Benefits of Different Visualization TechnologiesDo we need complex rehabilitation robots for training complex tasks?
P50
Q21231961-1C9016C8-89E5-4894-A859-B35709A913F0Q33706771-F2F0DA00-3B1F-42F2-A2B5-E372E23C2876Q34413562-A6E84942-4780-4805-BB8A-7788C20E67C0Q36286570-4495E6A5-A184-425A-A53B-5336EA3F8922Q36437379-1B933AC4-B865-487D-8DBE-20100CA2CF8AQ36798632-CE97F760-6F4F-461B-856A-795012478699Q37684996-1886E046-E18B-47C4-83A1-868C5C7212A3Q39662879-755C1356-0B20-4F4E-A3B7-A896997DDC75Q42288839-706F2509-5FA6-463A-893B-DF96B3EFD6CBQ46801295-BE47538C-4329-4131-93C5-B106E5130C01Q47315990-718F8CF6-4F2C-4B4A-9C0F-1BFBDF4DBAD6Q47942037-B89A8F14-230D-4E06-8027-D2BEB9943C32Q48250161-AF0A8D3C-F635-4B32-9533-95D97856606EQ48521619-EA3CBC4D-6296-4A92-AE1A-3AE3BD34D3F8Q48693452-31129933-EA50-4401-AA45-F93F568BDE57Q50608808-9F1961D7-A859-49E6-9143-BD2C9FC9DA74Q50620795-C18FEEA9-6EE9-4159-9F10-7E2D1D167A92Q59697501-A74B4F3C-94C4-4B57-A3E7-4026E8FFC3BDQ64229379-09C37F6E-5CAD-434B-84AB-FE22DD72B665Q91071823-EE3A04B8-F1CC-4447-A104-DC20F0B46DFCQ91539511-FDAB2661-F8EF-42AC-A688-0D9025ACA3A7Q91622345-0B5698D5-C6EC-41BE-ACC5-A57310330FFCQ92371727-050AEF15-3AB9-416C-9D0A-E758ABE6FB27Q92371733-31A609A7-A785-49C5-BE57-CC491439DCA6Q92371915-040E8C08-9099-4589-9B73-E9832BDF367AQ92371936-7FE00122-4943-4A54-96BD-D357B667BC1D
P50
description
hulumtuese
@sq
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
Laura Marchal-Crespo
@ast
Laura Marchal-Crespo
@en
Laura Marchal-Crespo
@es
Laura Marchal-Crespo
@nl
Laura Marchal-Crespo
@sl
type
label
Laura Marchal-Crespo
@ast
Laura Marchal-Crespo
@en
Laura Marchal-Crespo
@es
Laura Marchal-Crespo
@nl
Laura Marchal-Crespo
@sl
prefLabel
Laura Marchal-Crespo
@ast
Laura Marchal-Crespo
@en
Laura Marchal-Crespo
@es
Laura Marchal-Crespo
@nl
Laura Marchal-Crespo
@sl
P106
P21
P2456
P31
P496
0000-0002-8008-5803