S. Shokur

发表

Active tactile exploration enabled by a brain-machine-brain interface

Peter J. Ifft, Joseph E. O’Doherty, M. L. Nicolelis, 2011, Nature.

Long-Term Training with a Brain-Machine Interface-Based Gait Protocol Induces Partial Neurological Recovery in Paraplegic Patients

Gordon Cheng, Hannes Bleuler, Solaiman Shokur, 2016, Scientific Reports.

Expanding the primate body schema in sensorimotor cortex by virtual touches of an avatar

Miguel A. L. Nicolelis, Hannes Bleuler, Solaiman Shokur, 2013, Proceedings of the National Academy of Sciences.

Assimilation of virtual legs and perception of floor texture by complete paraplegic patients receiving artificial tactile feedback

M. L. Nicolelis, H. Bleuler, E. Morya, 2016, Scientific Reports.

Non-invasive, Brain-controlled Functional Electrical Stimulation for Locomotion Rehabilitation in Individuals with Paraplegia

Solaiman Shokur, Mohamed Bouri, Ana R. C. Donati, 2019, Scientific Reports.

Training with brain-machine interfaces, visuo-tactile feedback and assisted locomotion improves sensorimotor, visceral, and psychological signs in chronic paraplegic patients

M. L. Nicolelis, M. Lebedev, E. Alho, 2018, PloS one.

The walk again project: Brain-controlled exoskeleton locomotion

Gordon Cheng, Solaiman Shokur, A. L. Lin, 2014 .

Kinematics predictors of spatiotemporal parameters during gait differ by age in healthy individuals.

D. B. Coelho, M. Bouri, S. Shokur, 2022, Gait & posture.

Editorial: Getting Neuroprosthetics Out of the Lab: Improving the Human-Machine Interactions to Restore Sensory-Motor Functions

K. Moxon, S. Shokur, I. Strauss, 2022, Frontiers in Robotics and AI.

Validation of manifold-based direct control for a brain-to-body neural bypass

S. Shokur, M. Delacombaz, S. Micera, 2022, bioRxiv.

Training with noninvasive brain–machine interface, tactile feedback, and locomotion to enhance neurological recovery in individuals with complete paraplegia: a randomized pilot study

M. L. Nicolelis, E. Alho, S. Shokur, 2022, Scientific Reports.

Current Solutions and Future Trends for Robotic Prosthetic Hands

S. Micera, S. Shokur, F. Iberite, 2021, Annu. Rev. Control. Robotics Auton. Syst..

A modular strategy for next-generation upper-limb sensory-motor neuroprostheses.

Silvestro Micera, Alberto Mazzoni, Solaiman Shokur, 2021, Med.

Neurotechnologies to restore hand functions

Matthew J. Mender, S. Micera, C. Chestek, 2023, Nature Reviews Bioengineering.

Active tactile exploration enabled by a brain-machine-brain interface

Hannes Bleuler, Solaiman Shokur, Miguel A. L. Nicolelis, 2011, Nature.

Effect of freezing of gait and dopaminergic medication in the biomechanics of lower limbs in the gait of patients with Parkinson’s disease compared to neurologically healthy

D. B. Coelho, M. Bouri, S. Shokur, 2023, Neuroscience Letters.

A Public Data Set of Videos, Inertial Measurement Unit, and Clinical Scales of Freezing of Gait in Individuals With Parkinson's Disease During a Turning-In-Place Task

D. B. Coelho, S. Shokur, C. Silva-Batista, 2022, Frontiers in Neuroscience.

Brain Incorporation of Artificial Limbs and Role of Haptic Feedback

Hannes Bleuler, Solaiman Shokur, Ali Sengül, 2014 .

Biomimetic bidirectional hand neuroprostheses for restoring somatosensory and motor functions

Silvestro Micera, Alberto Mazzoni, Solaiman Shokur, 2021, Somatosensory Feedback for Neuroprosthetics.

Creating a neuroprosthesis for active tactile exploration of textures

Solaiman Shokur, Mikhail A. Lebedev, Miguel A. L. Nicolelis, 2019, Proceedings of the National Academy of Sciences.

Biomechanical aspects that precede freezing episode during gait in individuals with Parkinson's disease: A systematic review.

D. B. Coelho, M. Bouri, S. Shokur, 2021, Gait & posture.

A Brain-Machine Interface Enables Bimanual Arm Movements in Monkeys

Solaiman Shokur, Mikhail A Lebedev, Zheng Li, 2013, Science Translational Medicine.

Cortical stimulation for somatosensory feedback: translation from nonhuman primates to clinical applications

J. E. O’Doherty, S. Shokur, S. Borgognon, 2021, Somatosensory Feedback for Neuroprosthetics.

The neural resource allocation problem when enhancing human bodies with extra robotic limbs

Silvestro Micera, Domenico Prattichizzo, Gionata Salvietti, 2021, Nature Machine Intelligence.

Towards Brain-Machine Interface-Based Rehabilitation for Patients with Chronic Complete Paraplegia

S. Shokur, 2021 .

Virtual environment to evaluate multimodal feedback strategies for augmented navigation of the visually impaired

Akio Yamamoto, Masayuki Hara, Toshiro Higuchi, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Exoskeletons as Mechatronic Design Example

Hannes Bleuler, Tristan Vouga, A. Ortlieb, 2018, Mechanisms and Machine Science.

The walk again project (wap): Sensory feedback for brain controlled exoskeleton

Gordon Cheng, Jeremy Olivier, Solaiman Shokur, 2014 .

Toward a person-follower robot

Stefano Nolfi, Solaiman Shokur, Onofrio Gigliotta, 2005 .

Human motor augmentation with an extra robotic arm without functional interference

S. Shokur, B. Orset, Giulia Dominijanni, 2023, Science Robotics.

Immediate Effect of Ankle Exoskeleton on Spatiotemporal Parameters and Center of Pressure Trajectory After Stroke

F. Brasil, E. Morya, S. Shokur, 2023, 2023 International Conference on Rehabilitation Robotics (ICORR).