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Virtual reality in cognitive and motor rehabilitation: facts, fiction and fallacies

Expert review of medical devices, 2018-02, Vol.15 (2), p.107-117

2018

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Virtual reality in stroke rehabilitation: virtual results or real values?

Arquivos de neuro-psiquiatria, 2019-10, Vol.77 (10), p.679-680

Iosa, Marco

2019

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Editorial: Use of computerized gait analysis in neurological pathologies

Frontiers in human neuroscience, 2022-12, Vol.16, p.1078539-1078539

2022

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Are neuroaesthetic principles applied in art therapy protocols for neurorehabilitation? A systematic mini-review

Frontiers in psychology, 2023-06, Vol.14, p.1158304-1158304

2023

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Artificial Neural Network Detects Hip Muscle Forces as Determinant for Harmonic Walking in People after Stroke

Sensors (Basel, Switzerland), 2022-02, Vol.22 (4), p.1374

2022

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Embodimetrics: A Principal Component Analysis Study of the Combined Assessment of Cardiac, Cognitive and Mobility Parameters

Sensors (Basel, Switzerland), 2024-03, Vol.24 (6), p.1898

2024

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Hand rehabilitation with sonification techniques in the subacute stage of stroke

Scientific reports, 2021-03, Vol.11 (1), p.7237-7237, Article 7237

2021

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Post-stroke Depression Increases Disability More Than 15% in Ischemic Stroke Survivors: A Case-Control Study

Frontiers in neurology, 2019-08, Vol.10, p.926-926

2019

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Editorial: Advances in neurorehabilitation strategies for children with rare neurological disorders

Frontiers in human neuroscience, 2024-04, Vol.18, p.1415096-1415096

2024

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Implicit and Explicit Preferences for Golden Ratio

Symmetry (Basel), 2024-03, Vol.16 (3), p.333

2024

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Principal Component Analysis of Oxford Cognitive Screen in Patients With Stroke

Frontiers in neurology, 2022-05, Vol.13, p.779679-779679

2022

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The Three Laws of Neurorobotics: A Review on What Neurorehabilitation Robots Should Do for Patients and Clinicians

Journal of medical and biological engineering, 2016, Vol.36 (1), p.1-11

2016

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Editorial: Rhythmic Patterns in Neuroscience and Human Physiology

Frontiers in human neuroscience, 2022-05, Vol.16, p.936090-936090

2022

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Rehabilitation of gait after stroke: a review towards a top-down approach

Journal of neuroengineering and rehabilitation, 2011-12, Vol.8 (1), p.66-66

2011

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Generalized Finite-Length Fibonacci Sequences in Healthy and Pathological Human Walking: Comprehensively Assessing Recursivity, Asymmetry, Consistency, Self-Similarity, and Variability of Gaits

Frontiers in human neuroscience, 2021-08, Vol.15, p.649533-649533

2021

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Validation of SuPerSense, a Sensorized Surface for the Evaluation of Posture Perception in Supine Position

Sensors (Basel, Switzerland), 2022-12, Vol.23 (1), p.424

2022

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Influences of the biofeedback content on robotic post-stroke gait rehabilitation: electromyographic vs joint torque biofeedback

Journal of neuroengineering and rehabilitation, 2019-07, Vol.16 (1), p.95-95, Article 95

2019

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Motor imagery for paediatric neurorehabilitation: how much do we know? Perspectives from a systematic review

Frontiers in human neuroscience, 2024-03, Vol.18, p.1245707-1245707

2024

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The Michelangelo Effect: Art Improves the Performance in a Virtual Reality Task Developed for Upper Limb Neurorehabilitation

Frontiers in psychology, 2021-01, Vol.11, p.611956-611956

2021

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Influence of Oxidative Stress and Inflammation on Nutritional Status and Neural Plasticity: New Perspectives on Post-Stroke Neurorehabilitative Outcome

Nutrients, 2022-12, Vol.15 (1), p.108

2022

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Stable or able? Effect of virtual reality stimulation on static balance of post-stroke patients and healthy subjects

Human movement science, 2020-04, Vol.70, p.102569-102569, Article 102569

2020

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The Future of Neurorehabilitation: Putting the Brain and Body Together Again

Brain sciences, 2023-11, Vol.13 (12), p.1617

2023

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Prognostic Factors in Neurorehabilitation of Stroke: A Comparison among Regression, Neural Network, and Cluster Analyses

Brain sciences, 2021-08, Vol.11 (9), p.1147

2021

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Application of an Artificial Neural Network to Identify the Factors Influencing Neurorehabilitation Outcomes of Patients with Ischemic Stroke Treated with Thrombolysis

Biomolecules (Basel, Switzerland), 2023-02, Vol.13 (2), p.334

2023

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Artificial Neural Network Analyzing Wearable Device Gait Data for Identifying Patients With Stroke Unable to Return to Work

Frontiers in neurology, 2021-05, Vol.12, p.650542-650542

2021

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Virtual reality in cognitive and motor rehabilitation: facts, fiction and fallacies

Virtual reality in stroke rehabilitation: virtual results or real values?

Editorial: Use of computerized gait analysis in neurological pathologies

Are neuroaesthetic principles applied in art therapy protocols for neurorehabilitation? A systematic mini-review

Artificial Neural Network Detects Hip Muscle Forces as Determinant for Harmonic Walking in People after Stroke

Embodimetrics: A Principal Component Analysis Study of the Combined Assessment of Cardiac, Cognitive and Mobility Parameters

Hand rehabilitation with sonification techniques in the subacute stage of stroke

Post-stroke Depression Increases Disability More Than 15% in Ischemic Stroke Survivors: A Case-Control Study

Editorial: Advances in neurorehabilitation strategies for children with rare neurological disorders

Implicit and Explicit Preferences for Golden Ratio

Principal Component Analysis of Oxford Cognitive Screen in Patients With Stroke

The Three Laws of Neurorobotics: A Review on What Neurorehabilitation Robots Should Do for Patients and Clinicians

Editorial: Rhythmic Patterns in Neuroscience and Human Physiology

Rehabilitation of gait after stroke: a review towards a top-down approach

Generalized Finite-Length Fibonacci Sequences in Healthy and Pathological Human Walking: Comprehensively Assessing Recursivity, Asymmetry, Consistency, Self-Similarity, and Variability of Gaits

Validation of SuPerSense, a Sensorized Surface for the Evaluation of Posture Perception in Supine Position

Influences of the biofeedback content on robotic post-stroke gait rehabilitation: electromyographic vs joint torque biofeedback

Motor imagery for paediatric neurorehabilitation: how much do we know? Perspectives from a systematic review

The Michelangelo Effect: Art Improves the Performance in a Virtual Reality Task Developed for Upper Limb Neurorehabilitation

Influence of Oxidative Stress and Inflammation on Nutritional Status and Neural Plasticity: New Perspectives on Post-Stroke Neurorehabilitative Outcome

Stable or able? Effect of virtual reality stimulation on static balance of post-stroke patients and healthy subjects

The Future of Neurorehabilitation: Putting the Brain and Body Together Again

Prognostic Factors in Neurorehabilitation of Stroke: A Comparison among Regression, Neural Network, and Cluster Analyses

Application of an Artificial Neural Network to Identify the Factors Influencing Neurorehabilitation Outcomes of Patients with Ischemic Stroke Treated with Thrombolysis

Artificial Neural Network Analyzing Wearable Device Gait Data for Identifying Patients With Stroke Unable to Return to Work

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