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Ana Carolina Cardoso de Sousa

Has grant

Assistant professor

Institut Quimic de Sarria

Spain

Research Interests

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Professors in Spain

Recent Grants

Grant: Close

Improve spinal cord injury rehabilitation by developing novel bionic therapies using digital twins

Open Date: 2023-04-01

Close Date: 2026-03-01

Grant: Open

Improve upper limbs rehabilitation using a robotic arm and functional electrical stimulation

Open Date: 2022-09-01

Close Date: 2033-03-01

Grant: Close

Simulation of the assistance of passive knee orthoses in FES cycling

Open Date: 2019-07-01

Close Date: 2019-07-01

Grant: Close

Integrating Hip Exosuit and FES for Lower Limb Rehabilitation in a Simulation Environment.

Open Date: 2018-10-01

Close Date: 2018-10-01

Grant: Close

Automatic Detection of Stimulation Artifacts to Isolate Volitional from Evoked EMG Activity

Open Date: 2017-04-01

Close Date: 2018-04-01

Articles (10)

Year:

2025

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2025

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2024

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2024

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2024

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2024

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2024

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2023

Year:

2023

Year:

2023

Collaborators (4)

Claudio Pizzolato

Griffith University

AUSTRALIA

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Matthew Bourne

Associate Professor

Griffith University

AUSTRALIA

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Tyler Collings

Griffith University

AUSTRALIA

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David Lloyd

Professor of Biomechanical Engineering

Griffith University

AUSTRALIA

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Ana Carolina Cardoso de Sousa

Research Interests

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Recent Grants

Articles (10)

A Preliminary Comparative Study of Knee Kinematics and Dynamics with NanoStim and Motion Capture Systems

Validating Predictive Simulation-Derived Electrical Stimulation Cycling in a Person with Spinal Cord Injury

Comparison of filtering methods for real-time extraction of the volitional EMG component in electrically stimulated muscles

Joint contact forces during semi-recumbent seated cycling

Non-invasive Digital Twin Controlled BCI-FES-VR Leg-Cycling Ergometer Intervention Recovers Sensorimotor Function in Individuals with Complete Spinal Cord Injury

Predictive Framework for Electrical Stimulation Cycling in Spinal Cord Injury

Preliminary Results of Predictive Simulation in Cycling Rehabilitation Using Diverse Human and Bicycle Models

Maintaining soldier musculoskeletal health using personalised digital humans, wearables and/or computer vision

A digital twin framework for robust control of robotic-biological systems

EMG-Informed Neuromusculoskeletal Modelling Estimates Muscle Forces and Joint Moments During Electrical Stimulation

Collaborators (4)

Claudio Pizzolato

Matthew Bourne

Tyler Collings

David Lloyd

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