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Antonio Prado

5 accepted papers

2022

Effects of Localized Leg Muscle Vibration Timed to Gait Cycle Percentage During Overground Walking

RA-L 2022

Every movement requires the coordination of several muscles groups. Mechanosensors provide the necessary proprioceptive information to know the current state of the muscles, joints, and limb segments to perform motions successfully. The motor system activates the muscles accordingly to coordinate th

Cited by 0SourceScholar
2021

Artificial Neural Networks to Solve Forward Kinematics of a Wearable Parallel Robot with Semi-rigid Links

ICRA 2021poster

Wearable robots are designed to provide physical assistance and rehabilitation training. Light-weight designs are desirable for human usage and parallel robots are quite suitable due to low moving inertia. One of the challenges of using wearable parallel robots is to compute the end-effector positio…

Cited by 12SourceScholar
2020

Prediction of Gait Cycle Percentage Using Instrumented Shoes with Artificial Neural Networks

ICRA 2020poster

Gait training is widely used to treat gait abnormalities. Traditional gait measurement systems are limited to instrumented laboratories. Even though gait measurements can be made in these settings, it is challenging to estimate gait parameters robustly in real-time for gait rehabilitation, especiall…

Cited by 21SourceScholar
2017

Effects of Virtual Reality Training With Trunk Support Trainer (TruST) on Postural Kinematics

RA-L 2017

Improving functional motor deficits in patients with neurological and musculoskeletal disorders has been a primary objective of rehabilitation. Task-oriented training in physical environments is a leading approach for rehab training utilizing tasks that are challenging, adaptable, and meaningful. Al

Cited by 11SourceScholar