Joana Figueiredo
Papers
21
Total Citations
282
H-Index
9
About
Joana Figueiredo is a biomedical engineer and researcher whose work sits at the intersection of rehabilitation robotics, human movement biomechanics, and wearable sensing technologies. Her research focuses primarily on lower limb exoskeletons, adaptive control strategies for assistive devices, and data-driven approaches to gait analysis and rehabilitation. Figueiredo has made significant contributions to the field through the development and validation of assist-as-needed control paradigms — including adaptive impedance control and feedback-error learning frameworks — designed to optimize human-robot interaction during gait rehabilitation. Her widely cited 2021 dataset paper (77 citations) established a comprehensive benchmark for lower limb kinematic, kinetic, and EMG data, becoming a valuable resource for the locomotion research community. Her 2022 deep learning study (28 citations) advanced energy expenditure estimation using multimodal wearable sensors, directly informing human-in-the-loop robotic rehabilitation. Through her work on biofeedback integration with exoskeletons, she has demonstrated measurable improvements in patient-robot compliance, with important implications for post-stroke gait recovery. Spanning hardware evaluation, control design, and clinical translation, Figueiredo's body of work represents a rigorous, patient-centered approach to next-generation rehabilitation technology.
Research Focus
Key Achievements
Top Papers
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- 3Exoskeletons for lower-limb rehabilitation26 citations · 2018
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- 6Robotic Biofeedback for Post-Stroke Gait Rehabilitation: A Scoping Review16 citations · 2022
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