Robotic systems for upper-limb rehabilitation in multiple sclerosis: a SWOT analysis and the synergies with virtual and augmented environments

GA Albanese, A Bucchieri, J Podda… - Frontiers in Robotics …, 2024 - frontiersin.org
The robotics discipline is exploring precise and versatile solutions for upper-limb
rehabilitation in Multiple Sclerosis (MS). People with MS can greatly benefit from robotic …

Intelligent robotics incorporating machine learning algorithms for improving functional capacity evaluation and occupational rehabilitation

J Fong, R Ocampo, DP Gross, M Tavakoli - Journal of occupational …, 2020 - Springer
Introduction Occupational rehabilitation often involves functional capacity evaluations (FCE)
that use simulated work tasks to assess work ability. Currently, there exists no single …

On identifying kinematic and muscle synergies: a comparison of matrix factorization methods using experimental data from the healthy population

N Lambert-Shirzad… - Journal of …, 2017 - journals.physiology.org
Human motor behavior is highly goal directed, requiring the central nervous system to
coordinate different aspects of motion generation to achieve the motion goals. The concept …

A machine learning-based initial difficulty level adjustment method for balance exercise on a trunk rehabilitation robot

H Lee, Y Choi, A Eizad, WK Song… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Trunk rehabilitation exercises such as those for remediating core stability can help improve
the seated balance of patients with weakness or loss of proprioception caused by diseases …

Workload estimation in physical human–robot interaction using physiological measurements

D Novak, B Beyeler, X Omlin… - Interacting with …, 2015 - academic.oup.com
This paper uses physiological measurements to estimate human workload and effort in
physical human–robot interaction. Ten subjects performed 19 consecutive task periods …

Evaluating the user experience of exercising reaching motions with a robot that predicts desired movement difficulty

N Shirzad, HFM Van der Loos - Journal of Motor Behavior, 2016 - Taylor & Francis
The notion of an optimal difficulty during practice has been articulated in many areas of
cognitive psychology: flow theory, the challenge point framework, and desirable difficulties …

Bayesian optimization for assist-as-needed controller in robot-assisted upper limb training based on energy information

J Zhang, H Zeng, X Li, G Xu, Y Li, A Song - Robotica, 2023 - cambridge.org
The assist-as-needed (AAN) controller is effective in robot-assisted rehabilitation. However,
variations of the engagement of subjects with fixed controller often lead to unsatisfying …

Engagement enhancement based on bayesian optimization for adaptive assist-as-needed controller

X Li, H Zeng, J Zhang, A Song - IEEE Robotics and Automation …, 2021 - ieeexplore.ieee.org
Assist-as-needed (AAN) control strategy is applied in robot-aided therapy to promote the
subject's engagement with minimal assistance. Current methods are based on physical …

Intelligent robotics and immersive displays for enhancing haptic interaction in physical rehabilitation environments

J Fong, R Ocampo, M Tavakoli - … , health, and enhanced quality of life, 2020 - Springer
Disabling events such as stroke affect millions of people worldwide, causing a need for
efficient and functional rehabilitation therapies in order for patients to regain motor function …

FEATHERS, a bimanual upper limb rehabilitation platform: a case study of user-centred approach in rehabilitation device design

N Shirzad, BA Valdés, CT Hung, M Law, J Hay… - 2015 - designsociety.org
The healthcare sector is increasingly becoming dependent on medical devices and
technologies. This is facilitated, in part, by the emphasis that is being put on the robustness …