Using a Collaborative Robot to the Upper Limb Rehabilitation

Fernandes, Lucas de Azevedo; Lima, José; Leitão, Paulo; Nakano, Ana Márcia Spanó

doi:10.1007/978-3-030-36150-1_35

Cited by 3 publications

(3 citation statements)

References 11 publications

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“…The system under development uses a UR5e and Microsoft HoloLens 2 (MH_2). The choice for the utilisation of the UR5e relied on several factors: (1) it supports a load of 5Kg, which allows the robot to work as an active or passive rehabilitation system; (2) the robotic arm's 85 cm reach enables a good movement amplitude for upper-limb rehabilitation; (3) it is on the market and studies suggest it is an adequate and safe tool to be used in upper-limb rehabilitation ( 14 , 35 , 36 ), and (4) the UR5e was readily available in the lab for the pre-prototype. Additionally, the robot will collect all the data during the exercise and create an adapting haptic stimulation according to the evolution of the rehabilitation process.…”

Section: Methodsmentioning

confidence: 99%

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An augmented reality interface to control a collaborative robot in rehab: A preliminary usability evaluation

Rodrigues

Menezes²,

Restivo³

2023

Front. Digit. Health

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Human emotions can be seen as a valuable variable to explore in Human-Computer Interaction for effective, efficient, and satisfying interface development. The inclusion of appropriate emotional triggers in the design of interactive systems can play a decisive role in users' acceptance or rejection. It is well known that the major problem in motor rehabilitation is the high dropout rate resulting from the frustrated expectations given the typical slow recovery process and consequent lack of motivation to endure. This work proposes grouping a collaborative robot with one specific augmented reality equipment to create a rehabilitation system where some gamification levels might be added to provide a better and more motivating experience to patients. Such a system, as a whole, is customizable to adapt to each patient's needs on the rehabilitation exercises. By transforming a tedious exercise into a game, we expect to create an additional layer of enjoyment that can help in triggering positive emotions and stimulate users to continue the rehabilitation process. A pre-prototype was developed to validate this system's usability, and a cross-sectional study using a non-probabilistic sample of 31 individuals is presented and discussed. This study included the application of three standard questionnaires on usability and user experience. The analyses of these questionnaires show that the majority of the users found the system easy and enjoyable. The system was also analysed by a rehabilitation expert who gave a positive output regarding its usefulness, and positive impact on its use in the upper-limb rehabilitation processes. These results clearly encourage further development of the proposed system.

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Section: Methodsmentioning

confidence: 99%

“…Azevedo Fernandes et al ( 35 ) study addresses using a collaborative robot applied in the rehabilitation field to help upper-limb physiotherapy, specifically shoulder rehabilitation. The work proposes a system capable of learning from patient usage to create motion paths to perform the exercises.…”

Section: Introductionmentioning

confidence: 99%

An augmented reality interface to control a collaborative robot in rehab: A preliminary usability evaluation

Rodrigues

Menezes²,

Restivo³

2023

Front. Digit. Health

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“…A UR3 collabor ative robot, mainly intended for industrial use, is described by De Azevedo Fernandes et al [24] as a shoulder rehabilitation robot, with the main aim of demonstrating the feasibility of this approach and shows how intuitive and versatile these robots can be. The robot provides a force in the opposite direction to the patient's movement, the force provided by the robot is variable depending on the force emitted by the patient and is self-controlled by an reinforcement learning based on Machine Learning (ML).…”

Section: Robotics Therapy For the Upper Limbmentioning

confidence: 99%

Overview of Robotic Based System for Rehabilitation and Healthcare

Chellal

Lima

Fernandes

et al. 2021

Communications in Computer and Information Science

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