Robotic Orthosis for Upper Limb Rehabilitation

Ferreira, Fernanda de Oliveira; Rúbio, Guilherme de Paula; Avellar, Natália de; Tonelli, Leandro; Brandão, Fabrício Henrique de Lisboa; Mata, A.D.; Bonfim, João Paulo Fernandes; Silva, Thales; Dutra, Rina Mariane Alves; Petten, Adriana Maria Van; Vimieiro, Claysson Bruno Santos

doi:10.3390/iecat2020-08519

Cited by 7 publications

(9 citation statements)

References 31 publications

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“…It is formed by a custom-made thermoplastic splint molded on the participant's arm and inserted in a Neoprene R wrapper. In order to allow a better fixation of the user's arm to apparatus and prevent twisting of the elbow support structure [23], this structure has been extended in length, promoting an increase in the contact area with the upper limb.…”

Section: Elbow Module: Static Structurementioning

confidence: 99%

“…Table I shows the instrument specifications. Additional technical details describing the device are similar to the previous version of the orthosis, and they are available in previous articles [23,26,28]. The Android application, which controlled the device via Bluetooth, has a command menu where it is possible to select the module activated and perform manual or automatic tasks.…”

Section: Motors and Controlmentioning

confidence: 99%

“…This study aims to improve a portable robotic orthosis called Pinotti Portable Robotic Exoskeleton (PPRE) and validate its biomechanical functioning in individuals with upper limb motor impairment due to stroke. This apparatus is an evolution of the robotic orthosis developed at the Bioengineering Laboratory (LABBIO) of the Federal University of Minas Gerais, described in our previous study [23]. The position of instruments and the mechanical system were changed to increase the portable potential of the device.…”

Section: Introductionmentioning

confidence: 99%

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Development of portable robotic orthosis and biomechanical validation in people with limited upper limb function after stroke

et al. 2022

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Stroke has a considerable incidence in the world population and would cause sequelae in the upper limbs. One way to increase the efficiency in the rehabilitation process of patients with these sequelae is through robot-assisted therapy. The present study developed a portable robotic orthosis called Pinotti Portable Robotic Exoskeleton (PPRE) and validated its functioning in clinical tests. The static and dynamic parts of the device modules are described. Design issues, such as heavyweight and engine positioning, have been optimized. The implementation of control was through a smartphone application that communicates with a microcontroller to perform desired movements. Four individuals with motor impairment of the upper limbs due to stroke performed clinical tests to validate the device. Participants did not mention pain, discomfort, tingling, and paresthesia. The robotic device showed the ability to perform the flexion and extension movements of the fingers and elbow. The PPRE was confirmed to be adequate and functional at different levels of motor impairment assessed. The orthosis presented advantages over the currently existing devices, concerning its biomechanical functioning, portability, comfort, and versatility. Thus, the apparatus has the great innovative potential to become a device for home use, serving as an aid to the therapist and facilitating the rehabilitation of patients after an injury. In a larger sample, future studies are needed to assess the effect of a robotic orthosis on the level of rehabilitation in individuals with upper limb impairment.

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Section: Elbow Module: Static Structurementioning

confidence: 99%

Section: Motors and Controlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Development of portable robotic orthosis and biomechanical validation in people with limited upper limb function after stroke

et al. 2022

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“…The results suggest a tremor power reduction of 99% in an experimental setting, while it has not been validated in a natural environment. Other relevant perspectives in the area are [ 17 , 18 , 19 ], which show different efforts to help treat different conditions that can affect the elbow through technology, which speaks to the relevance of the topic in the research community. The studies described above are focused on helping to treat different elbow alterations many times without validation by professionals specialized in the area; in addition, as far as the authors know, the mechatronic design of a technological proposal (orthosis) that supports the recovery of mobility using flexion–extension and pronation–supination movements has not been described, so it is a gap in the literature that this research aims to solve.…”

Section: Introductionmentioning

confidence: 99%

Mechatronic Design of a Prototype Orthosis to Support Elbow Joint Rehabilitation

Rosero

Realpe

et al. 2022

Bioengineering

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Injuries in the elbow area, such as lateral and medial epicondylitis, are the leading causes of consultation with health specialists. Therefore, this research proposes the mechatronic design of an orthosis with a graphic interface that supports professionals in the rehabilitation of the elbow joint through the execution of flexion–extension and pronation–supination movements. For the development of the rehabilitation prototype, mechatronic design, co-design, and IDEF0 methodologies are used, performing activities such as actuator characterization, simulations, and modeling, among others. Through the execution of a case study in a real environment, the device was validated, where the results suggest a functional and workable prototype that supports the treatment of pathologies in the elbow area through the execution of the mentioned movements, supposing that this is a low-cost alternative with elements to improve, such as the industrial design and new functionalities. The developed proposal shows potential as an economical product that health professionals can use. However, some limitations related to the design and functionalities in the application domain were identified.

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“…In addition, the scoring systems are often subjective, lack reliability and heavily dependent on the ability of the skilled physiotherapist to provide only rough motor function estimates [13,16]. Nowadays, various types of upper limb assessment device for stroke rehabilitation have been developed to assist physiotherapists during rehabilitation program [17][18][19][20][21][22][23]. These upper limb assessment devices provide precise measurement of patient's motor sensory performance which can have a beneficial impact on the rehabilitation outcome [15,24].…”

mentioning

confidence: 99%

Multiple Linear Regression in Predicting Motor Assessment Scale of Stroke Patients

Mazlan

Rahman

Ibrahim³

et al. 2021

IJIE

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The Multiple Linear Regression (MLR) is a predictive model that was commonly used to predict the clinical score of stroke patients. However, the performance of the predictive model slightly depends on the method of feature selection on the data as input predictor to the model. Therefore, appropriate feature selection method needs to be investigated in order to give an optimum performance of the prediction. This paper aims (i) to develop predictive model for Motor Assessment Scale (MAS) prediction of stroke patients, (ii) to establish relationship between kinematic variables and MAS score using a predictive model, (iii) to evaluate the prediction performance of a predictive model based on root mean squared error (RMSE) and coefficient of determination R2. Three types of feature selection methods involve in this study which are the combination of all kinematic variables, the combination of the best four or less kinematic variables, and the combination of kinematic variables based on p < 0.05. The prediction performance of MLR model between two assessment devices (iRest and ReHAD) has been compared. As the result, MLR model for ReHAD with the combination of kinematic variables that has p < 0.05 as input predictor has the best performance with Draw I (RMSEte = 1.9228, R2 = 0.8623), Draw Diamond (RMSEte = 2.6136, R2 = 0.7477), and Draw Circle (RMSEte = 2.1756, R2 = 0.8268). These finding suggest that the relationship between kinematic variables and MAS score of stoke patients is strong, and the MLR model with feature selection of kinematic variables that has p < 0.05 is able to predict the MAS score of stroke patients using the kinematic variables extracted from the assessment device.

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Robotic Orthosis for Upper Limb Rehabilitation

Cited by 7 publications

References 31 publications

Development of portable robotic orthosis and biomechanical validation in people with limited upper limb function after stroke

Development of portable robotic orthosis and biomechanical validation in people with limited upper limb function after stroke

Mechatronic Design of a Prototype Orthosis to Support Elbow Joint Rehabilitation

Multiple Linear Regression in Predicting Motor Assessment Scale of Stroke Patients

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