Smart solution for pain detection in remote rehabilitation

Bouteraa, Yassine; Abdallah, Ismail Ben; Alnowaiser, Khaled; Ibrahim, Atef

doi:10.1016/j.aej.2021.02.001

Cited by 13 publications

(15 citation statements)

References 39 publications

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“…In order to overcome this constraint, an EMG-based muscle fatigue estimation system is developed. Actually, EMG has been widely used in robotic applications [9][10][11][12][13][14]. Based on EMG signals, a myoelectrical driven robotic system has been proposed for elbow training assistance [10].…”

Section: Introductionmentioning

confidence: 99%

Design and Development of a Smart IoT-Based Robotic Solution for Wrist Rehabilitation

et al. 2022

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In this study, we present an IoT-based robot for wrist rehabilitation with a new protocol for determining the state of injured muscles as well as providing dynamic model parameters. In this model, the torque produced by the robot and the torque provided by the patient are determined and updated taking into consideration the constraints of fatigue. Indeed, in the proposed control architecture based on the EMG signal extraction, a fuzzy classifier was designed and implemented to estimate muscle fatigue. Based on this estimation, the patient’s torque is updated during the rehabilitation session. The first step of this protocol consists of calculating the subject-related parameters. This concerns axis offset, inertial parameters, passive stiffness, and passive damping. The second step is to determine the remaining component of the wrist model, including the interaction torque. The subject must perform the desired movements providing the torque necessary to move the robot in the desired direction. In this case, the robot applies a resistive torque to calculate the torque produced by the patient. After that, the protocol considers the patient and the robot as active and all exercises are performed accordingly. The developed robotics-based solution, including the proposed protocol, was tested on three subjects and showed promising results.

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Section: Introductionmentioning

confidence: 99%

Design and Development of a Smart IoT-Based Robotic Solution for Wrist Rehabilitation

et al. 2022

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“…All the above studies have in common use of several tools to achieve the safety required by the medical procedure. The safety may be achieved through an effective correlation between the kinematics of the medical robot [18][19][20][21][22][23] and the control system [24][25][26][27][28][29][30][31] used to actuate the robotic structure with respect to human-robot interactions [32][33][34][35].…”

Section: Introductionmentioning

confidence: 99%

A Parallel Robot with Torque Monitoring for Brachial Monoparesis Rehabilitation Tasks

et al. 2021

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Robots for rehabilitation tasks require a high degree of safety for the interaction with both the patients and for the operators. In particular, high safety is a stable and intuitive control of the moving elements of the system combined with an external system of sensors able to monitor the position of every aspect of the rehabilitation system (operator, robot, and patient) and overcome in a certain measure all the events that may occur during the robotic rehabilitation procedure. This paper presents the development of an internal torque monitoring system for ASPIRE. This is a parallel robot designed for shoulder rehabilitation, which enables the use of strategies towards developing a HRI (human–robot interaction) system for the therapy. A complete analysis regarding the components of the robotic system is carried out with the purpose of determining the dynamic behavior of the system. Next, the proposed torque monitoring system is developed with respect to the previously obtained data. Several experimental tests are performed using healthy subjects being equipped with a series of biomedical sensors with the purpose of validating the proposed torque monitoring strategy and, at the same time, to satisfy the degree of safety that is requested by the medical procedure.

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“…While many recent studies have focused on muscle state estimation during rehabilitation training [ 42 , 43 , 44 ], integrating muscle pain level into the primary controller remains a challenge. Moreover, only a few studies have reported on muscle pain estimation based on the acquired EMG signals [ 45 , 46 , 47 , 48 , 49 ]. The pain level can be estimated using facial expression [ 45 , 46 ] or during walking [ 47 , 48 ].…”

Section: Resultsmentioning

confidence: 99%

An Optimized Stimulation Control System for Upper Limb Exoskeleton Robot-Assisted Rehabilitation Using a Fuzzy Logic-Based Pain Detection Approach

Abdallah,

Bouteraa

2024

Sensors

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The utilization of robotic systems in upper limb rehabilitation has shown promising results in aiding individuals with motor impairments. This research introduces an innovative approach to enhance the efficiency and adaptability of upper limb exoskeleton robot-assisted rehabilitation through the development of an optimized stimulation control system (OSCS). The proposed OSCS integrates a fuzzy logic-based pain detection approach designed to accurately assess and respond to the patient’s pain threshold during rehabilitation sessions. By employing fuzzy logic algorithms, the system dynamically adjusts the stimulation levels and control parameters of the exoskeleton, ensuring personalized and optimized rehabilitation protocols. This research conducts comprehensive evaluations, including simulation studies and clinical trials, to validate the OSCS’s efficacy in improving rehabilitation outcomes while prioritizing patient comfort and safety. The findings demonstrate the potential of the OSCS to revolutionize upper limb exoskeleton-assisted rehabilitation by offering a customizable and adaptive framework tailored to individual patient needs, thereby advancing the field of robotic-assisted rehabilitation.

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Smart solution for pain detection in remote rehabilitation

Cited by 13 publications

References 39 publications

Design and Development of a Smart IoT-Based Robotic Solution for Wrist Rehabilitation

Design and Development of a Smart IoT-Based Robotic Solution for Wrist Rehabilitation

A Parallel Robot with Torque Monitoring for Brachial Monoparesis Rehabilitation Tasks

An Optimized Stimulation Control System for Upper Limb Exoskeleton Robot-Assisted Rehabilitation Using a Fuzzy Logic-Based Pain Detection Approach

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