Design Of Smart Robot For Wrist Rehabilitation

Aabdallah, Ismail Ben; Bouteraa, Yassine; Rekik, Chokri

doi:10.21307/ijssis-2017-906

Cited by 14 publications

(8 citation statements)

References 43 publications

(42 reference statements)

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“…Analysis through experimentation works and leads us to come up with precise and accurate in detecting whether concomitant change in the movement to reach conclusions concerning the accomplishment, where they are invoked to describe the movement and analysis of all factors (physical, mechanical, anatomical) investigating motor performance so as to ensure their use in solving problems which relate to performance and evaluation through the balancing of these facts analytical certain criteria make it easier for coaches to choose the right exercises for the athletics motor performance and create the correct circumstances special training to achieve that goal (Hambangmoe-ro & Sujeong-gu, 2015). The analysis using software Smart (PC) is of great significance in determining the nature perform each part of the body, especially wrist joint, as can these programs identify axes equitable parts of the body as well as find a range of motion for each part or as detailed, as through analysis software smart can calculate the power body or detailed as well as the speed of each part of the body to determine whether there was a disturbance or weakness in the body part on performance (Ben Aabdallah et al, 2016).…”

Section: The Effectiveness Analysis Of Wrist Joint According To the Smentioning

confidence: 99%

Rehabilitation of the wrist joint injury accordance of kinesiology variables

Athab¹,

Alsayigh²

2021

Journal of Human Sport and Exercise - 2021 - Autumn Conferences of Sports Science

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This research aims to rehabilitate the wrist joint injury accordance of the variables of kinesiology, that the construction of rehabilitation exercises using kinetic aspect of wrist has a significant impact on determining the amount of the damage in the injured part, as identify the amount of force and increase it in the muscles operating under kinesiology movement. The researchers postulated that the use of kinesiology in a rehabilitation of a wrist joint, its active effect to increase muscle activity and strength and thus rework the activation of joint as a normally. Included research sample (6) of injured players in the wrist joint, specifically in the soft tissue, reaching the arithmetic mean age (21.68) and standard deviation (1.13), while the mean of height (180cm) and standard deviation (2.1). After obtaining the data has been incorporated in the statistical software (SPSS) and results were presented in a special table prepared for it, and through the above researchers concluded: 1). A program of kinesiology positive effect in rehabilitation of the wrist joint speed up the healing process. 2). To the smart programs used in kinetic analysis of an active role in the calculation of the amount of force and variables of subsidiaries kinesiology. 3). The use of science kinesiology in rehabilitation programs with a significant impact in increasing muscular balance and stability hinge.

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Section: The Effectiveness Analysis Of Wrist Joint According To the Smentioning

confidence: 99%

Rehabilitation of the wrist joint injury accordance of kinesiology variables

Athab¹,

Alsayigh²

2021

Journal of Human Sport and Exercise - 2021 - Autumn Conferences of Sports Science

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“…Many robotic systems have been developed for upper limb rehabilitation. These devices can be used for wrist rehabilitation (Zhang et al, 2020;Moshaii et al, 2019;Ben Aabdallah et al, 2016) for elbow rehabilitation (Koh et al, 2017;Liu et al, 2018) and for shoulder rehabilitation (Kim et al, 2019;Takasaki et al, 2018). Also, some complex systems have been developed to cover all upper limb joints (Balasubramanian and He, 2012;Díez et al, 2016;Bouteraa and Abdallah, 2016;Senanayake and Naim, 2019;Bouteraa et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Design and control of an exoskeleton robot with EMG-driven electrical stimulation for upper limb rehabilitation

Bouteraa

Abdallah

Elmogy

2020

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Purpose The purpose of this paper is to design and develop a new robotic device for the rehabilitation of the upper limbs. The authors are focusing on a new symmetrical robot which can be used to rehabilitate the right upper limb and the left upper limb. The robotic arm can be automatically extended or reduced depending on the measurements of the patient's arm. The main idea is to integrate electrical stimulation into motor rehabilitation by robot. The goal is to provide automatic electrical stimulation based on muscle status during the rehabilitation process. Design/methodology/approach The developed robotic arm can be automatically extended or reduced depending on the measurements of the patient's arm. The system merges two rehabilitation strategies: motor rehabilitation and electrical stimulation. The goal is to take the advantages of both approaches. Electrical stimulation is often used for building muscle through endurance, resistance and strength exercises. However, in the proposed approach the electrical stimulation is used for recovery, relaxation and pain relief. In addition, the device includes an electromyography (EMG) muscle sensor that records muscle activity in real time. The control architecture provides the ability to automatically activate the appropriate stimulation mode based on the acquired EMG signal. The system software provides two modes for stimulation activation: the manual preset mode and the EMG driven mode. The program ensures traceability and provides the ability to issue a patient status monitoring report. Findings The developed robotic device is symmetrical and reconfigurable. The presented rehabilitation system includes a muscle stimulator associated with the robot to improve the quality of the rehabilitation process. The integration of neuromuscular electrical stimulation into the physical rehabilitation process offers effective rehabilitation sessions for neuromuscular recovery of the upper limb. A laboratory-made stimulator is developed to generate three modes of stimulation: pain relief, massage and relaxation. Through the control software interface, the physiotherapist can set the exercise movement parameters, define the stimulation mode and record the patient training in real time. Research limitations/implications There are certain constraints when applying the proposed method, such as the sensitivity of the acquired EMG signals. This involves the use of professional equipment and mainly the implementation of sophisticated algorithms for signal extraction. Practical implications Functional electrical stimulation and robot-based motor rehabilitation are the most important technologies applied in post-stroke rehabilitation. The main objective of integrating robots into the rehabilitation process is to compensate for the functions lost in people with physical disabilities. The stimulation technique can be used for recovery, relaxation and drainage and pain relief. In this context, the idea is to integrate electrical stimulation into motor rehabilitation based on a robot to obtain the advantages of the two approaches to further improve the rehabilitation process. The introduction of this type of robot also makes it possible to develop new exciting assistance devices. Originality/value The proposed design is symmetrical, reconfigurable and light, covering all the joints of the upper limbs and their movements. In addition, the developed platform is inexpensive and a portable solution based on open source hardware platforms which opens the way to more extensions and developments. Electrical stimulation is often used to improve motor function and restore loss of function. However, the main objective behind the proposed stimulation in this paper is to recover after effort. The novelty of the proposed solution is to integrate the electrical stimulation powered by EMG in robotic rehabilitation.

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“…Additionally, Fuzzy control has been extensively used in many robotic applications [28][29][30] because of its power in modeling uncertainty and vague data. Many researches have been focused on fuzzy logic-based control schemes for rehabilitation robots.…”

Section: Introductionmentioning

confidence: 99%

Development of an IoT-Based Solution Incorporating Biofeedback and Fuzzy Logic Control for Elbow Rehabilitation

et al. 2020

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The last few years have seen significant advances in neuromotor rehabilitation technologies, such as robotics and virtual reality. Rehabilitation robotics primarily focuses on devices, control strategies, scenarios and protocols aimed at recovering sensory, motor and cognitive impairments often experienced by stroke victims. Remote rehabilitation can be adopted to relieve stress in healthcare facilities by limiting the movement of patients to clinics, mainly in the current COVID-19 pandemic. In this context, we have developed a remote controlled intelligent robot for elbow rehabilitation. The proposed system offers real-time monitoring and ultimately provides an electronic health record (EHR). Rehabilitation is an area of medical practice that treats patients with pain. However, this pain can prevent a person from positively interacting with therapy. To cope with this matter, the proposed solution incorporates a cascading fuzzy decision system to estimate patient pain. Indeed, as a safety measure, when the pain exceeds a certain threshold, the robot must stop the action even if the desired angle has not yet been reached. A fusion of sensors incorporating an electromyography (EMG) signal, feedback from the current sensor and feedback from the position encoder provides the fuzzy controller with the data needed to estimate pain. This measured pain is fed back into the control loop and processed to generate safe robot actions. The main contribution was to integrate vision-based gesture control, a cascade fuzzy logic-based decision system and IoT (Internet of Things) to help therapists remotely take care of patients efficiently and reliably. Tests carried out on three different subjects showed encouraging results.

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Design Of Smart Robot For Wrist Rehabilitation

Cited by 14 publications

References 43 publications

Rehabilitation of the wrist joint injury accordance of kinesiology variables

Rehabilitation of the wrist joint injury accordance of kinesiology variables

Design and control of an exoskeleton robot with EMG-driven electrical stimulation for upper limb rehabilitation

Development of an IoT-Based Solution Incorporating Biofeedback and Fuzzy Logic Control for Elbow Rehabilitation

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