Fuzzy Logic-Based Risk Assessment of a Parallel Robot for Elbow and Wrist Rehabilitation

Tucan, Paul; Gherman, Bogdan; Major, Kinga; Vaida, Călin; Major, Zoltán Zsigmond; Plitea, Nicolae; Carbone, Giuseppe; Pîslă, Doina

doi:10.3390/ijerph17020654

Cited by 31 publications

(11 citation statements)

References 30 publications

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“…At the end of the trial each patient was evaluated again to determine the results of the rehabilitation. The ParReEx clinical results are illustrated in [12]. The following table illustrates some general patient data at their enrolment in the clinical trial (Table 1).…”

Section: Fact Discussionmentioning

confidence: 99%

First Clinical Evaluation of a Spherical Robotic System for Shoulder Rehabilitation

Vaida

Ulinici

Banica

et al. 2020

Mechanisms and Machine Science

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The paper presents the clinical assessment of a spherical robotic system for shoulder rehabilitation. Following the initial development of the experimental model of ASPIRE robot as part of a modular robotic system for upper limb rehabilitation, the authors performed a set of clinical trials on 18 patients with different neuro-muscular disorders aiming to assess the clinician and patient acceptance, the medical relevance of the exercises performed, the system reliability and necessary optimizations to improve the overall system efficiency. The initial results are promising showing the medical potential of ASPIRE encouraging the further development of the robotic structure.

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Section: Fact Discussionmentioning

confidence: 99%

First Clinical Evaluation of a Spherical Robotic System for Shoulder Rehabilitation

Vaida

Ulinici

Banica

et al. 2020

Mechanisms and Machine Science

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“…The robotic systems ASPIRE [ 25 , 26 , 27 ], ParReEx Elbow, and ParReEx Wrist [ 28 , 29 , 30 ] ( Figure 1 ) are innovative parallel robots that were designed for upper limb rehabilitation (shoulder, elbow, forearm, and wrist) and have already been presented in detail in a dedicated publication [ 23 ]. The ASPIRE ( Figure 1 a) robotic device has a spherical parallel structure and was designed for the rehabilitation of the shoulder joint.…”

Section: Methodsmentioning

confidence: 99%

Comparative Assessment of Robotic versus Classical Physical Therapy Using Muscle Strength and Ranges of Motion Testing in Neurological Diseases

Major

Vaida

Major

et al. 2021

JPM

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The use of robotic systems in physical rehabilitation protocols has become increasingly attractive and has been given more focus in the last decade as a result of the high prevalence of motor deficits in the population, which is linked to an overburdened healthcare system. In accordance with current trends, three robotic devices have been designed, called ParReEx Elbow, ParReEx Wrist, and ASPIRE, which were designed to improve upper-limb medical recovery (shoulder, elbow, forearm, and wrist). The three automated systems were tested in a hospital setting with 23 patients (12 men and 11 women) suffering from motor deficits caused by various neurological diseases such as stroke, Parkinson’s disease, and amyotrophic lateral sclerosis (ALS). The patients were divided into three groups based on their pathology (vascular, extrapyramidal, and neuromuscular). Objective clinical measures, such as the Medical Research Council (MRC) scale, goniometry, and dynamometry, were used to compare pre- and post-rehabilitation assessments for both robotic-aided and manual physical rehabilitation therapy. The results of these tests showed that, with the exception of a few minor differences in muscular strength recovery, the robotic-assisted rehabilitation methods performed equally as well as the manual techniques, though only minor improvements were validated during short-term rehabilitation. The greatest achievements were obtained in the goniometric analysis where some rehabilitation amplitudes increased by over 40% in the vascular group, but the same analysis returned regressions in the neuromuscular group. The MRC scale analysis returned no significant differences, with most regressions occurring in the neuromuscular group. The dynamometric analysis mostly returned improvements, but the highest value evolution was 19.07%, which also in the vascular group. While the results were encouraging, more research is needed with a larger sample size and a longer study period in order to provide more information regarding the efficacy of both rehabilitation methods in neurological illnesses.

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“…Moreover, the described sensors' system (goniometers) will be part of the RAISE robotic system (to form closed loop control in order to ensure the patient safety) and their use is also intended for the patient evaluation in future stages of development (when the robotic system will be tested in hospital environment). Based on the authors' clinical experience for upper limb rehabilitation [30], the general patient state imposes the use of sensors that can be mounted fast, easy and reliably with a simple setup. The experimental measurements were performed on 5 healthy subjects with the sensors positioned on the joints of the lower limb as shown in figure 5.…”

Section: Joint Motion Analysis Through Experimental Measurementsmentioning

confidence: 99%

Systematic Design of a Parallel Robotic System for Lower Limb Rehabilitation

et al. 2020

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This paper presents the design of an innovative robotic system for lower limb post-stroke rehabilitation of bed confined patients during the acute stage of the treatment. To establish the particularities of each targeted joint motion, experimental measurements are performed on healthy subjects. The acquired data is used to determine the operational workspace, namely the limits of the anatomic joints motion for the lower limb. Based on the prescribed operational workspace, an innovative parallel robotic architecture is designed for achieving the rehabilitation of the lower limb. A detailed kinematic modelling and analysis is carried out to demonstrate the robot capability to safely achieve the required motions. The design of the robotic rehabilitation device is discussed in detail alongside with numerical simulations for validating its performance while performing medically relevant rehabilitation motions.

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Fuzzy Logic-Based Risk Assessment of a Parallel Robot for Elbow and Wrist Rehabilitation

Cited by 31 publications

References 30 publications

First Clinical Evaluation of a Spherical Robotic System for Shoulder Rehabilitation

First Clinical Evaluation of a Spherical Robotic System for Shoulder Rehabilitation

Comparative Assessment of Robotic versus Classical Physical Therapy Using Muscle Strength and Ranges of Motion Testing in Neurological Diseases

Systematic Design of a Parallel Robotic System for Lower Limb Rehabilitation

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