scholarly journals A Review on Upper Limb Rehabilitation Robots

2020 ◽  
Vol 10 (19) ◽  
pp. 6976
Author(s):  
Hassan M. Qassim ◽  
W. Z. Wan Hasan
Keyword(s):  
Upper Limb ◽  
Rehabilitation Process ◽  
Upper Limb Rehabilitation ◽  
Post Stroke ◽  
Rehabilitation Robots ◽  
The Common ◽  
Limb Rehabilitation

Rehabilitation is the process of treating post-stroke consequences. Impaired limbs are considered the common outcomes of stroke, which require a professional therapist to rehabilitate the impaired limbs and restore fully or partially its function. Due to the shortage in the number of therapists and other considerations, researchers have been working on developing robots that have the ability to perform the rehabilitation process. During the last two decades, different robots were invented to help in rehabilitation procedures. This paper explains the types of rehabilitation treatments and robot classifications. In addition, a few examples of well-known rehabilitation robots will be explained in terms of their efficiency and controlling mechanisms.

scholarly journals Artificial Intelligence-Based Wearable Robotic Exoskeletons for Upper Limb Rehabilitation: A Review

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2146
Author(s):  
Manuel Andrés Vélez-Guerrero ◽  
Mauro Callejas-Cuervo ◽  
Stefano Mazzoleni
Keyword(s):  
Artificial Intelligence ◽  
Upper Limb ◽  
Main Trend ◽  
Motor Rehabilitation ◽  
Rehabilitation Process ◽  
Upper Limb Rehabilitation ◽  
Multiple Sensors ◽  
Meta Analyses ◽  
Limb Rehabilitation ◽  
And Control

Processing and control systems based on artificial intelligence (AI) have progressively improved mobile robotic exoskeletons used in upper-limb motor rehabilitation. This systematic review presents the advances and trends of those technologies. A literature search was performed in Scopus, IEEE Xplore, Web of Science, and PubMed using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology with three main inclusion criteria: (a) motor or neuromotor rehabilitation for upper limbs, (b) mobile robotic exoskeletons, and (c) AI. The period under investigation spanned from 2016 to 2020, resulting in 30 articles that met the criteria. The literature showed the use of artificial neural networks (40%), adaptive algorithms (20%), and other mixed AI techniques (40%). Additionally, it was found that in only 16% of the articles, developments focused on neuromotor rehabilitation. The main trend in the research is the development of wearable robotic exoskeletons (53%) and the fusion of data collected from multiple sensors that enrich the training of intelligent algorithms. There is a latent need to develop more reliable systems through clinical validation and improvement of technical characteristics, such as weight/dimensions of devices, in order to have positive impacts on the rehabilitation process and improve the interactions among patients, teams of health professionals, and technology.

TOWARDS A CLINICALLY COMPLIANT UPPER LIMB PART-TASK TRAINER IN SIMULATED LEARNING PROGRAM

2015 ◽  
Vol 76 (4) ◽  
Author(s):  
Nurul Atiqah Othman ◽  
Noor Ayuni Che Zakaria ◽  
Cheng Yee Low ◽  
Fazah Akhtar Hanapiah ◽  
Takashi Komeda ◽  
...  
Keyword(s):  
Upper Limb ◽  
Clinical Assessment ◽  
Occupational Therapists ◽  
Learning Program ◽  
Patient Simulator ◽  
Rehabilitation Process ◽  
Upper Limb Rehabilitation ◽  
Simulated Learning ◽  
Limb Rehabilitation ◽  
Assessment Scales

Patient simulator is one of the methods physiotherapists and occupational therapists trainee use to improve their skills. The focus here is on spasticity as part of the upper motor neuron (UMN) syndrome. The rehabilitation process for patients with UMN syndrome and management of spasticity is very important because spasticity will affect function and quality of life. A rehabilitation process requires physicians, occupational therapists and physiotherapists to assess the spasticity level using clinical assessment methods. To engage directly with the patients, the clinicians should have enough skill and experience to reduce risk of injury to the patients. Thus, it is mandatory for the physiotherapists and occupational therapists trainee to go through comprehensive training before they can conduct the therapy session. This paper reveals the research urgency in therapist education tools for upper limb rehabilitation training and points out the significance of having compliance with clinical assessment scales.

scholarly journals Design and Analysis of Cloud Upper Limb Rehabilitation System Based on Motion Tracking for Post-Stroke Patients

2019 ◽  
Vol 9 (8) ◽  
pp. 1620 ◽  
Author(s):  
Bai ◽  
Song ◽  
Li
Keyword(s):  
Upper Limb ◽  
Motion Tracking ◽  
Stroke Patients ◽  
Mean Velocity ◽  
Upper Limb Rehabilitation ◽  
Rehabilitation Training ◽  
Post Stroke ◽  
Reachable Workspace ◽  
Rehabilitation System ◽  
Limb Rehabilitation

In order to improve the convenience and practicability of home rehabilitation training for post-stroke patients, this paper presents a cloud-based upper limb rehabilitation system based on motion tracking. A 3-dimensional reachable workspace virtual game (3D-RWVG) was developed to achieve meaningful home rehabilitation training. Five movements were selected as the criteria for rehabilitation assessment. Analysis was undertaken of the upper limb performance parameters: relative surface area (RSA), mean velocity (MV), logarithm of dimensionless jerk (LJ) and logarithm of curvature (LC). A two-headed convolutional neural network (TCNN) model was established for the assessment. The experiment was carried out in the hospital. The results show that the RSA, MV, LC and LJ could reflect the upper limb motor function intuitively from the graphs. The accuracy of the TCNN models is 92.6%, 80%, 89.5%, 85.1% and 87.5%, respectively. A therapist could check patient training and assessment information through the cloud database and make a diagnosis. The system can realize home rehabilitation training and assessment without the supervision of a therapist, and has the potential to become an effective home rehabilitation system.

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