A Multisession Evaluation of a Collaborative Virtual Environment for Arm Rehabilitation

2020 ◽  
Vol 27 (3) ◽  
pp. 274-286
Author(s):  
Maja Goršič ◽  
Imre Cikajlo ◽  
Nika Goljar ◽  
Domen Novak

In recent years, several multi-user virtual environments (VEs) have been developed to promote motivation and exercise intensity in motor rehabilitation. While competitive VEs have been extensively evaluated, collaborative and competitive rehabilitation VEs have seen relatively little study. Therefore, this article presents an evaluation of a VE for post-stroke arm rehabilitation that mimics everyday kitchen tasks and can be used either solo or collaboratively. Twenty subacute stroke survivors exercised with the VE for four sessions, with the first and third sessions involving solo exercise and the other two involving collaborative exercise. Exercise intensity was measured using inertial sensors while motivation was measured with questionnaires. Results showed high motivation and exercise intensity over all four sessions, and 11 of 20 participants preferred collaborative over solo exercise while only 4 preferred solo exercise. However, there were no differences in motivation, exercise duration, or exercise intensity between solo and collaborative sessions. Thus, we cannot currently claim that collaborative exercises are beneficial for upper limb rehabilitation. Future studies should evaluate other collaborative VE designs in different settings (e.g., at home) and with different participant pairs (e.g., patient-unimpaired) to find effective ways to utilize collaborative exercises in motor rehabilitation.

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2146
Author(s):  
Manuel Andrés Vélez-Guerrero ◽  
Mauro Callejas-Cuervo ◽  
Stefano Mazzoleni

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.


2014 ◽  
Vol 625 ◽  
pp. 638-643 ◽  
Author(s):  
Jung Hyun Choi ◽  
Dong Hwan Shin ◽  
Tae Sang Park ◽  
Choong Pyo Jeong ◽  
Jeon Il Moon ◽  
...  

In the design of upper limb rehabilitation robots, critical issues to be considered are large workspace with minimum singularities to cover enough patients’ upper limb range of motion and higher manipulability for the patients to easily and freely move their arm with applying almost the same force to every direction in a given posture. This paper presents an analysis of the suggested kinematic design considerations of five-bar planar mechanism according to the actuator locations. A comparison between two different five-bar linkage types is given. Finally, several open challenges for the applicability of five-bar planar mechanisms are discussed from the kinematic point of view to upper limb rehabilitation robots.


2021 ◽  
Vol 11 (5) ◽  
pp. 587
Author(s):  
Irene Aprile ◽  
Giulia Guardati ◽  
Valeria Cipollini ◽  
Dionysia Papadopoulou ◽  
Serena Monteleone ◽  
...  

Cognitive decline is often present in stroke survivors, with a significant impact on motor recovery. However, how specific cognitive domains could impact motor recovery after robotic rehabilitation in patients with stroke is still not well understood. In this study, we analyzed the relationship between cognitive impairment and the outcome of a robot-mediated upper limb rehabilitation intervention in a sample of 51 subacute stroke patients. Participants were enrolled and treated with a set of robotic and sensor-based devices. Before the intervention, patients underwent a cognitive assessment by means of the Oxford Cognitive Screen. To assess the effect of the 30-session rehabilitation intervention, patients were assessed twice with the following outcome measures: the Fugl-Meyer Assessment for Upper Extremity (FMA-UE), to evaluate motor function; the Upper limb Motricity Index (MI), to evaluate upper limb muscle strength; the Modified Barthel Index (mBI), to evaluate activities of daily living and mobility. We found that deficits in spatial attention and executive functions impacted the mBI improvement, while language, number processing, and spatial attention deficits reduced the gains in the FMA-UE. These results suggest the importance to evaluate the cognitive functions using an adequate tool in patients with stroke undergoing a robotic rehabilitation intervention.


2020 ◽  
Vol 10 (8) ◽  
Author(s):  
Wai‐tong Chien ◽  
Yuen‐yu Chong ◽  
Man‐kei Tse ◽  
Cheuk‐woon Chien ◽  
Ho‐yu Cheng

2015 ◽  
Vol 14 (4) ◽  
pp. 175-181
Author(s):  
Alexandru-Valer Grigoras ◽  
◽  
Bogdan Ignat ◽  
Marian Poboroniuc ◽  
Dragos Popescu ◽  
...  

Stroke represents the main cause of disability in adults. The disability is caused by motor or sensitive impairment, loss of interjoint coordination, spasticity and pathological synergies that occur after stroke. The new directions in motor rehabilitation point at facilitating neuroplasticity by multimodal stimulation, like virtual reality, or by active assistance in task specific training, like rehabilitation robots associated or not with functional electrical stimulation (FES). The aim of this article is, on one hand, to analyze the way in which the existing robots face the biomechanical challenges of modeling the upper limb`s movements and, on the other hand, to evaluate the efficiency of robotics in rehabilitation, by pointing out the results of the existing clinical trials. Finally, possible directions for future research are discussed.


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