Abstract:According to the neuro-rehabilitation theory, compared with unilateral training, bilateral training is proven to be an effective method for hemiparesis, which affects the most part of stroke patients. In this study, a novel bilateral rehabilitation training system, which incorporates a lightweight exoskeleton device worn on the affected limb; a haptic device (Phantom Premium), which is used for generating a desired tactile feedback for the affected limb; and a VR (virtual reality) graphic interface, has been d… Show more
“…Some of the developments shown in this literature review corresponded to rigid bilateral systems [ 27 , 34 , 49 , 55 ], designed specifically for synchronous motor rehabilitation. Some of them proposed different methodologies to detect the movement intentions and to replicate them using a leader–follower architecture.…”
Section: Resultsmentioning
confidence: 99%
“…As regards the structural materials used in the reviewed devices, 30% of the developments showed mixtures of two or more materials in their structures (see Figure 5 c). The addition of plastic elements to the metal structures that improve the physical appearance and reduce the weight represents the most common form of combination [ 23 , 34 , 46 ]. In developments such as [ 40 ], ANSYS static analysis was also used to examine the maximum strength and pressure of the mechanical structure, thereby helping to select the best materials.…”
Section: Resultsmentioning
confidence: 99%
“…As regards compact active exoskeletons, in the paper of Lambelet et al [ 29 ] an electrically actuated exoskeleton for rehabilitation of the wrist joint was presented. For its part, the development shown in [ 34 ] has highlighted the use of the active operation mode where Series Elastic Actuators (SEA) able to reduce the inertia and intrinsic impedance of the actuator, provide a more precise and stable force control.…”
Section: Resultsmentioning
confidence: 99%
“…Indeed, two-DoF modelling is quite common [ 25 , 50 ]; shoulder and elbow joint movement prevail. In [ 34 ] the constant alignment between the user’s elbow and the axes of the exoskeleton during movement was performed by means of passive mechanisms that can avoid the translational forces caused by the misalignment of the joints.…”
Section: Resultsmentioning
confidence: 99%
“…Finally, papers such as [ 34 , 37 , 41 ] showed other simple control methods based on AI techniques, integrating biological signals, which are able to provide the exoskeletons with good handling capabilities while extracting the main characteristics and patterns of the input signals.…”
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.
“…Some of the developments shown in this literature review corresponded to rigid bilateral systems [ 27 , 34 , 49 , 55 ], designed specifically for synchronous motor rehabilitation. Some of them proposed different methodologies to detect the movement intentions and to replicate them using a leader–follower architecture.…”
Section: Resultsmentioning
confidence: 99%
“…As regards the structural materials used in the reviewed devices, 30% of the developments showed mixtures of two or more materials in their structures (see Figure 5 c). The addition of plastic elements to the metal structures that improve the physical appearance and reduce the weight represents the most common form of combination [ 23 , 34 , 46 ]. In developments such as [ 40 ], ANSYS static analysis was also used to examine the maximum strength and pressure of the mechanical structure, thereby helping to select the best materials.…”
Section: Resultsmentioning
confidence: 99%
“…As regards compact active exoskeletons, in the paper of Lambelet et al [ 29 ] an electrically actuated exoskeleton for rehabilitation of the wrist joint was presented. For its part, the development shown in [ 34 ] has highlighted the use of the active operation mode where Series Elastic Actuators (SEA) able to reduce the inertia and intrinsic impedance of the actuator, provide a more precise and stable force control.…”
Section: Resultsmentioning
confidence: 99%
“…Indeed, two-DoF modelling is quite common [ 25 , 50 ]; shoulder and elbow joint movement prevail. In [ 34 ] the constant alignment between the user’s elbow and the axes of the exoskeleton during movement was performed by means of passive mechanisms that can avoid the translational forces caused by the misalignment of the joints.…”
Section: Resultsmentioning
confidence: 99%
“…Finally, papers such as [ 34 , 37 , 41 ] showed other simple control methods based on AI techniques, integrating biological signals, which are able to provide the exoskeletons with good handling capabilities while extracting the main characteristics and patterns of the input signals.…”
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.
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