Abstract:Flexible soft exoskeletons, so-called exosuits, are robotic devices that interact with their users to assist or enhance muscle performance. Their lightweight design and lack of rigid parts allow assisting the user's natural motion without any constraints. They are thereby valuable in carrying out daily labour tasks and performing active stances of rehabilitation. Nonetheless, the usage of these devices in long-term applications demands anatomically adaptive designs and mechanisms to tackle textile artefacts an… Show more
“…Within the reviewed literature, the wearable exoskeletons were particularly noteworthy, representing 53% of the documents included (see Figure 5 a). In this segment, among the exoskeletons with the highest degree of portability, there were some cable operated devices [ 50 , 51 ] wherein most of the structure is flexible and lightweight. The paper of Samper-Escudero [ 50 ], pointed out that the developed exoskeleton is anatomically adaptable based on the height of each patient.…”
Section: Resultsmentioning
confidence: 99%
“…In this segment, among the exoskeletons with the highest degree of portability, there were some cable operated devices [ 50 , 51 ] wherein most of the structure is flexible and lightweight. The paper of Samper-Escudero [ 50 ], pointed out that the developed exoskeleton is anatomically adaptable based on the height of each patient. On the other hand, Varghese’s [ 51 ] development highlighted the lightness of the device, weighing approximately 950 g.…”
Section: Resultsmentioning
confidence: 99%
“…Other developments were reflected in the 12% of the reviewed literature corresponding to soft exoskeletons, which lack a rigid structure. Soft–type exoskeletons [ 50 , 51 ] promote a new generation of attrition-resistant robots that use anatomical body structures. A flexible and soft device was highlighted in [ 50 ] to assist the user’s natural movement without any restrictions.…”
Section: Resultsmentioning
confidence: 99%
“…Finally, a small percentage of studies reported the use of different types of soft or semi-rigid materials [ 32 , 50 , 51 ], corresponding to 13% of the reviewed literature; thermoformed plastic currently represents only a small portion (7%). In particular, in the orthosis shown in [ 28 ], materials such as thermoplastic urethane (TPU) were used, providing durability and flexibility to the design.…”
Section: Resultsmentioning
confidence: 99%
“…Complex systems have implemented an active operation mode [ 27 , 32 , 41 , 48 , 50 ], which was focused on providing full assistance to the affected limb. The support to the upper limbs is triggered by the measurement of the activity in the electroencephalography (EEG) or electromyography (EMG) systems, and in some cases by eye-tracking data.…”
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.
“…Within the reviewed literature, the wearable exoskeletons were particularly noteworthy, representing 53% of the documents included (see Figure 5 a). In this segment, among the exoskeletons with the highest degree of portability, there were some cable operated devices [ 50 , 51 ] wherein most of the structure is flexible and lightweight. The paper of Samper-Escudero [ 50 ], pointed out that the developed exoskeleton is anatomically adaptable based on the height of each patient.…”
Section: Resultsmentioning
confidence: 99%
“…In this segment, among the exoskeletons with the highest degree of portability, there were some cable operated devices [ 50 , 51 ] wherein most of the structure is flexible and lightweight. The paper of Samper-Escudero [ 50 ], pointed out that the developed exoskeleton is anatomically adaptable based on the height of each patient. On the other hand, Varghese’s [ 51 ] development highlighted the lightness of the device, weighing approximately 950 g.…”
Section: Resultsmentioning
confidence: 99%
“…Other developments were reflected in the 12% of the reviewed literature corresponding to soft exoskeletons, which lack a rigid structure. Soft–type exoskeletons [ 50 , 51 ] promote a new generation of attrition-resistant robots that use anatomical body structures. A flexible and soft device was highlighted in [ 50 ] to assist the user’s natural movement without any restrictions.…”
Section: Resultsmentioning
confidence: 99%
“…Finally, a small percentage of studies reported the use of different types of soft or semi-rigid materials [ 32 , 50 , 51 ], corresponding to 13% of the reviewed literature; thermoformed plastic currently represents only a small portion (7%). In particular, in the orthosis shown in [ 28 ], materials such as thermoplastic urethane (TPU) were used, providing durability and flexibility to the design.…”
Section: Resultsmentioning
confidence: 99%
“…Complex systems have implemented an active operation mode [ 27 , 32 , 41 , 48 , 50 ], which was focused on providing full assistance to the affected limb. The support to the upper limbs is triggered by the measurement of the activity in the electroencephalography (EEG) or electromyography (EMG) systems, and in some cases by eye-tracking data.…”
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.
In recent years, advances in modern technology have altered the practice of surgery from open to minimally invasive surgery (MIS) aided by robots. Teleoperated surgical robotic systems (TSRSs) provide numerous significant benefits for MIS over traditional approaches, including improved safety, more efficient and precise surgery, better cosmesis, shorter recovery time, and reduced postoperative pain. Existing TSRSs' master consoles, with improvements in vision systems, designs, and control methods, have significantly enhanced human-robot interactions, resulting in safer and more accurate medical intervention operations. Despite advances, haptic technologies, including sensors, machine assistance, and intuitive devices for user interfaces, are still limited, resulting in less effective usage of TSRSs for surgical operations. This review presents a summary of the emerging TSRSs with a focus on their user interfaces. In addition, advanced sensing, haptic, smart garments, and medical image artificial intelligence (AI) assistance technologies are shown with their potential for use in master consoles of the TSRSs are shown. Finally, a discussion on the need for a smart human-robot interface for TSRSs is given.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.