A Review Regarding Hand Exoskeleton  Technologies for Rehabilitation

Birouaș, Flaviu; Avram, Florin; Nilgesz, Arnold; Mihalca, Vlad Ovidiu

doi:10.17667/riim.2018.1/9

Cited by 7 publications

(4 citation statements)

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“…Gu et al [70] provided valuable information on advances in hardware and software components of hand function rehabilitation systems, integrating gesture recognition devices and artificial intelligence modules. Similarly, Birouas , et al [71] performed a statistical analysis of trends in hand exoskeleton technology, shedding light on current applications and technological advances. In addition, Shahid et al [54] explored the evolution of handheld exoskeleton design, with a specific focus on the incorporation of soft robotics technology in mechanical design, actuation units, and sensory feedback control.…”

Section: Past Reviews Of Soft Hand Exoskeletonsmentioning

confidence: 99%

Soft Hand Exoskeletons for Rehabilitation: Approaches to Design, Manufacturing Methods, and Future Prospects

Saldarriaga,

Gutierrez-Velasquez,

Colorado

2024

Robotics

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Stroke, the third leading cause of global disability, poses significant challenges to healthcare systems worldwide. Addressing the restoration of impaired hand functions is crucial, especially amid healthcare workforce shortages. While robotic-assisted therapy shows promise, cost and healthcare community concerns hinder the adoption of hand exoskeletons. However, recent advancements in soft robotics and digital fabrication, particularly 3D printing, have sparked renewed interest in this area. This review article offers a thorough exploration of the current landscape of soft hand exoskeletons, emphasizing recent advancements and alternative designs. It surveys previous reviews in the field and examines relevant aspects of hand anatomy pertinent to wearable rehabilitation devices. Furthermore, the article investigates the design requirements for soft hand exoskeletons and provides a detailed review of various soft exoskeleton gloves, categorized based on their design principles. The discussion encompasses simulation-supported methods, affordability considerations, and future research directions. This review aims to benefit researchers, clinicians, and stakeholders by disseminating the latest advances in soft hand exoskeleton technology, ultimately enhancing stroke rehabilitation outcomes and patient care.

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Section: Past Reviews Of Soft Hand Exoskeletonsmentioning

confidence: 99%

Soft Hand Exoskeletons for Rehabilitation: Approaches to Design, Manufacturing Methods, and Future Prospects

Saldarriaga,

Gutierrez-Velasquez,

Colorado

2024

Robotics

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“…Considering a variety of mechanical designs present in this field of research [34], there are a few distinct constructive types that stand out. A solution with direct matching of the finger joint centers (DMFJC) was developed by Chiri et al [6] which can be observed in Figure 2a.…”

Section: General Considerationsmentioning

confidence: 99%

Preliminary Results in Testing of a Novel Asymmetric Underactuated Robotic Hand Exoskeleton for Motor Impairment Rehabilitation

et al. 2020

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Robotic exoskeletons are a trending topic in both robotics and rehabilitation therapy. The research presented in this paper is a summary of robotic exoskeleton development and testing for a human hand, having application in motor rehabilitation treatment. The mechanical design of the robotic hand exoskeleton implements a novel asymmetric underactuated system and takes into consideration a number of advantages and disadvantages that arose in the literature in previous mechanical design, regarding hand exoskeleton design and also aspects related to the symmetric and asymmetric geometry and behavior of the biological hand. The technology used for the manufacturing and prototyping of the mechanical design is 3D printing. A comprehensive study of the exoskeleton has been done with and without the wearer’s hand in the exoskeleton, where multiple feedback sources are used to determine symmetric and asymmetric behaviors related to torque, position, trajectory, and laws of motion. Observations collected during the experimental testing proved to be valuable information in the field of augmenting the human body with robotic devices.

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“…The exoskeleton can be classified based on the material used, control method, signal sensing, user training, power transmission, mechanisms, the purpose of use and actuated limb type, as shown in Figure 1. Most of the existing review papers in the field of robotic exoskeletons have Figure 1 Chart showcasing criteria-based classification of exoskeleton narrowed their scope to specific areas such as the lower limb (Srivastava et al, 2020), upper limb (Dubey and Agrawal, 2011), hand (Birouas , et al, 2018;Zhang et al, 2009), shoulder (Cornejo et al, 2021;Majidi and Vatan, 2021), control methods (Abiri et al, 2019;Al-Quraishi et al, 2018;Gu et al, 2021;Miao et al, 2018), exoskeleton recent business developments (Bogue, 2022), wearable exoskeletons (Khakurel et al, 2018) and material used (Hussain et al, 2021). However, the key factors that decide the performance of the exoskeleton are the signalsensing systems, actuators and user training methods.…”

Section: Introductionmentioning

confidence: 99%

A systematic review of technological advancements in signal sensing, actuation, control and training methods in robotic exoskeletons for rehabilitation

Mathew

Thomas

Navaneeth

et al. 2022

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Purpose The purpose of this review paper is to address the substantial challenges of the outdated exoskeletons used for rehabilitation and further study the current advancements in this field. The shortcomings and technological developments in sensing the input signals to enable the desired motions, actuation, control and training methods are explained for further improvements in exoskeleton research. Design/methodology/approach Search platforms such as Web of Science, IEEE, Scopus and PubMed were used to collect the literature. The total number of recent articles referred to in this review paper with relevant keywords is filtered to 143. Findings Exoskeletons are getting smarter often with the integration of various modern tools to enhance the effectiveness of rehabilitation. The recent applications of bio signal sensing for rehabilitation to perform user-desired actions promote the development of independent exoskeleton systems. The modern concepts of artificial intelligence and machine learning enable the implementation of brain–computer interfacing (BCI) and hybrid BCIs in exoskeletons. Likewise, novel actuation techniques are necessary to overcome the significant challenges seen in conventional exoskeletons, such as the high-power requirements, poor back drivability, bulkiness and low energy efficiency. Implementation of suitable controller algorithms facilitates the instantaneous correction of actuation signals for all joints to obtain the desired motion. Furthermore, applying the traditional rehabilitation training methods is monotonous and exhausting for the user and the trainer. The incorporation of games, virtual reality (VR) and augmented reality (AR) technologies in exoskeletons has made rehabilitation training far more effective in recent times. The combination of electroencephalogram and electromyography-based hybrid BCI is desirable for signal sensing and controlling the exoskeletons based on user intentions. The challenges faced with actuation can be resolved by developing advanced power sources with minimal size and weight, easy portability, lower cost and good energy storage capacity. Implementation of novel smart materials enables a colossal scope for actuation in future exoskeleton developments. Improved versions of sliding mode control reported in the literature are suitable for robust control of nonlinear exoskeleton models. Optimizing the controller parameters with the help of evolutionary algorithms is also an effective method for exoskeleton control. The experiments using VR/AR and games for rehabilitation training yielded promising results as the performance of patients improved substantially. Research limitations/implications Robotic exoskeleton-based rehabilitation will help to reduce the fatigue of physiotherapists. Repeated and intention-based exercise will improve the recovery of the affected part at a faster pace. Improved rehabilitation training methods like VR/AR-based technologies help in motivating the subject. Originality/value The paper describes the recent methods for signal sensing, actuation, control and rehabilitation training approaches used in developing exoskeletons. All these areas are key elements in an exoskeleton where the review papers are published very limitedly. Therefore, this paper will stand as a guide for the researchers working in this domain.

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A Review Regarding Hand Exoskeleton Technologies for Rehabilitation

Cited by 7 publications

References 0 publications

Soft Hand Exoskeletons for Rehabilitation: Approaches to Design, Manufacturing Methods, and Future Prospects

Soft Hand Exoskeletons for Rehabilitation: Approaches to Design, Manufacturing Methods, and Future Prospects

Preliminary Results in Testing of a Novel Asymmetric Underactuated Robotic Hand Exoskeleton for Motor Impairment Rehabilitation

A systematic review of technological advancements in signal sensing, actuation, control and training methods in robotic exoskeletons for rehabilitation

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