Research Progress of Rehabilitation Exoskeletal Robot and Evaluation Methodologies Based on Bioelectrical Signals

Wang, Fei; Wei, Xiaotong; Guo, Jiyuan; Zheng, Yi; Li, Jiaqi; Du, Siyi

doi:10.1109/cyber46603.2019.9066492

Cited by 7 publications

(2 citation statements)

References 19 publications

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“…Among them, impedance control and myoelectric signal control signifcantly afect the fexibility of rehabilitation movements, accurately recognizing patients' movement intentions, improving movement control accuracy, and protecting patients from secondary injuries. In contrast, the brain-computer interface (BCI) control method is more challenging to acquire and extract features because the EEG signal is susceptible to multiple interferences, and EEG is not suitable for patients with brain injury [89][90][91][92]. Terefore, the current research on the application of braincomputer interface control is signifcantly constrained [93,94].…”

Section: Human-robot Interactivitymentioning

confidence: 99%

Human Factor Engineering Research for Rehabilitation Robots: A Systematic Review

Song

Liu

Gao

et al. 2023

Computational Intelligence and Neuroscience

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The application of human factors engineering for rehabilitation robots is based on a “human-centered” design philosophy that strives to provide safe and efficient human-robot interaction training for patients rather than depending on rehabilitation therapists. Human factors engineering for rehabilitation robots is undergoing preliminary investigation. However, the depth and breadth of current research do not provide a complete human factor engineering solution for developing rehabilitation robots. This study aims to provide a systematic review of research at the intersection of rehabilitation robotics and ergonomics to understand the progress and state-of-the-art research on critical human factors, issues, and corresponding solutions for rehabilitation robots. A total of 496 relevant studies were obtained from six scientific database searches, reference searches, and citation-tracking strategies. After applying the selection criteria and reading the full text of each study, 21 studies were selected for review and classified into four categories based on their human factor objectives: implementation of high safety, implementation of lightweight and high comfort, implementation of high human-robot interaction, and performance evaluation index and system studies. Based on the results of the studies, recommendations for future research are presented and discussed.

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Section: Human-robot Interactivitymentioning

confidence: 99%

Human Factor Engineering Research for Rehabilitation Robots: A Systematic Review

Song

Liu

Gao

et al. 2023

Computational Intelligence and Neuroscience

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“…The number of disabled persons is increasing every year due to accidents such as work-related injuries, diseases, traffic accidents, and natural disasters [ 1 ]. At present, the research of the medical rehabilitation industry focuses on the design and development of intelligent prosthesis and its structure optimization [ 2 , 3 ].…”

Section: Introductionmentioning

confidence: 99%

Selection of EMG Sensors Based on Motion Coordinated Analysis

Liu

Xuan

Zhang

et al. 2021

Sensors

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The intelligent prosthesis driven by electromyography (EMG) signal provides a solution for the movement of the disabled. The proper position of EMG sensors can improve the prosthesis’s motion recognition ability. To exert the amputee’s action-oriented ability and the prosthesis’ control ability, the EMG spatial distribution and internal connection of the prosthetic wearer is analyzed in three kinds of movement conditions: appropriate angle, excessive angle, and angle too small. Firstly, the correlation characteristics between the EMG channels are analyzed by mutual information to construct a muscle functional network. Secondly, the network’s features of different movement conditions are analyzed by calculating the characteristic of nodes and evaluating the importance of nodes. Finally, the convergent cross-mapping method is applied to construct a directed network, and the critical muscle groups which can reflect the user’s movement intention are determined. Experiment shows that this method can accurately determine the EMG location and simplify the distribution of EMG sensors inside the prosthetic socket. The network characteristics of key muscle groups can distinguish different movements effectively and provide a new strategy for decoding the relationship between limb nerve control and body movement.

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Intention Based Comparative Analysis of Human-Robot Interaction

et al. 2020

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Human-robot interaction is inevitable due to the increase of the autonomous intelligent machines in the human vicinity. The autonomous machines should synchronize with the interacting human. The key factor for synchronized Human-Robot Interaction (HRI) is a human intention. The interacting machine must have the clue about the intention of the interacting human for a useful interaction. In this review paper, recently proposed intention-based approaches for human-robot interaction are discussed. The approaches are categorized concerning different aspects, e.g., application area, specialized and generalized estimation techniques, etc. The review categorized the recently proposed approaches into five categories. The categorization is mainly based on the application areas of the intention recognition approaches. The type of approaches includes general and application-specific approaches. The application areas include synchronized physical human-assistance, human-synchronized vehicles, etc. The vehicles are synchronized with the driver and the pedestrian. The study highlighted the currently active as well as the dormant areas of the intention-based human-robot interaction and indicated new directions.

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Research Progress of Rehabilitation Exoskeletal Robot and Evaluation Methodologies Based on Bioelectrical Signals

Cited by 7 publications

References 19 publications

Human Factor Engineering Research for Rehabilitation Robots: A Systematic Review

Human Factor Engineering Research for Rehabilitation Robots: A Systematic Review

Selection of EMG Sensors Based on Motion Coordinated Analysis

Intention Based Comparative Analysis of Human-Robot Interaction

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