The incidence of lower limb amputation has increased in recent years. Prosthesis is the most important assistive device to compensate for limb defects in amputation patients and restore their abilities. The prosthetic socket is a key component connecting the residual limb and the prosthesis, with a direct effect on the function of the prosthesis and the patient’s comfort. As prosthetic socket design relies on the personal experience of prosthetists, this study explored an optimized prosthetic socket design method that combined the experiences of multiple prosthetists. The eigenvector algorithm was adopted to optimize the factors influencing prosthetic socket design and their quantitative compensations based on the design experience of prosthetists. Clinical assessments indicated that the proposed socket design method substantially improved fitting effects. This quantitative compensation design for prosthetic sockets will help overcome the limitations of traditional prosthetic socket design, which will be of great importance in improving the design accuracy and efficiency of prosthetic sockets.
BACKGROUND: As an emerging exoskeleton robot technology, flexible lower limb exoskeleton (FLLE) integrates flexible drive and wearable mechanism, effectively solving many problems of traditional rigid lower limb exoskeleton (RLLE) such as higher quality, poorer compliance and relatively poor portability, and has become one of the important development directions in the field of active rehabilitation. OBJECTIVE: This review focused on the development and innovation process in the field of FLLE in the past decade. METHOD: Related literature published from 2010 to 2021 were searched in EI, IEEE Xplore, PubMed and Web of Science databases. Seventy target research articles were further screened and sorted through inclusion and exclusion criteria. RESULTS: FLLE is classified according to different driving modes, and the advantages and disadvantages of passive flexible lower limb exoskeletons and active flexible lower limb exoskeletons are comprehensively summarized. CONCLUSION: At present, FLLE’s research is mainly based on cable drive, bionic pneumatic muscles followed and matured, and new exoskeleton designs based on smart material innovations also trend to diversify. In the future, the development direction of FLLE will be lightweight and drive compliance, and the multi-mode sensory feedback control theory, motion intention recognition theory and human-machine interaction theory will be combined to reduce the metabolic energy consumption of walking.
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