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Bio-Stimulated Lower Limb Rehabilitation Robot Semantic Analogy Fit Design.

Tianyi Yao1,2, Hongfei Yu3, Zhongzhi Qin1,2

  • 1School of Art and Design, Yanshan University, Qinhuangdao 066000, China.

Biomimetics (Basel, Switzerland)
|March 26, 2025
PubMed
Summary

This study enhances lower limb rehabilitation product design by using biological information to guide functional and aesthetic improvements. This biomimetic approach optimizes training effects and product efficiency.

Keywords:
analogy analysisbiological incentivesbionic designlower limb rehabilitationsimilarity calculations

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Area of Science:

  • Biomedical Engineering
  • Product Design
  • Biomimetics

Background:

  • Lower limb rehabilitation products often lack applicability in interaction, user comfort, and aesthetic design.
  • Existing designs may not fully leverage biological principles for enhanced functionality.

Purpose of the Study:

  • To improve the functional interaction, user experience, and aesthetic design of lower limb rehabilitation products.
  • To develop a bio-information-driven cross-domain mapping method for product design.
  • To enhance the design applicability and effectiveness of rehabilitation devices.

Main Methods:

  • Utilized patent knowledge mining to identify functional requirements for lower limb rehabilitation products.
  • Employed a biological excitation function system and cross-domain mapping for design guidance.
  • Applied analogy and similarity calculation to screen biological prototypes and determine engineering relationships.

Main Results:

  • Achieved a 95% acquisition rate for functional design requirements using text mining.
  • Obtained biological design prototypes with over 79% accuracy through similarity calculation.
  • Demonstrated the feasibility of an accurate bioinformatics design method.

Conclusions:

  • The bio-information-driven design method significantly optimizes training effects and operational efficiency.
  • Biomimetic principles enhance the morphology and modeling of lower limb rehabilitation products.
  • This approach improves the rigor and applicability of bioinformatics in product design.