Objective:Based on an integrated model of quality function deployment(QFD)and TRIZ theory,this study aims to design an intelligent rehabilitation device tailored for home-based stroke recovery.Method:Initially,a literature review,competitive product analysis,and scenario observation were conducted to examine the current state of rehabilitation devices.Subsequently,grounded theory and means-end chain(MEC)analysis were applied to interview 10 stroke patients,while demand ratings were collected from 29 ex-perts to extract user needs.QFD was used to calculate weightings and construct a house of quality(HOQ),and TRIZ theory was applied to identify and resolve functional conflicts,optimizing the design solution.The final design was evaluated through user ratings and JACK simulation analysis.Result:A multifunctional,intelligent rehabilitation device was developed,supporting 7 joint areas and 10 types of motion,integrated with multi-modal and multi-mode interaction.The design received an average user rating of 8.8 out of 10,and simulation results confirmed its ergonomic feasibility.Conclusion:The proposed design aligns with the current needs of stroke patients for home rehabilitation,dem-onstrating the effectiveness of the QFD-TRIZ integrated approach and providing valuable insights for future re-habilitation device development.

Objective:Based on an integrated model of quality function deployment(QFD)and TRIZ theory,this study aims to design an intelligent rehabilitation device tailored for home-based stroke recovery.Method:Initially,a literature review,competitive product analysis,and scenario observation were conducted to examine the current state of rehabilitation devices.Subsequently,grounded theory and means-end chain(MEC)analysis were applied to interview 10 stroke patients,while demand ratings were collected from 29 ex-perts to extract user needs.QFD was used to calculate weightings and construct a house of quality(HOQ),and TRIZ theory was applied to identify and resolve functional conflicts,optimizing the design solution.The final design was evaluated through user ratings and JACK simulation analysis.Result:A multifunctional,intelligent rehabilitation device was developed,supporting 7 joint areas and 10 types of motion,integrated with multi-modal and multi-mode interaction.The design received an average user rating of 8.8 out of 10,and simulation results confirmed its ergonomic feasibility.Conclusion:The proposed design aligns with the current needs of stroke patients for home rehabilitation,dem-onstrating the effectiveness of the QFD-TRIZ integrated approach and providing valuable insights for future re-habilitation device development.