Human-machine Analysis and Design Optimization of Mobile Medical Diagnostic Equipment for the Elderly

LU Ying; SHEN Zhengyi; MA Yukun; XIE Quanna; ZHANG Lan

doi:10.19554/j.cnki.1001-3563.2025.12.033

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Packaging Engineering ›› 2025, Vol. 46 ›› Issue (12) : 349-356. DOI: 10.19554/j.cnki.1001-3563.2025.12.033

Design Discussion

Human-machine Analysis and Design Optimization of Mobile Medical Diagnostic Equipment for the Elderly

LU Ying^1,2, SHEN Zhengyi^1,2*, MA Yukun^1,2, XIE Quanna^1,2, ZHANG Lan¹

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Abstract

The work aims to improve the mobile medical diagnostic environment for elderly individuals and enhance their comfort and diagnosis efficiency during the medical diagnosis process. This study analyzed the mobile medical diagnostic equipment for the elderly and established their medical diagnosis postures. JACK simulation analysis software was selected to simulate and study the visibility, reachability, and comfort of elderly individuals during the mobile medical diagnosis process. Based on the simulation analysis results, the cabin design of the mobile medical diagnostic equipment was improved. The simulation analysis of the improved design verified that the comfort and efficiency of the elderly's physical examinations were significantly enhanced, meeting the individual differences and needs of elderly users. Through the use of JACK simulation analysis software, the cabin of the mobile medical diagnostic equipment for the elderly can effectively identify human-machine engineering deficiencies in the current design, improve the rationality of human-machine design, and provide theoretical and practical references for future designs of mobile medical diagnostic equipment.

Key words

human-machine analysis / mobile medical diagnostic equipment / JACK / the elderly

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LU Ying, SHEN Zhengyi, MA Yukun, XIE Quanna, ZHANG Lan. Human-machine Analysis and Design Optimization of Mobile Medical Diagnostic Equipment for the Elderly[J]. Packaging Engineering. 2025, 46(12): 349-356 https://doi.org/10.19554/j.cnki.1001-3563.2025.12.033

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