TY - GEN
T1 - Designing a Wearable Device for Early-Stage Diabetic Foot
T2 - 17th International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, DHM 2026, held as part of the 28th International Conference on Human-Computer Interaction, HCII 2026
AU - Miao, Kexin
AU - Tian, Yuxuan
AU - Qiao, Ruoxin
AU - Niu, Siran
AU - Chen, Yun
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
PY - 2026
Y1 - 2026
N2 - Diabetic foot is a common complication among patients with diabetes mellitus. Its early symptoms are often overlooked, resulting in many patients being diagnosed and treated only after the condition has progressed to a severe stage. Therefore, early monitoring and intervention are crucial to controlling the course of the disease. With the development of technology, the management of diabetic foot is gradually evolving towards intelligence and personalization, and the application of smart wearable devices and “Internet+Healthcare” provides new solutions. This study focuses on the home care scenarios of patients with early to mid-stage diabetic foot management, and selects middle-aged and elderly people as the research subjects, taking into account the patients’ health management needs and nursing support needs. The study used VOSviewer software to conduct a bibliometric analysis of keyword co-occurrence, followed by a research analysis and prioritization of user needs through rooted theory coding and KANO modeling to distill five dimensions and 15 core needs. Based on the needs, this study designed a diabetic foot early and mid-term monitoring and physical therapy product, and evaluated the design solution through the User Experience Questionnaire (UEQ) and System Usability Scale (SUS). The validation results show that the solution, which combines biosensing technology, age-appropriate interaction design and intelligent health management platform, is feasible and effective. This study provides theoretical support and practical references for the development of diabetic foot rehabilitation products and is expected to improve patients’ quality of life and treatment outcomes.
AB - Diabetic foot is a common complication among patients with diabetes mellitus. Its early symptoms are often overlooked, resulting in many patients being diagnosed and treated only after the condition has progressed to a severe stage. Therefore, early monitoring and intervention are crucial to controlling the course of the disease. With the development of technology, the management of diabetic foot is gradually evolving towards intelligence and personalization, and the application of smart wearable devices and “Internet+Healthcare” provides new solutions. This study focuses on the home care scenarios of patients with early to mid-stage diabetic foot management, and selects middle-aged and elderly people as the research subjects, taking into account the patients’ health management needs and nursing support needs. The study used VOSviewer software to conduct a bibliometric analysis of keyword co-occurrence, followed by a research analysis and prioritization of user needs through rooted theory coding and KANO modeling to distill five dimensions and 15 core needs. Based on the needs, this study designed a diabetic foot early and mid-term monitoring and physical therapy product, and evaluated the design solution through the User Experience Questionnaire (UEQ) and System Usability Scale (SUS). The validation results show that the solution, which combines biosensing technology, age-appropriate interaction design and intelligent health management platform, is feasible and effective. This study provides theoretical support and practical references for the development of diabetic foot rehabilitation products and is expected to improve patients’ quality of life and treatment outcomes.
KW - Diabetic foot
KW - Healthcare
KW - KANO
KW - Monitoring and physical therapy
KW - Rootedness theory
KW - SUS
KW - UEQ
KW - User experience and usability
UR - https://www.scopus.com/pages/publications/105043918646
U2 - 10.1007/978-3-032-29842-3_2
DO - 10.1007/978-3-032-29842-3_2
M3 - Conference contribution
AN - SCOPUS:105043918646
SN - 9783032298416
T3 - Lecture Notes in Computer Science
SP - 19
EP - 35
BT - Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management - 17th International Conference, DHM 2026, Held as Part of the 28th HCI International Conference, HCII 2026, Proceedings
A2 - Duffy, Vincent G.
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 26 July 2026 through 31 July 2026
ER -