Paper
6 May 2024 Design of intelligent medical fracture splint with pressure detection and cloud database
Kun Li, Pu Yan, Shuo Feng, Wenjun Liu, Aiguo Wang, Benqi Lu
Author Affiliations +
Proceedings Volume 13107, Fourth International Conference on Sensors and Information Technology (ICSI 2024); 131073Y (2024) https://doi.org/10.1117/12.3029116
Event: Fourth International Conference on Sensors and Information Technology (ICSI 2024), 2024, Xiamen, China
Abstract
Medical splint is a widely used conservative treatment method for fractures, offering numerous advantages such as low risk, reduced pain, and cost-effectiveness. However, the absence of pressure detection capability in traditional splints poses several limitations and challenges in the management of bone fractures. To address this issue, an innovative intelligent medical splint integrating pressure signal acquisition and cloud storage capabilities has been developed. The intelligent medical splint incorporates resistance strain gauges as pressure sensors, enabling accurate measurement of clamp pressure values. An amplification circuit is employed to enhance the accuracy of sampled signals. Simultaneously, the integration of database systems and internet cloud technology allows for the storage of collected pressure values in the cloud. These values are presented to users through a user-friendly graphical interface accessible via various devices such as computers and mobile phones. This ensures convenient access to patient data anytime and anywhere. To guarantee the long-term stability of the equipment, a watchdog circuit is implemented, significantly enhancing its reliability. Extensive human wearing experiments and rigorous testing have validated the functional efficiency and notable advantages of this design, demonstrating its compatibility with the requirements of fracture patients.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Kun Li, Pu Yan, Shuo Feng, Wenjun Liu, Aiguo Wang, and Benqi Lu "Design of intelligent medical fracture splint with pressure detection and cloud database", Proc. SPIE 13107, Fourth International Conference on Sensors and Information Technology (ICSI 2024), 131073Y (6 May 2024); https://doi.org/10.1117/12.3029116
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KEYWORDS
Design

Clouds

Databases

Batteries

Resistance

Lithium

Sensors

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