A Passive and Wireless Sensor for Bone Plate Strain Monitoring
AbstractThis paper reports on a sensor for monitoring bone plate strain in real time. The detected bone plate strain could be used for judging the healing state of fractures in patients. The sensor consists of a magnetoelastic material, which can be wirelessly connected and passively embedded. In order to verify the effectiveness of the sensor, a tibia-bone plate-screw (TBS) model was established using the finite element analysis method. A variation of the bone plate strain was obtained via this model. A goat hindquarter tibia was selected as the bone fracture model in the experiment. The tibia was fixed on a high precision load platform and an external force was applied. Bone plate strain variation during the bone fracture healing process was acquired with sensing coils. Simulation results indicated that bone plate strain decreases as the bone gradually heals, which is consistent with the finite element analysis results. This validated the soundness of the sensor reported here. This sensor has wireless connections, no in vivo battery requirement, and long-term embedding. These results can be used not only for clinical practices of bone fracture healing, but also for bone fracture treatment and rehabilitation equipment design. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Tan, Y.; Hu, J.; Ren, L.; Zhu, J.; Yang, J.; Liu, D. A Passive and Wireless Sensor for Bone Plate Strain Monitoring. Sensors 2017, 17, 2635.
Tan Y, Hu J, Ren L, Zhu J, Yang J, Liu D. A Passive and Wireless Sensor for Bone Plate Strain Monitoring. Sensors. 2017; 17(11):2635.Chicago/Turabian Style
Tan, Yisong; Hu, Jiale; Ren, Limin; Zhu, Jianhua; Yang, Jiaqi; Liu, Di. 2017. "A Passive and Wireless Sensor for Bone Plate Strain Monitoring." Sensors 17, no. 11: 2635.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.