Borchani Wassim, Aono Kenji, Lajnef Nizar, Chakrabartty Shantanu
IEEE Trans Biomed Eng. 2016 Jul;63(7):1463-72. doi: 10.1109/TBME.2015.2496237. Epub 2015 Oct 30.
Achieving better surgical outcomes in cases of traumatic bone fractures requires postoperative monitoring of changes in the growth and mechanical properties of the tissue and bones during the healing process. While current in-vivo imaging techniques can provide a snapshot of the extent of bone growth, it is unable to provide a history of the healing process, which is important if any corrective surgery is required. Monitoring the time evolution of in-vivo mechanical loads using existing technology is a challenge due to the need for continuous power while maintaining patient mobility and comfort.
This paper investigates the feasibility of self-powered monitoring of the bone-healing process using our previously reported piezo-floating-gate (PFG) sensors. The sensors are directly integrated with a fixation device and operate by harvesting energy from microscale strain variations in the fixation structure.
We show that the sensors can record and store the statistics of the strain evolution during the healing process for offline retrieval and analysis. Additionally, we present measurement results using a biomechanical phantom comprising of a femur fracture fixation plate; bone healing is emulated by inserting different materials, with gradually increasing elastic moduli, inside a fracture gap.
The PFG sensor can effectively sense, compute, and record continuously evolving statistics of mechanical loading over a typical healing period of a bone, and the statistics could be used to differentiate between different bone-healing conditions.
The proposed sensor presents a reliable objective technique to assess bone-healing progress and help decide on the removal time of the fixation device.
在创伤性骨折病例中实现更好的手术效果,需要在愈合过程中对组织和骨骼的生长及力学性能变化进行术后监测。虽然当前的体内成像技术可以提供骨生长程度的快照,但它无法提供愈合过程的历史记录,而这在需要进行任何矫正手术时是很重要的。使用现有技术监测体内机械负荷随时间的变化是一项挑战,因为在保持患者活动能力和舒适度的同时需要持续供电。
本文研究了使用我们先前报道的压电浮栅(PFG)传感器对骨愈合过程进行自供电监测的可行性。这些传感器直接与固定装置集成,并通过从固定结构中的微观应变变化收集能量来运行。
我们表明,这些传感器可以记录和存储愈合过程中应变演变的统计数据,以供离线检索和分析。此外,我们展示了使用包含股骨骨折固定板的生物力学模型的测量结果;通过在骨折间隙内插入不同材料(弹性模量逐渐增加)来模拟骨愈合。
PFG传感器可以有效地感测、计算并记录在骨骼典型愈合期内不断演变的机械负荷统计数据,这些统计数据可用于区分不同的骨愈合情况。
所提出的传感器提供了一种可靠的客观技术,用于评估骨愈合进展并帮助确定固定装置的拆除时间。