Monitoring of Postoperative Bone Healing Using Smart Trauma-Fixation Device With Integrated Self-Powered Piezo-Floating-Gate Sensors
Monitoring of Postoperative Bone Healing Using Smart Trauma-Fixation Device With Integrated Self-Powered Piezo-Floating-Gate Sensors
复制标题
DOI：
10.1109/tbme.2015.2496237
复制
发表时间：
2016-07-01
影响因子：
4.6
通讯作者：
Chakrabartty, Shantanu
中科院分区：
文献类型：
--
作者：
Borchani, Wassim;Aono, Kenji;Chakrabartty, Shantanu
目的：在创伤性骨折的情况下实现更好的手术结果需要在愈合过程中对组织和骨骼的生长和机械特性的变化进行术后监测。虽然目前的体内成像技术可以提供骨骼生长程度的快照，但它无法提供愈合过程的历史，如果需要任何矫正手术，这是很重要的。使用现有技术监测体内机械载荷的时间演变是一项挑战，因为需要在保持患者移动性和舒适性的同时持续供电。研究方法：本文探讨了自供电监测的骨愈合过程中，使用我们以前报道的压电浮栅（PFG）传感器的可行性。传感器直接与固定装置集成，并通过从固定结构中的微尺度应变变化中收集能量来操作。结果如下：我们表明，传感器可以记录和存储的统计数据的应变演变过程中的愈合离线检索和分析。此外，我们目前的测量结果使用的生物力学模型包括股骨骨折固定板;骨愈合模拟插入不同的材料，逐渐增加的弹性模量，骨折间隙内。结论：PFG传感器可以有效地感测、计算和记录在骨的典型愈合期内的机械载荷的连续演变的统计数据，并且该统计数据可以用于区分不同的骨愈合状况。意义：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决定固定器械的取出时间。
Objective: 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. Methods: 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. Results: 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. Conclusion: 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. Significance: The proposed sensor presents a reliable objective technique to assess bone-healing progress and help decide on the removal time of the fixation device.