首页> 外文会议>2018 IEEE International Conference on Soft Robotics >Development of an adaptable, soft robot with an aortic diameter sensor to modulate blood flow in an extreme biological environment
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Development of an adaptable, soft robot with an aortic diameter sensor to modulate blood flow in an extreme biological environment

机译:具有主动脉直径传感器的适应性柔软机器人的开发,可在极端生物环境中调节血流

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Background: Resuscitative endovascular balloon occlusion of the aorta (REBOA), is a life saving intervention employed during heavy internal bleeding in the pelvis and abdomen. A balloon is inserted into the aorta to prevent distal blood flow. Aim: To develop a system using soft-technologies that permits adaptive interactions in an unpredictable biological environment. A system that acts as a diameter sensor and flow modulation device for catheter based application that can safely interact with humans. Methods: We hypothesized that the internal pressure of the balloon would rise as it presses against the aortic lumen, thus providing a surrogate marker for diameter. The device constructed measures balloon pressure via a tee junction at the syringe catheter interface. Repeat measurements (ten) for tubes of diameters, 10, 8, 7, 6 and 5 mm were obtained giving 50 sets of data. A neural network was created and trained. Unseen data was used to test the network. Blood flow modulation was achieved via a tendon deformable balloon. Deformability was achieved by gluing strings on the internal surface of the balloon. Results: The diameter sensor showed that pressure peaks were higher in smaller tubes with 7 mm showing a peak at 10.9 PSI, 8 mm showing a peak at 9.7 PSI and 10 mm showing a peak at 8 PSI. The peaks also occurred earlier at 8200, 8600, 8800 ms for 7, 8 and 10 mm respectively. The 5 and 6 mm diameter tubes had higher pressures when compared to the rest of the data for their respective times. The trained neural network made very accurate predictions of the diameter using the test sets with a RMSE of 0.022 (0.22 mm). Flow modulation was achieved using strings that pinched the balloon inwards allowing flow of fluid at that point, distal migration of the balloon was avoided. Conclusion: A portable soft robotic system that accurately measures diameter and allows blood flow modulation was successfully built. The system is simple enough to be incorporated into current catheters with little modification. The first steps towards the development of a bespoke system for haemorrhage control has been demonstrated. Future work will focus on integrating the system with a control loop and testing the system in vivo.
机译:背景:主动脉的复苏性血管内球囊闭塞(REBOA)是一种在骨盆和腹部严重内出血时采用的挽救生命的干预措施。将气囊插入主动脉以防止远端血液流动。目的:开发一种使用软技术的系统,该系统允许在不可预测的生物环境中进行自适应交互。一种系统,用作基于导管的应用的直径传感器和流量调节设备,可以与人类安全交互。方法:我们假设球囊压在主动脉腔上时其内部压力会升高,从而提供了直径的替代标记。该装置构造成通过注射器导管界面处的三通连接来测量球囊压力。对直径为10、8、7、6和5 mm的管子进行了重复测量(十次),得到了50套数据。创建并训练了神经网络。看不见的数据被用来测试网络。通过肌腱可变形球囊实现血流调节。通过在球囊的内表面上胶合细绳来实现可变形性。结果:直径传感器显示,较小的试管中的压力峰较高,其中7 mm在10.9 PSI处出现峰,8 mm在9.7 PSI处出现峰,而10 mm在8 PSI处出现峰。峰值分别出现在8200、8600、8800 ms的7、8和10 mm处。与其余时间的数据相比,直径为5毫米和6毫米的管的压力更高。训练有素的神经网络使用RMSE为0.022(0.22 mm)的测试集对直径进行了非常准确的预测。使用向内捏住球囊以允许流体在该点流动的细绳实现流量调节,避免了球囊向远侧迁移。结论:成功构建了可精确测量直径并允许血液流量调节的便携式软机器人系统。该系统非常简单,几乎无需修改即可整合到当前的导管中。已经证明了开发定制的出血控制系统的第一步。未来的工作将集中于将系统与控制回路集成在一起并在体内进行测试。

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