Adaptive Thermal Management of Implantable Device
Adaptive Thermal Management of Implantable Device
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DOI：
10.1109/jsen.2018.2879427
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发表时间：
2019-02
影响因子：
4.3
通讯作者：
Ruizhi Chai;Ying Zhang
中科院分区：
文献类型：
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作者：
Ruizhi Chai;Ying Zhang
随着神经假体功能的不断增强，假体周围组织的温度升高引起了越来越多的关注。在本文中，实时自适应热管理方法的开发植入式设备，以优化其操作，同时保持一个安全的工作温度。该方法采用简化的热模型支持实时控制和更新的模型参数在线使用建议的递归多步预测误差最小化方法。利用仿真研究对所开发的热管理方法的性能进行了评估，结果表明，它可以在保持安全工作温度的同时实现更长的操作时间和更好的整体性能。此外，开发的热模型进行了验证，使用COMSOL模拟和体外实验。
The temperature increase in the surrounding tissue caused by the operation of neural prosthesis has raised growing concern as the device becomes more powerful. In this paper, a real-time adaptive thermal management method is developed for implantable devices to optimize their operation while maintaining a safe operating temperature. The method adopts a simplified thermal model for supporting real-time control and updates the model parameters online using a proposed recursive multi-step prediction error minimization method. The performance of the developed thermal management method is evaluated using simulation studies, and the results show that it can achieve longer operation time and better overall performance while maintaining the safe operating temperature. In addition, the developed thermal model is validated using both the COMSOL simulation and an in vitro experiment.