Cost-Efficient Real-Time Adaptive Location Tracking With Interacting Multiple Transition Model for Implantable Medical Device
Cost-Efficient Real-Time Adaptive Location Tracking With Interacting Multiple Transition Model for Implantable Medical Device
复制标题
DOI：
10.1109/jerm.2022.3221068
复制
发表时间：
2023-06
影响因子：
--
通讯作者：
Daria Dmitrieva;D. Anzai;J. Kirchner;Georg Fischer;Jianqing Wang
中科院分区：
文献类型：
--
作者：
Daria Dmitrieva;D. Anzai;J. Kirchner;Georg Fischer;Jianqing Wang
与诸如无线胶囊内窥镜（WCE）的可植入医疗设备相关的主要任务之一是对在人体内移动的胶囊的位置跟踪。为了提高真实的情况下的定位精度，应当适当考虑描述胶囊在体内运动的过渡模型，其中轨迹段由不同的运动模型组成。在本文中，除了传统的随机路点模型，我们构建了一个相互作用的多模型（IMM），这是一个组合的两个不同的运动来代表合适的WCE运动。在此基础上，提出了一种结合扩展卡尔曼和粒子滤波的WCE定位方法，实现了WCE的精确实时定位跟踪。与传统的跟踪方法相比，所提出的跟踪定位方法与IMM过渡模型获得了30$\%$的估计精度和98$\%$的计算成本降低。
One of the main tasks connected with implantable medical devices, such as wireless capsule endoscope (WCE) is location tracking of a capsule moving inside a human body. To improve the localization accuracy in a real situation, a transition model to describe the capsule movement inside the body should be appropriately considered, where the trajectory segments are composed of different movement models. In this paper, in addition to the conventional random way point model, we constructed an interacting multiple model (IMM), which is a combination of two different movements to represent suitable WCE movement. Then, we proposed a combined extended Kalman and particle filter method with respect to the balance between the accuracy and computational cost for realizing precise real-time WCE location tracking. Compared with conventional tracking methods, the proposed tracking location method with the IMM transition model achieved 30$\%$ better estimation accuracy and 98$\%$ lower computational cost.