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迈向用于言语治疗中舌运动三维跟踪的磁定位系统。

Towards a magnetic localization system for 3-D tracking of tongue movements in speech-language therapy.

作者信息

Cheng Chihwen, Huo Xueliang, Ghovanloo Maysam

机构信息

GT-Bionics Lab School of Electrical and Computer Engineering at Georgia Institute of Technology, Atlanta, GA, 30308, USA.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:563-6. doi: 10.1109/IEMBS.2009.5334058.

DOI:10.1109/IEMBS.2009.5334058
PMID:19964478
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4470905/
Abstract

This paper presents a new magnetic localization system based on a compact triangular sensor setup and three different optimization algorithms, intended for tracking tongue motion in the 3-D oral space. A small permanent magnet, secured on the tongue by tissue adhesives, will be used as a tracer. The magnetic field variations due to tongue motion are detected by a 3-D magneto-inductive sensor array outside the mouth and wirelessly transmitted to a computer. The position and rotation angles of the tracer are reconstructed based on sensor outputs and magnetic dipole equation using DIRECT, Powell, and Nelder-Mead optimization algorithms. Localization accuracy and processing time of the three algorithms are compared using one data set collected in which source-sensor distance was changed from 40 to 150 mm. Powell algorithm showed the best performance with 0.92 mm accuracy in position and 0.7(o) in orientation. The average processing time was 43.9 ms/sample, which can satisfy real time tracking up to approximately 20 Hz.

摘要

本文提出了一种基于紧凑三角形传感器设置和三种不同优化算法的新型磁定位系统,旨在跟踪三维口腔空间中的舌头运动。通过组织粘合剂固定在舌头上的小型永磁体将用作示踪剂。口腔外部的三维磁感应传感器阵列检测由于舌头运动引起的磁场变化,并将其无线传输到计算机。使用DIRECT、Powell和Nelder-Mead优化算法,基于传感器输出和磁偶极方程重建示踪剂的位置和旋转角度。使用收集的一个数据集比较三种算法的定位精度和处理时间,其中源传感器距离从40毫米变化到150毫米。Powell算法表现最佳,位置精度为0.92毫米,方向精度为0.7°。平均处理时间为43.9毫秒/样本,这可以满足高达约20赫兹的实时跟踪。

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本文引用的文献

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A quadratic particle swarm optimization method for magnetic tracking of tongue motion in speech disorders.一种用于言语障碍中舌运动磁跟踪的二次粒子群优化方法。
Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:4222-5. doi: 10.1109/IEMBS.2008.4650141.
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IEEE Trans Neural Syst Rehabil Eng. 2008 Oct;16(5):497-504. doi: 10.1109/TNSRE.2008.2003375.
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