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分析人体头部运动并为 PET 成像研究进行机器人补偿。

Analysis of Human Head Motion and Robotic Compensation for PET Imaging Studies.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:4836-4839. doi: 10.1109/EMBC46164.2021.9630527.

Abstract

Functional medical imaging systems can provide insights into brain activity during various tasks, but most current imaging systems are bulky devices that are not compatible with many human movements. Our motivating application is to perform Positron Emission Tomography (PET) imaging of subjects during sitting, upright standing and locomotion studies on a treadmill. The proposed long-term solution is to construct a robotic system that can support an imaging system surrounding the subject's head, and then move the system to accommodate natural motion. This paper presents the first steps toward this approach, which are to analyze human head motion, determine initial design parameters for the robotic system, and verify the concept in simulation.

摘要

功能医学成像系统可以提供在各种任务中大脑活动的深入了解,但大多数当前的成像系统都是庞大的设备,不兼容许多人体运动。我们的动机应用是在跑步机上进行坐姿、直立站立和运动研究的正电子发射断层扫描(PET)成像。拟议的长期解决方案是构建一个机器人系统,可以支持一个成像系统围绕着受试者的头部,然后移动系统以适应自然运动。本文介绍了朝着这个方向迈出的第一步,即分析人头运动,确定机器人系统的初始设计参数,并在模拟中验证该概念。

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