Topoplogical Structured Learning for Assessment of Unilateral Spatial Neglect

Topoplogical Structured Learning for Assessment of Unilateral Spatial Neglect
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DOI：
10.1109/cinti-macro57952.2022.10029515
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发表时间：
2022-11
期刊：
2022 IEEE 22nd International Symposium on Computational Intelligence and Informatics and 8th IEEE International Conference on Recent Achievements in Mechatronics, Automation, Computer Science and Robotics (CINTI-MACRo)
影响因子：
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通讯作者：
T. Obo;Noyuki Kubota
T. Obo;Noyuki Kubota
中科院分区：
其他
文献类型：
--
作者：
T. Obo;Noyuki Kubota

文献摘要

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本文提出了一种用于评估单侧空间忽视（USN）的沉浸式虚拟现实（VR）系统。 USN 的定义是一个人无法感知身体一侧或环境的刺激，而这并非由于缺乏感觉。在临床实践中，使用纸笔测试作为快速评估。然而，这些测试的敏感性不足以用于日常生活活动的 USN 评估。因此，VR系统和多模态传感系统已被应用于USN更灵敏的诊断。在本研究中，我们旨在提出一种提取 USN 患者行为和认知水平特定特征的方法。
This paper presents an immersive virtual reality (VR) system for assessment of unilateral spatial neglect (USN). USN is defined by the inability for a person to perceive stimuli on one side of the body or environment that is not due to a lack of sensation. In clinical practice, paper-and-pencil tests are used as the quick assessments. However, the sensitivity of these tests is not sufficient for USN assessment in activities of daily living. Thus, VR systems and multimodal sensing systems have been applied to more sensitive diagnosis for USN. In this study, we aim to propose a method to extract specific features of USN patients in behavioral and cognitive levels.