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High-Throughput Analysis of Optical Mapping Data Using ElectroMap

High-Throughput Analysis of Optical Mapping Data Using ElectroMap

Published on: June 4, 2019

使用普尔金耶反射和机器学习进行动态适应测量.

Faik Ozan Ozhan¹, Ugur Aygun¹, Afsun Sahin^2,3

¹Department of Electrical and Electronics Engineering, Koç University, 34450, Istanbul, Turkey.

Scientific reports

|December 7, 2023

概括

此摘要是机器生成的。

这项研究介绍了一种简单的实时眼睛跟踪系统,使用Purkinje反射. 该方法准确地测量了目光和适应,这对于诊断眼睛疾病和改善AR/VR显示器至关重要.

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Published on: December 22, 2023

High-Resolution Endocardial and Epicardial Optical Mapping in a Sheep Model of Stretch-Induced Atrial Fibrillation

High-Resolution Endocardial and Epicardial Optical Mapping in a Sheep Model of Stretch-Induced Atrial Fibrillation

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科学领域:

眼科和视觉科学眼科和视觉科学
生物医学工程生物医学工程
计算机视觉计算机视觉

背景情况:

精确量化眼睛运动和焦点 (适应) 对于诊断神经和眼部疾病至关重要.
目前用于动态注视跟踪和适应测量的方法可能很复杂或缺乏实时能力.
增强现实 (AR) 和虚拟现实 (VR) 的应用需要精确的实时眼睛跟踪解决方案.

研究的目的:

开发一种简单的实时系统,用于动态视线跟踪和适应测量.
用眼睛模型和实验数据验证系统的准确性.
评估使用Purkinje反射与机器学习用于精确预测眼睛运动的有效性.

主要方法:

设计了一个新的,简单的设置,用于实时动态凝视跟踪和住宿测量.
来自眼睛的光表面 (角膜和透镜) 的普尔金耶反射被用作测量的基础.
在ZEMAX中,一个精确的眼睛模型模拟了Purkinje反射位置,并与实验数据进行了验证.
通过训练一个神经网络,使用9个受试者的数据同时预测接和适应.

主要成果:

泽马克斯眼睛模型模拟与普尔金耶反射位置的实验数据密切匹配.
神经网络利用普尔金耶反射坐标,实现了精确的同时预测接和适应.
适应性得到了高准确度的预测:在两点校准下,比0.22 D (特定对象) 和0.40 D (跨对象) 更好.

结论:

开发的系统提供了一种简单而有效的实时动态凝视跟踪和住宿测量的方法.
整合Purkinje反射坐标与机器学习提供了一个强大的方法,用于精确的眼睛跟踪估计.
这项技术在推进眼睛和神经疾病的诊断工具以及提高AR/VR显示器性能方面具有重大潜力.