Approach to Quantify Eye Movements to Augment Stroke Diagnosis With a Non-Calibrated Eye-Tracker-Reference-Cited by-同舟云学术

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Approach to Quantify Eye Movements to Augment Stroke Diagnosis With a Non-Calibrated Eye-Tracker

Published:2022 Issue: Volume: Page:1-9
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Hassan Mohamed Abul¹^ORCID,Aldridge Chad M.²^ORCID,Zhuang Yan¹^ORCID,Yin Xuwang¹,McMurry Timothy³,Rohde Gustavo K.¹,Southerland Andrew M.²^ORCID

Affiliation:

1. Imaging and Data Science Lab,Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA

2. Department of Neurology, University of Virginia, Charlottesville, VA, USA

3. Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/4359967/09971722.pdf?arnumber=9971722

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Digital Camera-Based Eye Movement Assessment Method for NeuroEye Examination;IEEE Journal of Biomedical and Health Informatics;2024-02

2. Netravaad: Interactive Eye Based Communication System for People With Speech Issues;IEEE Access;2024

3. Simple Wearable Eye Tracker With Mini-Infrared Point Sensors;IEEE Access;2024

4. Eye Movement Recognition: Exploring Trade-Offs in Deep Learning Approaches with Development;Communications in Computer and Information Science;2024

5. Artificial intelligence in emergency medicine. A systematic literature review;International Journal of Medical Informatics;2023-12

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