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abstract

Automatic quick-phase detection in bedside recordings from patients with acute dizziness and nystagmus

Published: 25 June 2019 Publication History

Abstract

Benign Paroxysmal Positional Vertigo (BPPV) is the most common cause of vertigo. It can be diagnosed and treated with simple maneuvers done by vestibular experts. However, there is a high rate of misdiagnosis that results in high medical costs from unnecessary neuroimaging tests. Here we show how to improve saccade detection methods for automatic detection of quick-phases of nystagmus, a key sign of BPPV. We test our method using eye movement data recorded in patients during the diagnostic maneuver.

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Cited By

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  • (2024)A Digital Camera-Based Eye Movement Assessment Method for NeuroEye ExaminationIEEE Journal of Biomedical and Health Informatics10.1109/JBHI.2023.328594028:2(655-665)Online publication date: Feb-2024
  • (2023)Approach to Quantify Eye Movements to Augment Stroke Diagnosis With a Non-Calibrated Eye-TrackerIEEE Transactions on Biomedical Engineering10.1109/TBME.2022.322701570:6(1750-1757)Online publication date: Jun-2023
  • (2022)aEYE: A deep learning system for video nystagmus detectionFrontiers in Neurology10.3389/fneur.2022.96396813Online publication date: 11-Aug-2022

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cover image ACM Conferences
ETRA '19: Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications
June 2019
623 pages
ISBN:9781450367097
DOI:10.1145/3314111
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Publication History

Published: 25 June 2019

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Author Tags

  1. BPPV
  2. benign vestibulopathies
  3. saccade detection
  4. vertigo

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Cited By

View all
  • (2024)A Digital Camera-Based Eye Movement Assessment Method for NeuroEye ExaminationIEEE Journal of Biomedical and Health Informatics10.1109/JBHI.2023.328594028:2(655-665)Online publication date: Feb-2024
  • (2023)Approach to Quantify Eye Movements to Augment Stroke Diagnosis With a Non-Calibrated Eye-TrackerIEEE Transactions on Biomedical Engineering10.1109/TBME.2022.322701570:6(1750-1757)Online publication date: Jun-2023
  • (2022)aEYE: A deep learning system for video nystagmus detectionFrontiers in Neurology10.3389/fneur.2022.96396813Online publication date: 11-Aug-2022

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