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

Sai Akanksha Punuganti, Jing Tian, Jorge Otero-Millan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationProceedings - ETRA 2019
Subtitle of host publication2019 ACM Symposium On Eye Tracking Research and Applications
EditorsStephen N. Spencer
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450367097
DOIs
StatePublished - Jun 25 2019
Event11th ACM Symposium on Eye Tracking Research and Applications, ETRA 2019 - Denver, United States
Duration: Jun 25 2019Jun 28 2019

Publication series

NameEye Tracking Research and Applications Symposium (ETRA)

Conference

Conference11th ACM Symposium on Eye Tracking Research and Applications, ETRA 2019
CountryUnited States
CityDenver
Period6/25/196/28/19

Fingerprint

Eye movements
Dizziness
Saccades
Vertigo
Eye Movements
Diagnostic Errors
Neuroimaging
Costs and Cost Analysis
Benign Paroxysmal Positional Vertigo
Costs

Keywords

  • Benign Vestibulopathies
  • BPPV
  • Saccade Detection
  • Vertigo

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Ophthalmology
  • Sensory Systems

Cite this

Punuganti, S. A., Tian, J., & Otero-Millan, J. (2019). Automatic quick-phase detection in bedside recordings from patients with acute dizziness and nystagmus. In S. N. Spencer (Ed.), Proceedings - ETRA 2019: 2019 ACM Symposium On Eye Tracking Research and Applications [a54] (Eye Tracking Research and Applications Symposium (ETRA)). Association for Computing Machinery. https://doi.org/10.1145/3314111.3322873

Automatic quick-phase detection in bedside recordings from patients with acute dizziness and nystagmus. / Punuganti, Sai Akanksha; Tian, Jing; Otero-Millan, Jorge.

Proceedings - ETRA 2019: 2019 ACM Symposium On Eye Tracking Research and Applications. ed. / Stephen N. Spencer. Association for Computing Machinery, 2019. a54 (Eye Tracking Research and Applications Symposium (ETRA)).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Punuganti, SA, Tian, J & Otero-Millan, J 2019, Automatic quick-phase detection in bedside recordings from patients with acute dizziness and nystagmus. in SN Spencer (ed.), Proceedings - ETRA 2019: 2019 ACM Symposium On Eye Tracking Research and Applications., a54, Eye Tracking Research and Applications Symposium (ETRA), Association for Computing Machinery, 11th ACM Symposium on Eye Tracking Research and Applications, ETRA 2019, Denver, United States, 6/25/19. https://doi.org/10.1145/3314111.3322873
Punuganti SA, Tian J, Otero-Millan J. Automatic quick-phase detection in bedside recordings from patients with acute dizziness and nystagmus. In Spencer SN, editor, Proceedings - ETRA 2019: 2019 ACM Symposium On Eye Tracking Research and Applications. Association for Computing Machinery. 2019. a54. (Eye Tracking Research and Applications Symposium (ETRA)). https://doi.org/10.1145/3314111.3322873
Punuganti, Sai Akanksha ; Tian, Jing ; Otero-Millan, Jorge. / Automatic quick-phase detection in bedside recordings from patients with acute dizziness and nystagmus. Proceedings - ETRA 2019: 2019 ACM Symposium On Eye Tracking Research and Applications. editor / Stephen N. Spencer. Association for Computing Machinery, 2019. (Eye Tracking Research and Applications Symposium (ETRA)).
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