Sparse classification of discriminant nystagmus features using combined video-oculography tests and pupil tracking for common vestibular disorder recognition-Reference-Cited by-同舟云学术

Sparse classification of discriminant nystagmus features using combined video-oculography tests and pupil tracking for common vestibular disorder recognition

Published:2020-10-12 Issue:4 Volume:24 Page:400-418
ISSN:1025-5842
Container-title:Computer Methods in Biomechanics and Biomedical Engineering
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering

Author:

Mouelhi Aymen¹^ORCID,Ben Slama Amine²^ORCID,Marrakchi Jihene³^ORCID,Trabelsi Hedi²,Sayadi Mounir¹^ORCID,Labidi Salam²^ORCID

Affiliation:

1. Laboratory of Signal Image and Energy Mastery, LR13ES03 (SIME), University of Tunis, ENSIT, 1008, Tunis, Tunisia

2. Laboratory of Biophysics and Medical Technologies, LR13ES07 (BTM), University of Tunis ELmanar, Higher Institute of Medical Technologies of Tunis (ISTMT), 1006, Tunis, Tunisia

3. Department of Oto-Rhino-laryngology, La Rabta Hospital, Tunis, Tunisia

Publisher

Informa UK Limited

Subject

Computer Science Applications,Human-Computer Interaction,Biomedical Engineering,General Medicine,Bioengineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/10255842.2020.1830972

Reference54 articles.

1. Nonlinear time series analysis of jerk congenital nystagmus

2. Individual semicircular canal function in superior and inferior vestibular neuritis

3. A new neural network method for peripheral vestibular disorder recognition using VNG parameter optimisation

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