CC BY-NC-ND 4.0 · Laryngorhinootologie 2021; 100(S 02): S235
DOI: 10.1055/s-0041-1728487
Abstracts
Otology / Neurotology / Audiology

Update VertiGo - continuation of the VNG via mobile webcam

S Reinhardt
1   Universitätsklinikum Düsseldorf, Klinik für Hals-Nasen-Ohrenheilkunde, Düsseldorf
,
J Schmidt
2   Heinrich-Heine-Universität Düsseldorf, Institut für Informatik, Lehrstuhl Softwaretechnik und Programmiersprachen, Düsseldorf
,
M Leuschel
2   Heinrich-Heine-Universität Düsseldorf, Institut für Informatik, Lehrstuhl Softwaretechnik und Programmiersprachen, Düsseldorf
,
C Schüle
1   Universitätsklinikum Düsseldorf, Klinik für Hals-Nasen-Ohrenheilkunde, Düsseldorf
,
J Schipper
1   Universitätsklinikum Düsseldorf, Klinik für Hals-Nasen-Ohrenheilkunde, Düsseldorf
› Author Affiliations
 

Background Dizziness is one of the most common symptoms in medicine and its diagnosis is complex. Nationalwide this diagnostic is not always available in Germany. In order to improve this, a preliminary study has already shown that horizontal video nystagmography (VNG) is possible using a mobile webcam. The aim of this study was whether the nystagmus detection can be increased with an additional light source.

Methods In the continued feasibility study, 20 healthy volunteers participated in a bilateral caloric test and VNG using a mobile webcam. The probands gazed into an external light source close to the camera during the recording. The recording was analyzed with a software developed using computer vision techniques. An algorithm detected a sequence of horizontal pupil positions. The software differentiated between the presence or absence of nystagmus using a threshold of at least two nystagmus in the same direction. The subjective perception of dizziness was assessed using a visuel analog scale (VAS).

Results When considering above threshold, an accuracy of 49.15 % , a positive predictive value of 84.61 %  and a sensitivity of 28.20 %  were achieved. In the preliminary study without an additional light source an accuracy of 39.66 % , a positive predictive value of 70 %  and a sensitivity of 17.95 %  were detected. All subjects reported symptoms of dizziness with an average VAS of 2.9.

Summary In the present study, the nystagmus detection could be improved slightly compared to the previous study. Further adjustments and tests of the software are necessary in the future in order to increase its accuracy.

Poster-PDF A-1407.pdf



Publication History

Article published online:
13 May 2021

© 2021. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).

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