Title: A decision support tool development: an analysis of the statistical significance of the dichotic listening of speech test results

Authors: Elena A. Popova; Evgeny L. Wasserman; Nikolay K. Kartashev

Addresses: Laboratory of Biomedical Informatics, St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, St. Petersburg, Russia ' Laboratory of Biomedical Informatics, St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, St. Petersburg, Russia; Department of Healthcare Management and Medical Law, St. Petersburg State University, St. Petersburg, Russia; Department of Principles of Special Education, Herzen State Pedagogical University of Russia, St. Petersburg, Russia ' Laboratory of Biomedical Informatics, St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, St. Petersburg, Russia

Abstract: In this study, we analyse the statistical significance of the dichotic listening test results using two methods. The first method is based on the Agresti-Coull interval, and the other one is based on the sequential Wald analysis. We also propose a way to estimate the guaranteed boundaries for the eventual laterality index at every step of the dichotic listening test using the random walk method. This work is based on the analysis of 87 dichotic listening protocols of 59 children and adolescents of 4-16 years of age (patients of children's psychoneurological clinic) and three healthy adult volunteers. The dichotic listening was carried out in the clinical and laboratory conditions.

Keywords: dichotic listening; speech; laterality index; random walk; lateralisation; sequential Wald analysis; Agresti-Coull interval; decision support tool; statistical significance.

DOI: 10.1504/IJMEI.2020.106902

International Journal of Medical Engineering and Informatics, 2020 Vol.12 No.2, pp.194 - 205

Received: 02 Feb 2018
Accepted: 11 Sep 2018
Published online: 27 Apr 2020 *

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