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Modelling Audiograms for People with Dementia Who Experience Hearing Loss Using Multiple Linear Regression Method

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper presents a mathematical model of audiogram by using multiple regression polynomial. The mathematical model will be used to represent audiograms of individuals with dementia who experience hearing loss. The mathematical model will help in designing an optimum hearing aid for the people with dementia. Research studies state that there is association between hearing loss and dementia. In addition, researches show that individuals who experience hearing loss can develop dementia or it can worsen their case. World health organizations recognize dementia as public health priority. In research, hearing aid designs are always being tested based on matching standard set of audiograms and some designs are tested using mild to moderate hearing loss audiogram only. In this paper, the authors introduce a mathematical model to represent the measured audiograms for the cohort of the study. This model is developed based on measured data for seven subjects' experiencing hearing problems and suffering from dementia. Multiple linear regression is used to find the polynomial that represent the measured data based on minimizing the difference between the measured data and the obtained polynomial. SPSS is used to simulate the data and calculate the required regression polynomial coefficients for both ears hearing levels.

Original languageEnglish
Title of host publication2020 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI)
PublisherIEEE
ISBN (Electronic)9781728173153
DOIs
Publication statusPublished - 18 Nov 2020
Event2020 IEEE International Conference on Communications, Computing, Cybersecurity, and Informatics - Sharjah, United Arab Emirates
Duration: 3 Nov 2020 → 5 Nov 2020

Conference

Conference2020 IEEE International Conference on Communications, Computing, Cybersecurity, and Informatics
Abbreviated titleCCCI 2020
Country/TerritoryUnited Arab Emirates
CitySharjah
Period3/11/20 → 5/11/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Audiogram
  • dementia
  • hearing loss
  • mathematical modelling
  • multiple regression

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality

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