Assessment of occupational noise induced hearing loss via a smartphone application

Md Shoab Miah, Sabirat Rubya, Md Faisal Kabir

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

    2 Scopus citations

    Abstract

    Exposure to excessive noise for long duration is one of the avoidable occupational health hazards with substantial physiological and social effect. When engineering controls and work practices are not realistic, hearing protectors should be used for reducing sound exposure to safe levels. But accurate assessment of noise induction is necessary before taking any adequate measures. The effects of occupational noise induced hearing loss are higher in the developing regions compared to the developed countries. This is due to lack of prevalent epidemiological data regarding risk factors and costs of NIHL. Hence, in this paper, we have estimated the degree of occupational NIHL among people from different professions via a smartphone application: HearlT. We have addressed five different professions primarily but more extensive deployment of this application can reveal more accurate state of occupational NIHL which can be used to raise awareness among workers about the harmful effects of noise on hearing and other body systems by implementing compulsory education or training programs.

    Original languageEnglish (US)
    Title of host publicationSKIMA 2014 - 8th International Conference on Software, Knowledge, Information Management and Applications
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781479963997
    DOIs
    StatePublished - Apr 8 2014
    Event8th International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2014 - Dhaka, Bangladesh
    Duration: Dec 18 2014Dec 20 2014

    Publication series

    NameSKIMA 2014 - 8th International Conference on Software, Knowledge, Information Management and Applications

    Conference

    Conference8th International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2014
    CountryBangladesh
    CityDhaka
    Period12/18/1412/20/14

    All Science Journal Classification (ASJC) codes

    • Software

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