Audiogram Digitization Tool for Audiological Reports

نویسندگان

چکیده

Multiple private and public insurers compensate workers whose hearing loss can be directly attributed to excessive exposure noise in the workplace. The claim assessment process is typically lengthy requires significant effort from human adjudicators who must interpret hand-recorded audiograms, often sent via fax or equivalent. In this work, we present a solution developed partnership with Workplace Safety Insurance Board of Ontario streamline adjudication process. We flexible open-source audiogram digitization algorithm capable automatically extracting thresholds scanned faxed audiology report as proof-of-concept. extracts most within 5 dB accuracy, allowing substantially lessen time required convert an into digital format semi-supervised fashion, first step towards automation source code for desktop-based implementation our NIHL annotation portal publicly available on GitHub https://github.com/GreenCUBIC/AudiogramDigitization .

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ژورنال

عنوان ژورنال: IEEE Access

سال: 2022

ISSN: ['2169-3536']

DOI: https://doi.org/10.1109/access.2022.3215972