Grants and Contributions:

Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019).

Clearwater Clinicals ShoeBOX product enables audiometry testing to be completed in the field and outside of the sound booth. Itx000D
has already been widely adopted, including monitoring hearing in the context of occupational health and safety in industrialx000D
settings. Once a subjects hearing sensitivity has been quantified at various frequencies, the next step is to classify the audiogramx000D
in order to characterize any detected hearing loss. Classifications such as flat, sloping, rising and notched are further specified asx000D
being symmetric/asymmetric, the site of lesion, and the overall severity of hearing loss. Automating such audiogram classificationx000D
is the first step towards a fully automated testing and diagnostic audiology system. This project will leverage machine learning andx000D
signal processing techniques to create data-driven automated and semi-automated audiogram classification systems, suitable forx000D
deployment as part of the ShoeBOX system. Thanks to ShoeBOXs wide deployment, Clearwater Clinical now possesses a largex000D
dataset of unclassified audiograms. A rapid audiogram annotation system will be developed such that expert audiologists canx000D
classify these audiograms. This rich gold standard dataset will be mined to develop an intelligent automated classification systemx000D
using methods from machine learning including rule extraction and others. A semi-automated classification system will also bex000D
developed, where users are able to view the recommended classification and make rapid adjustments based on their ownx000D
expertise and additional contextual information. Final deliverables will include working software prototypes of the audiogramx000D
annotation environment, semi- and fully-automated classification systems, as well as technical documentation detailing theirx000D
development and evaluation.x000D
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Ontario