{"componentChunkName":"component---src-templates-blog-post-js","path":"/blog/automated-audiogram-image-recognition-feature-in-phone-innovative-approach-for-personalized-sound-amplification-study/","result":{"data":{"site":{"siteMetadata":{"title":"No Frills News"}},"contentfulNfnPost":{"postTitle":"Automated audiogram image recognition feature in Phone innovative approach for Personalized Sound Amplification: Study","slug":"automated-audiogram-image-recognition-feature-in-phone-innovative-approach-for-personalized-sound-amplification-study","createdLocal":"2023-02-04 14:30:52.466043","publishDate":"2023-02-03 20:00:17+05:30","feedName":"Image Recognition","sourceUrl":{"sourceUrl":"https://medicaldialogues.in/ent/news/automated-audiogram-image-recognition-feature-in-phone-innovative-approach-for-personalized-sound-amplification-study-106457"},"postSummary":{"childMarkdownRemark":{"html":"<p>Users have the option of manually inputting audiogram results or relying on an automated image recognition system that extracts hearing data from an image of the audiogram.\nAir conduction hearing thresholds based on the automated audiogram image recognition were compared with the raw data.\nThe accuracy of the automated audiogram image recognition was 7.0% and 11.8% for right and left ears, respectively.\nThe automated audiogram image recognition feature in the iPhone is an innovative approach to potentially allow for easier importation of audiogram data and customization of sound output for OTC hearing aids.\nOther approaches to customization of OTC hearing aids such as insitu audiometric testing of the user’s hearing should be explored.</p>"}}}},"pageContext":{"slug":"automated-audiogram-image-recognition-feature-in-phone-innovative-approach-for-personalized-sound-amplification-study"}}}