Classification of healthy and abnormal swallows based on accelerometry and nasal airflow signals

This exploratory study confirms that dual-axis accelerometry and nasal airflow signals can be used to discriminate healthy and abnormal swallows from patients with dysphagia. The fact that features from all signal channels contributed discriminatory information suggests that multi-sensor fusion is promising in abnormal swallow detection.

from Artificial Intelligence in Medicine

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About Callier Library

Housed at the internationally renowned Callier Center for Communication Disorders, Callier Library a branch facility of the McDermott Library at The University of Texas at Dallas.

Posted on May 9, 2011, in Research and tagged , , , , , . Bookmark the permalink. Leave a comment.

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