Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
377857 | Artificial Intelligence in Medicine | 2011 | 9 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Joon Lee, Catriona M. Steele, Tom Chau,