Article ID Journal Published Year Pages File Type
377857 Artificial Intelligence in Medicine 2011 9 Pages PDF
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
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