Using Machine Learning and a Combination of Respiratory Flow, Laryngeal Motion, and Swallowing Sounds to Classify Safe and Unsafe Swallowing.

Journal: IEEE transactions on bio-medical engineering

PMID: 29993526

Abstract

OBJECTIVE: The aim of this research was to develop a swallowing assessment method to help prevent aspiration pneumonia. The method uses simple sensors to monitor swallowing function during an individual's daily life.

Authors

Katsufumi Inoue
Michifumi Yoshioka
Naomi Yagi
Shinsuke Nagami
Yoshitaka Oku

Keywords

Adult Aged Aged, 80 and over Deglutition Deglutition Disorders Female Humans Larynx Machine Learning Male Middle Aged Monitoring, Physiologic Respiration Signal Processing, Computer-Assisted Young Adult

External Resources

View on PubMed Access via DOI PubMed (29993526)

Using Machine Learning and a Combination of Respiratory Flow, Laryngeal Motion, and Swallowing Sounds to Classify Safe and Unsafe Swallowing.

Abstract

Authors

Keywords

External Resources

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