Machine learning analysis to automatically measure response time of pharyngeal swallowing reflex in...
Machine learning analysis to automatically measure response time of pharyngeal swallowing reflex in videofluoroscopic swallowing study
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Publisher
London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Scope and Contents
Contents
To evaluate clinical features and determine rehabilitation strategies of dysphagia, it is crucial to measure the exact response time of the pharyngeal swallowing reflex in a videofluoroscopic swallowing study (VFSS). However, measuring the response time of the pharyngeal swallowing reflex is labor-intensive and particularly for inexperienced clinic...
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Full title
Machine learning analysis to automatically measure response time of pharyngeal swallowing reflex in videofluoroscopic swallowing study
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7477563
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7477563
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-020-71713-4
