Automatic Clinical Assessment of Swallowing Behavior and Diagnosis of Silent Aspiration Using Wireless Multimodal Wearable Electronics

Abstract Dysphagia is more common in conditions such as stroke, Parkinson's disease, and head and neck cancer. This can lead to pneumonia, choking, malnutrition, and dehydration. Currently, the diagnostic gold standard uses radiologic imaging, the videofluoroscopic swallow study (VFSS); however, it...

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Päätekijät:	Beomjune Shin, Sung Hoon Lee, Kangkyu Kwon, Yoon Jae Lee, Nikita Crispe, So‐Young Ahn, Sandeep Shelly, Nathaniel Sundholm, Andrew Tkaczuk, Min‐Kyung Yeo, Hyojung J. Choo, Woon‐Hong Yeo
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Wiley 2024-09-01
Sarja:	Advanced Science
Aiheet:	dysphagia kirigami structure machine learning silent aspiration swallowing disorder wearable electronics
Linkit:	https://doi.org/10.1002/advs.202404211
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