Work

Tracking Hyoid Bone Displacement During Swallowing Without Videofluoroscopy Using Machine Learning of Vibratory Signals

Year: 2020

Type: article

Source: Dysphagia

DOI: 10.1007/s00455-020-10124-z

Authors: Cara Donohue, Shitong Mao, Ervin Sejdić, James L. Coyle

Institution: University of Pittsburgh

Language: English

Topic: Dysphagia Assessment and Management

Subfield: Speech and Hearing

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institute of Child Health and Human Development, Eunice Kennedy Shriver National Institute of Child Health and Human Development

Awards: The Aspirometer: A noninvasive tool to detect swallowing safety and efficiency, Instrumental screening for dysphagia by combining high-resolution cervical auscultation with advanced data analysis tools to identify silent dysphagia and silent aspiration

OpenAlex ID: W3024461332

FWCI: 9.948

Cites: 40

Cited by: 45

Related to: 10