Work

A comparative analysis of DBSCAN, K-means, and quadratic variation algorithms for automatic identification of swallows from swallowing accelerometry signals

Year: 2015

Type: article

Source: Computers in Biology and Medicine

DOI: 10.1016/j.compbiomed.2015.01.007

Authors: Joshua M. Dudik, Atsuko Kurosu, James L. Coyle, Ervin Sejdić

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

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

Award: The Aspirometer: A noninvasive tool to detect swallowing safety and efficiency

OpenAlex ID: W1970891614

FWCI: 10.93

Cites: 61

Cited by: 75

Related to: 10