Back to Results
First PageMeta Content
Swallowing / Dysphagia / Segmentation / Pitch detection algorithm / Health / Biology / Medicine / Image processing / Oropharyngeal dysphagia


Vocalization removal for improved automatic segmentation of dual-axis swallowing accelerometry signals
Add to Reading List

Document Date: 2014-10-24 20:48:40

Open Document

File Size: 551,99 KB

Share Result on Facebook

City

Amsterdam / Toronto / San Diego / /

Company

Neural Systems / Elsevier Ltd. / Analog Devices / /

Country

United States / Netherlands / Canada / /

/

Facility

Institute of Biomaterials / University of Toronto / Toronto Rehabilitation Institute / Canada Toronto Rehabilitation Institute / /

IndustryTerm

subsequent data processing / Experimental protocol / on-line swallow detection / conventional speech processing tool / automatic segmentation algorithm / real time / segmentation algorithm / conventional speech processing techniques / Pitch tracking algorithms / speech processing community / experimental protocols / detected using conventional speech processing techniques / /

Organization

University of Toronto / Toronto / Institute of Biomaterials and Biomedical Engineering / Department of Speech-Language Pathology / Canada Toronto Rehabilitation Institute / Bloorview Research Institute / /

Person

Van Hirtum / Catriona M. Steele / Tom Chau / Ervin Sejdic / /

/

Position

factors affecting forward / Corresponding author / /

ProgrammingLanguage

MATLAB / LabVIEW / C / /

ProvinceOrState

Ontario / /

Technology

RAM / Biomaterials / Pitch tracking algorithms / proposed algorithm / research protocol / segmentation algorithm / fuzzy logic / laptop computer / automatic segmentation algorithm / RAPT algorithm / experimental protocols / /

URL

www.elsevier.com/locate/medengphy / /

SocialTag