Original title: Identification Of Patients At The Risk Of Lewy Body Diseases Based On Acoustic Analysis Of Speech
Authors: FernándezMartínez, Andrea
Document type: Papers
Language: eng
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract: Lewy body diseases (LBDs) is a group of neurodegenerative diseases that consists of Parkinson’s disease and dementia with Lewy bodies, that are generally very crucial to be diagnosed in their prodromal state. In the frame of this study we proposed a multivariate logistic regression model that identifies people in a high risk of LBDs based on their articulatory and prosodic characteristics. More specifically, the model has 80 % specificity and 85 % sensitivity based on quantification of rigidity of tongue/jaw, monoloudness, and inappropriate pausing.
Keywords: acoustic analysis; dementia with Lewy bodies; Lewy body diseases; Parkinson’s disease; prodromal diagnosis; speech; voice
Host item entry: Proceedings of the 25st Conference STUDENT EEICT 2019, ISBN 978-80-214-5735-5

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/186615

Permalink: http://www.nusl.cz/ntk/nusl-414517


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