AUTOMATIC DETECTION OF ASPIRATION-PENETRATION USING SWALLOWING ACCELEROMETRY SIGNALS

A method can use dual-axis accelerometry signals obtained during a swallow to classify the swallow as a normal swallow or as an impaired swallow (e.g., an aspiration-penetration). The method can include representing the dual-axis accelerometry signals as meta-features, comparing the salient time and...

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Bibliographic Details
Main Authors SAMADANI, Ali-Akbar, CHAU, Tom
Format Patent
LanguageEnglish
French
German
Published 03.06.2020
Subjects
DIAGNOSIS
HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
MEDICAL OR VETERINARY SCIENCE
SURGERY
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Summary:A method can use dual-axis accelerometry signals obtained during a swallow to classify the swallow as a normal swallow or as an impaired swallow (e.g., an aspiration-penetration). The method can include representing the dual-axis accelerometry signals as meta-features, comparing the salient time and frequency meta-features, identified by regularized binomial logistic regression with elastic net penalty performed on the time and frequency meta-features in a known training data set, with a preset linear discriminant classifier constructed based on the salient meta-features, and classifying the swallow as a normal swallow or a possibly impaired swallow, based on the comparing. Preferably a processing module operatively connected to the sensor performs the processing of the dual-axis accelerometry signals and also automatically classifies the swallow.
Bibliography:Application Number: EP20180837340