detalle del documento
IDENTIFICACIÓN
oai:HAL:hal-04178781v1
Tema
Hypomimia Early Parkinson's Disease Facial Action Units XGBoost [INFO.INFO-CV]Computer Science [cs... [SDV.IB.IMA]Life Sciences [q-bio]/... [SDV.NEU]Life Sciences [q-bio]/Neu...Autor
Filali, Anas Jeancolas, Laetitia Mangone, Graziella Sambin, Sara Chalançon, Alizé Gomes, Manon Lehéricy, Stéphane Corvol, Jean-Christophe Vidailhet, Marie Arnulf, Isabelle El-Yacoubi, Mounim, A El Yacoubi, Mounim Petrovska-Delacrétaz, DijanaLangue
enEditor
HAL CCSD
Categoría
CNRS - Centre national de la recherche scientifique
Año
2023
fecha de cotización
15/12/2023
Palabras clave
aus based action parkinson disease pdResumen
International audience; Background: Hypomimia is a symptom of Parkinson's disease (PD), characterized by a decrease in facial movements and loss of face emotional expressions.
This study aims to detect hypomimia in participants with early-stage PD based on facial action units (AUs).
Methods: A total of 299 video recordings were included, consisting of 208 PD subjects and 91 healthy controls (HC), asked to perform fast syllable repetitions.
To distinguish typical facial muscle movements from PD subjects associated with hypomimia, we compute the AUs derivatives.
Global features were extracted based on the AUs intensities and their derivatives, and XGBoost was used to classify PD vs. HC.Results: We obtain classification scores up to 73.00% in terms of balanced accuracy (BA) and an area under the curve (AUC) of 78.38% at video visit level.
These results are promising for detecting hypomimia at an early stage of PD, and this work could potentially allow for continuous monitoring of hypomimia outside of hospitals through telemedicine.
Filali, Anas,Jeancolas, Laetitia,Mangone, Graziella,Sambin, Sara,Chalançon, Alizé,Gomes, Manon,Lehéricy, Stéphane,Corvol, Jean-Christophe,Vidailhet, Marie,Arnulf, Isabelle,El-Yacoubi, Mounim, A,El Yacoubi, Mounim,Petrovska-Delacrétaz, Dijana, 2023, Early-stage parkinson's disease detection based on action unit derivatives, HAL CCSD
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