Multimodal Capture of Patient Behaviour for Improved Detection of Early Dementia: Clinical Feasibility and Preliminary Results

Multimodal Capture of Patient Behaviour for Improved Detection of Early Dementia: Clinical Feasibility and Preliminary Results

Non-invasive automatic screening for Alzheimer’s disease has the potential to improve diagnostic accuracy while lowering healthcare costs. Previous research has shown that patterns in speech, language, gaze, and drawing can help detect early signs of cognitive decline. In this paper, we describe a h...

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Bibliographic Details
Main Authors: Patrik Jonell, Birger Moëll, Krister Håkansson, Gustav Eje Henter, Taras Kucherenko, Olga Mikheeva, Göran Hagman, Jasper Holleman, Miia Kivipelto, Hedvig Kjellström, Joakim Gustafson, Jonas Beskow
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-04-01
Series:Frontiers in Computer Science
Subjects:
Alzheimer
mild cognitive impairment
multimodal prediction
speech
gaze
pupil dilation
Online Access:https://www.frontiersin.org/articles/10.3389/fcomp.2021.642633/full

Internet

https://www.frontiersin.org/articles/10.3389/fcomp.2021.642633/full

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