Eigenbehaviour as an Indicator of Cognitive Abilities

With growing use of machine learning algorithms and big data in health applications, digital measures, such as digital biomarkers, have become highly relevant in digital health. In this paper, we focus on one important use case, the long-term continuous monitoring of cognitive ability in older adult...

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Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 22; no. 7; p. 2769
Main Authors:	Botros, Angela A, Schuetz, Narayan, Röcke, Christina, Weibel, Robert, Martin, Mike, Müri, René M, Nef, Tobias
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 04-04-2022 MDPI
Subjects:	Adults Age Aged Alzheimer's disease Biomarkers Classification Cognition Cognitive ability Cognitive Dysfunction - diagnosis Datasets Dementia digital biomarkers Eigenvectors Errors Frailty Gait home monitoring Humans Machine Learning Measurement methods mild cognitive impairment Monitoring Neural networks Older people pervasive computing Principal components analysis Reconstruction Sensors Support vector machines Usability Switzerland home monitoring digital biomarkers digital measures dementia mild cognitive impairment cognitive ability pervasive computing
Online Access:	Get full text
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