Eigenbehaviour as an Indicator of Cognitive Abilities

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
Main Authors: Botros, A.A (Author), Martin, M. (Author), Müri, R.M (Author), Nef, T. (Author), Röcke, C. (Author), Schuetz, N. (Author), Weibel, R. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Biomarkers
cognitive ability
Cognitive ability
Cognitive impairment
Deep learning
dementia
Digital biomarker
digital biomarkers
Digital measure
digital measures
Eigenvalues and eigenfunctions
Errors
Forecasting
home monitoring
Home monitoring
Infrared detectors
Learning algorithms
Location
Long-term continuous monitoring
Machine learning algorithms
Matrix algebra
mild cognitive impairment
Mild cognitive impairment
Older adults
pervasive computing
Reconstruction error
Support vector machines
Ubiquitous computing
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