Alternating diffusion maps for dementia severity assessment

In this paper we address the detection of Alzheimer's disease based solely on EEG recordings. We assume that the state of Alzheimer's disease can be described by a latent manifold, captured by the EEG sensors and apply alternating diffusion to reveal this common underlying manifold from mu...

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Published inProceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) pp. 831 - 835
Main Authors Shnitzer, Tal, Rapaport, Maya, Cohen, Noga, Yarovinsky, Natalya, Talmon, Ronen, Aharon-Peretz, Judith
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2017
Subjects
Alternating Diffusion
Alzheimer's disease
Electrodes
Electroencephalogram
Electroencephalography
Manifold Learning
Manifolds
Sensors
Transforms
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ISSN2379-190X
DOI10.1109/ICASSP.2017.7952272

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Summary:In this paper we address the detection of Alzheimer's disease based solely on EEG recordings. We assume that the state of Alzheimer's disease can be described by a latent manifold, captured by the EEG sensors and apply alternating diffusion to reveal this common underlying manifold from multiple EEG sensors. We show that based on a small number of EEG electrodes, a new representation can be obtained, which allows a clear distinction between healthy subjects and Alzheimer patients in different disease stages.
ISSN:2379-190X
DOI:10.1109/ICASSP.2017.7952272