TY - GEN
T1 - Alternating diffusion maps for dementia severity assessment
AU - Shnitzer, Tal
AU - Rapaport, Maya
AU - Cohen, Noga
AU - Yarovinsky, Natalya
AU - Talmon, Ronen
AU - Aharon-Peretz, Judith
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - Manifold Learning
KW - Alternating Diffusion
KW - Electroencephalogram
KW - Alzheimer's Disease
UR - http://www.scopus.com/inward/record.url?scp=85023781931&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2017.7952272
DO - 10.1109/ICASSP.2017.7952272
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T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 831
EP - 835
BT - 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings
T2 - 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017
Y2 - 5 March 2017 through 9 March 2017
ER -