Optoelectronic Reservoir Computer for Early Stage Alzheimer’s Disease detection

Nickson Mwamsojo; Kamel Merghem; Mounim A. El–Yacoubi; Yann Frignac; Badr-Eddine Benkelfat; Anne-Sophie Rigaud; Frederic Lehmann

doi:10.1364/CLEO_AT.2022.ATh4I.5

Conference on Lasers and Electro-Optics
Technical Digest Series (Optica Publishing Group, 2022),
paper ATh4I.5
•https://doi.org/10.1364/CLEO_AT.2022.ATh4I.5

Optoelectronic Reservoir Computer for Early Stage Alzheimer’s Disease detection

Nickson Mwamsojo, Kamel Merghem, Mounim A. El–Yacoubi, Yann Frignac, Badr-Eddine Benkelfat, Anne-Sophie Rigaud, and Frederic Lehmann

CLEO: Applications and Technology 2022

San Jose, California United States
15–20 May 2022
ISBN: 978-1-957171-05-0

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Photonics for Biomedical Diagnostics (ATh4I)

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N. Mwamsojo, K. Merghem, M. A. El–Yacoubi, Y. Frignac, B. Benkelfat, A. Rigaud, and F. Lehmann, "Optoelectronic Reservoir Computer for Early Stage Alzheimer’s Disease detection," in Conference on Lasers and Electro-Optics, Technical Digest Series (Optica Publishing Group, 2022), paper ATh4I.5.

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Abstract

An optoelectronic Reservoir Computer is proposed and implemented numerically and on physical hardware for early-stage Alzheimer’s disease detection for the first time. The approach yields classification accuracy of 85% surpassing state-of-the-art performances.

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