Identification of Alzheimer’s disease through Feature Extraction using Latent Factor of Multi-Channel EEG

Volume 19 No 6 (2021)

Sushant Chamoli,

DOI: 10.48047/nq.2021.19.6.NQ21090

Abstract

One of the most prevalent and rapidly spreading neurological disorders in the world is Alzheimer's disease. There are several biomarkers available for the evaluation &growth of Alzheimer's disease, and these tools might be seen as crucial for therapeutic applications. EEG signals produce a potent and reasonably priced tool for the diagnosis of many neurological diseases. In this instance, it is necessary to increase the EEG signals' diagnostic precision

Keywords

Neurological Disorders, Alzheimer Disease, EEG Signals, Spectral Features, Coherence Features.

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