A Non Invasive Biomarkers for Alzheimer’s Disease Detection
Ramya. M1, Marykutty Cyriac2
1Ramya. M, Research Scholar, Department of Electronics and Communication Engineering, Jerusalem College of Engineering, Anna University, Chennai (Tamil Nadu), India.
2Dr. Marykutty Cyriac, Professor, Department of Electronics and Communication Engineering, Jerusalem College of Engineering, Chennai (Tamil Nadu), India.
Manuscript received on 13 July 2019 | Revised Manuscript received on 09 August 2019 | Manuscript Published on 29 August 2019 | PP: 1-6 | Volume-8 Issue-2S5 July 2019 | Retrieval Number: B10010682S519/2019©BEIESP | DOI: 10.35940/ijrte.B1001.0782S519
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Alzheimer’s disease (AD) is one of the most common neurodegenerative diseases occurring in elderly population worldwide, which usually starts slowly and worsens over time. AD is generally diagnosed too late, when irreversible damages have been caused in the patient’s brain region. Present need demands the discovery of diagnostic and prognostic patient specific effective biomarkers to improve patient’s life quality and avoid big healthcare costs. Objective of this survey is to review the non-invasive biomarkers that could be used to predict early onset of AD and delay cognitive impairment.
Keywords: Alzheimer’s Disease, Biomarkers, Cognitive Impairment, Neuro-Degenerative Disease.
Scope of the Article: Cognitive Radio Networks