A Breakthrough in the Early Diagnosis of Alzheimer’s Disease

Abstract

Alzheimer’s disease (AD) is the most common form of senile dementia affecting the growing ageing population around the world. Clinically, it was proved that there is a progressive decline in cognition, memory, and social functioning due to deposition of different types of protein in the brain. The patients with Alzheimer’s have poor intuition and frequently impute early symptoms of forgetfulness to normal ageing. The conventional methods are inadequate to make an exact diagnosis with specificity and sensitivity of the disease. Therefore a reliable, validated and economical tool should be developed for making the disease diagnosis. In this paper, we have made a breakthrough for diagnosing the disease at its earlier stage. At first, a psychometric assessment of the patients is made with the help of cognitive examination (CE) tool that is developed using C sharp. Recently, under certain investigations, neurological degradation occurred in the retina of the eye as well as the brain. After interviewing the patients with the help of CE tool, they were sent to optical coherence tomography (OCT) scanning for obtaining the retinal nerve fiber loss (RNFL) of AD patients. The scanned OCT images were analysed with the help of the proposed tool developed using Marr-Morlet wavelet networks (MMWNs). For obtaining a double verification of the diagnosis process, the patients were again sent to magnetic resonance imaging (MRI) scanning. The obtained MRI images were again analysed with MMWNs. Thus, predicting the disease through double verification can provide a better system for diagnosing the disease at its earlier stage.

Keywords: Alzheimer’s, CE tool, early diagnosis, OCT, MMWNs, MRI, RNFL

Cite this Article: Sandeep C.S., Sukesh Kumar A., K. Mahadevan, P. Manoj. A Breakthrough in the Early Diagnosis of Alzheimer’s Disease. International Journal of Computer Science and Programming Language. 2020; 6(1): 1–12p.