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Y. C. Pati and P. S. Krishnaprasad, “Analysis and synthesis of feedforward neural networks using discrete affinewavelet transformations,” IEEE Trans. Neur. Netw., vol. 4, no. 1, pp. 73-85, Jan. 1992.

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Article

Dimensionality Reduction of Optical Coherence Tomography Images for the Early Diagnosis of Alzheimer’s Disease

1Department of Electronics and Communication, College of Engineering, Trivandrum, India

2Department of Ophthalmology, Sree Gokulam Medical College and Research Foundation, Trivandrum, India

3Department of Neurology, Sree Gokulam Medical College and Research Foundation, Trivandrum, India


American Journal of Electrical and Electronic Engineering. 2017, Vol. 5 No. 2, 58-63
DOI: 10.12691/ajeee-5-2-4
Copyright © 2017 Science and Education Publishing

Cite this paper:
Sandeep C S, Sukesh Kumar A, K Mahadevan, Manoj P. Dimensionality Reduction of Optical Coherence Tomography Images for the Early Diagnosis of Alzheimer’s Disease. American Journal of Electrical and Electronic Engineering. 2017; 5(2):58-63. doi: 10.12691/ajeee-5-2-4.

Correspondence to: Sandeep  C S, Department of Electronics and Communication, College of Engineering, Trivandrum, India. Email: sandeepcs07nta@gmail.com

Abstract

Alzheimer’s disease (AD) is the most common cause of dementia and its incidence is increasing worldwide along with population aging. Previous clinical and histologic studies suggest that the neurodegenerative process, which affects the brain, may also affect the retina of AD patients. In this case, the employment of advanced Biomedical Engineering Technology will definitely helpful for making diagnosis. Any disease modifying treatments which are developed are most possibly to be achieving success if initiated early in the process, and this needs that we tend to develop reliable, validated and economical ways to diagnose Alzheimer’s kind pathology. However, despite comprehensive searches, no single test has shown adequate sensitivity and specificity, and it is likely that a combination will be needed. Profiling of human body parameter using computers can be utilised for the early Diagnosis of Alzheimer’s disease. There are lot of tests and imaging modalities to be performed for an effective Diagnosis of the disease. Prominent of them are Magnetic Resonance Imaging Scan (MRI), Positron Emission Tomography (PET), Single Photon Emission CT Scanning (SPECT) and Optical Coherence Tomography (OCT).In the recent studies made on Alzheimer’s disease it is clearly investigated that are some parameter changes on the retina of the eye of the AD patients. In this research we have proposed a new scheme based on Wavelet Networks (WN) for the dimensionality reduction of OCT retinal images for the early Diagnosis of AD.

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