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A Method of Feature Extraction on Micro-Raman Spectra for Classification of Neuro-degenerative Disorders  

Park, Aa-Ron (The School of Electronic and Computer Engineering, Chonnam National University)
Baek, Sung-June (The School of Electronic and Computer Engineering, Chonnam National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SC / v.48, no.2, 2011 , pp. 80-85 More about this Journal
Abstract
Alzheimer's disease and Parkinson's disease are the most common neurodegenerative disorders. In this paper, we proposed a feature extraction method for classification of AD and PD based on micro-Raman spectra from platelet. The first step of the preprocessing is a simple smoothing followed by background elimination to the original spectra to make it easy to measure the intensity of the peaks. The last step of the preprocessing was peak alignment with the reference peak. After the inspection of the preprocessed spectra, we found that proportion of two peak intensity at 743 and $757cm^{-1}$ and peak intensity at 1248 and $1448cm^{-1}$ are the most discriminative features. Then we apply mapstd method for normalization. The method returned data with means to 0 and deviation to 1. With these three features, the classification result involving 263 spectra showed about 95.8% true classification in case of MAP(maximum a posteriori probability).
Keywords
Alzheimer's disease; Parkinson's disease; neurodegenerative disorders; Raman spectroscopy; pattern classification;
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