POWER SPECTRUM SEQUENCE ANALYSIS OF RHEUMATIC ARTHRITIS (RA) DISEASE USING DSP TECHNIQUE

K.B.Ramesh, Prabhu Shankar.K.S, B.P.Mallikarjunaswamy, E.T.Puttaiah

Abstract: Digital Signal Processing (DSP) applications in bioinformatics have received great attention in recent years, where new effective methods for genomic sequence analysis, such as the detection of coding regions, have been developed. Rheumatic Arthritis (RA) is a chronic systemic inflammatory disease involving primarily the peripheral synovial joints. In this work, the software module has been implemented using MATLAB 2009a which supports bioinformatics toolbox. The DSP techniques such as Fast Fourier Transform (FFT) and Hamming window are incorporated in the algorithm. Quantitative analysis is performed using mean amplitude and mean normalized frequency parameters computed from the generated power spectrum. The algorithm is tested for different normal and abnormal DNA sequences available in National center of Biotechnology Information (NCBI) database

Keywords: Digital signal processing (DSP), Fast Fourier Transform (FFT), Rheumatic Arthritis (RA)

DOI: https://doi.org/10.15623/ijret.2013.0209038