Title :
Signal processing techniques predict characteristic frequencies of the Alzheimer´s disease beta-amyloid protein and its precursor
Author :
De Trad, Chafia Hejase
Author_Institution :
Dept. of Phys., United Arab Emirates Univ., Al-Ain, United Arab Emirates
Abstract :
Alzheimer´s disease (AD) is an age-related and irreversible brain disorder probably due to the breakdown between nerve cell connections in the brain resulting in death of many of these cells. Amyloid plaques are one of the hallmarks of AD. Plaques are deposits of beta-amyloid-a protein fragment snipped from a larger protein called amyloid precursor protein. Using the resonant recognition model, characteristic frequencies for both beta-amyloid protein and its precursor are predicted. Also, functionally important amino acids for beta-amyloid are predicted with the wavelet technique.
Keywords :
Fourier transforms; brain models; cellular biophysics; diseases; feature extraction; medical signal processing; neurophysiology; proteins; wavelet transforms; Alzheimer´s disease; amino acids; amyloid plaques; amyloid precursor protein; beta-amyloid protein; brain disorder; characteristic frequencies; nerve cell connections; protein fragment; resonant recognition model; signal processing techniques; wavelet technique; Alzheimer´s disease; Amino acids; Biological system modeling; Continuous wavelet transforms; Frequency; Protein engineering; Resonance; Signal analysis; Signal processing; Wavelet transforms;
Conference_Titel :
Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
Print_ISBN :
0-7803-7612-9
DOI :
10.1109/IEMBS.2002.1134430