• S.Vyshali
• M.V.Subramanyam
• Dr.k.Soundara Raajan

The medical experts study the electromechanical association of the human heart in order to detect heart diseases from the of the heart patients. A myocardial infarction or heart attack is a heart disease that occurs when there is a block (blood clot) in the pathway of one or more coronary blood vessels (arteries) that carry oxygenated blood away from the heart to the tissues. The quality (or)state of being abnormal in the heart can be recognized by the changes in the medical signal. The conventional approaches require too much time for medical analysis. This paper proposed an efficient medical diagnosing system that detects the MI within less time period. This paper also proposed a novel sift technique to detach the environmental stimulus present in medical. The proposed approach decomposes the patients signal into some bands in which when the number of atoms is large, one gets a continuum of energy levels. These obtained bands are filtered and then process for feature extraction. The proposed approach evaluates the measure of signal’s power content versus frequency is finded out of noise filtered bands and then process for classifier. A person (or) thing that classifies something performs the comparison between the features of query and database sample features and reveals the type of heart disease it belongs.

medical diagnosis, myocardial infarction (MI), spectral bands, PSD.

"SPECTRAL CORRELATIVE CODING FOR MEDICAL IMAGE RETRIEVAL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.297-305, June-2019, Available :http://www.jetir.org/papers/JETIR1907T13.pdf

"SPECTRAL CORRELATIVE CODING FOR MEDICAL IMAGE RETRIEVAL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp297-305, June-2019, Available at : http://www.jetir.org/papers/JETIR1907T13.pdf