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The human voice is remarkable, co mp lex and delicate. A ll parts of the body play some role in voice production and may be responsible for voice dysfunction. The laryn x contains muscles that are surrounded by blood vessels connected to circulatory system. The pressure of blood in these vessels should be related with dynamic variation of vocal cord parameters. These parameters are directly related with acoustic properties of speech. Acoustic voice analysis can be used to characterize the pathological voices. This paper presents the classification of high blood pressure and normal with the aid of voice signal recorded fro m the patients. Various features have been extracted fro m the voice signal of healthy persons and persons suffering fro m h igh blood pressure. Simulat ion results show differences in the parameter values of healthy and pathological persons. Then an optimu m feature vector is prepared and kmean classificat ion algorith m was implemented for data classification. The 79% classification efficiency was obtained.

Classification of High Blood Pressure Persons Vs Normal Blood Pressure Persons Using Voice Analysis