Electronic Method for Detection of Heart Valve Defects
Aparajita Naik1, Jivan Parab2, Rajendra Gad3
1Aparajita Naik, Department of Electronics, Goa University, Goa, India.
2Jivan Parab*, Department of Electronics, Goa University, Goa, India.
3Rajendra Gad, Department of Electronics, Goa University, Goa, India.

Manuscript received on November 15, 2019. | Revised Manuscript received on November 23, 2019. | Manuscript published on November 30, 2019. | PP: 2373-2376 | Volume-8 Issue-4, November 2019. | Retrieval Number: D7132118419/2019©BEIESP | DOI: 10.35940/ijrte.D7132.118419

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This article describes a sophisticated method for detection of Heart valve defects at early stage i.e Grade 1 murmur without the expertise of a doctor. The diagnosis based on heard heart sounds through, either a conventional acoustic or an electronic stethoscope is itself a very specialized skill that will take years to acquire. Sometimes the doctors cannot detect these defects till the murmurs reach grade 3 and above which generally is too late for prognosis. Here, we have taken the recorded heart sounds from 350 subjects and performed the Fast Fourier Transform(FFT) on it, but it didn’t give satisfying result. We have also recoded heart sounds using phonograph for 20 subjects in noise free environment. In this technique Frequency component with the maximum magnitude (in Hertz) was observed to be of varying values across some heart sounds (for e.g., heart sound from subject 41=13.0588Hz and heart sound from subject 58=324.5293Hz). Hence normal heart sounds could not be categorized in a generic way. To overcome this problem, we have used Shannon energy method on same data file, which will classify the condition of heart by finding S1(lub) and S2(dub) frequency component, if they lie between 30-100Hz, the heart is normal and if it is above 100Hz then the heart function is abnormal.
Keywords: DSP, ECG, FFT, Heart Valve, Shannon Energy. Keywords : About Four Key Words Or Phrases In Alphabetical Order, Separated By Commas.
Scope of the Article: Recent Trends in Microelectronics and VLSI Design.