Design and implementation of image processing algorithms for cardiac blockage detection on FPGA
| Autor: | Shrinivas B Mudigoudar, Abdul Imran Rasheed |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Engineering
business.industry medicine.medical_treatment Operating frequency 030204 cardiovascular system & hematology Cardiac angiogram Coronary arteries 03 medical and health sciences 0302 clinical medicine medicine.anatomical_structure Digital image processing cardiovascular system Canny edge detector medicine 030212 general & internal medicine business Field-programmable gate array Computer hardware Simulation Cardiac catheterization |
| Zdroj: | 2016 IEEE Annual India Conference (INDICON). |
| DOI: | 10.1109/indicon.2016.7839159 |
| Popis: | Nowadays, major health issues are concerned with heart problems say, heart attack. The main cause for heart attack is plaque. The Cardiac Plaque is waxy substance buildup inside the coronary arteries. Plaque results blockages inside the coronary arteries. The cardiac angiogram or cardiac catheterization is an approach used for the diagnosis of coronary blockages. It is an expensive and invasive approach to detect cardiac blockages. So, the angiogram is a conventional approach to diagnose cardiac blockages. In this paper, cardiac blockages are detected by means of Canny edge detector and Watershed image processing algorithms implemented on FPGA (Hardware implementation). The proposed design consumes power of 118 mW and maximum operating frequency is 338.295 MHz and minimum period is 2.956 ns. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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