ECD intelligence

Abstract

The computer technology provides several services in medical diagnosis system, because of its highly speed and accuracy. Since speed and accuracy are important to keep human life, therefore we use this technology in this project for ECG diagnose. It necessary to have computer software which helps doctors to diagnose heart problem as prompt as possible in less time and in an accurate result. In this system we need initially to read an ECG image which size is 467*274 and has extension . gif , after that several preprocessing and conditioning are applied on this image such as filtering, splitting and creating a knowledge based on using wavelets since the wavelet mathematical technique gives results more accurately than other techniques such as Fourier technique, also it is a new tool for signal analysis and then diagnosis by comparing the extracted wavelets with the wavelets components in the knowledge base using K- nearest neighbor rule. The main achievements in this project are that we have proved that wavelets can be used to represent 2-demensional images efficiently. It has been proved that wavelets can be used to diagnose and read ECG images by comparing it with a knowledge base of known cases, so it can be easily used from the internet