The detection of heart abnormality activity of a patient is important when an abnormal symptom occurred. This project is aimed to detect the disease by using Hybrid Multilayer Perceptron (HMLP) network. Several data from the ECG signal is extracted to be set as input parameters. In order to get the best result, the proposed training algorithm of HMLP network is by using Modified Recursive Prediction Error (MRPE). The result obtained is then compared with other training algorithm method to determine the best performance. The HMLP network is expected to give better performance compared with other network classifiers.