Proposed design for analyzing electrocardiography (ECG) signals. This methodology employs high pass least-square linear phase finite impulse response (FIR) filtering technique to filter out the baseline wander noise embedded in the input ECG signal to the system. Discrete wavelet transform (DWT) was utilized as a feature extraction methodology to extract the reduced feature set from the input ECG signal. The design uses back propagation neural network classifier to classify the input ECG signal. The system is simulation on xilinx system generator.