Arrhythmia & neural network

This paper presents a system for arrhythmia analysis. This system analyze electrocardiogram signal of patient and recommend yoga accordingly. Now a day´s arrhythmia is the leading cause of death in many countries. Hence capturing and diagnosis of electrocardiogram signal is important. As yoga is one of the traditional arts, its preservation is important and it is possible only by using yoga in practice. Clamp electrodes are used for ECG signal capturing and amplification done by an instrumentation amplifier. For analog to digital form conversion of ECG signal, DAC card is useful. Then ECG signal features are extracted in mat lab and extracted features are given to the feed-forward back propagation neural network for classification. Here ECG signal is classified as normal, tachycardia and bradycardia arrhythmia. Accordingly this system suggests yoga to the heart patient.