Advanced Methods and Implementation Tools for Cardiac Signal Analysis

Abstract

The heart is considered as a muscular pump that propels the blood toward all the cells of the human body, this hollow muscle has an internal electrical activity that allows it to contract automatically. Measuring this activity, called ECG signal, is used to diagnose the heart disorders. So, in this chapter, we survey the current state-of-the-art methods of ECG processing which contain several steps such as preprocessing or denoising, feature extraction and then arrhythmias detection; and the technological solutions for real-time implementation on embedded architectures as CPU, GPU, or FPGA. Finally, we discuss drawbacks and limitations of the presented methods with concluding remarks and future challenges.