A Pedagogical Approach on Digital Signal Processing for ECG Signals

A general comment is that learning digital signal processing (DSP) is very difficult for freshman students. The main objective of this article is to exhibit hands-on experiments to grasp the basic principles behind DSP. Yet the student communities have an exceptional insight of engineering mathematics subjects, due to the inadequacy of application illustrations, figuring out Fourier ideology of discrete-time systems turns into uninteresting for the scholars. The DSP fundamentals are regularly used in everyday activity over many appliances. This article focuses primarily on demonstrations of filter design techniques with electrocardiogram (ECG) signal processing application examples. MATLAB R2018a tool is used here to elucidate the DSP notions. The hum noise in an ECG signal is removed using a band-stop filter, and a breath signal of 8 Hz in an EEG signal is removed using a high-pass filter. The concept behind a digital filter design using MATLAB is simplified through biomedical signal processing application examples.