Exploring Modern Digital Signal Processing Techniques on Physiological Signals in Day-to-Day Life Applications

Bio-signal processing subject mainly depends on the applications of digital signal processing (DSP) approaches, such as discrete and fast Fourier transforms (FFT), recursive and non-recursive digital filters, FFT processing, random signal analysis, adaptive filters, multi-rate DSP, etc. Digital filters are mainly applied to retain the in-band signals and to stop the out-of-band noise signals. Generally, low-pass, high-pass, band-pass, and band-stop filters are deployed for filtering applications. In common, the DSP concepts can be used for more biomedical engineering domains like biomedical imaging (PET, X-ray, CT, ultrasound, MRI) and genomic signal processing too. In this study, the experiments such as smoothing the electric signals arising in the eye, sharpening the image using an unsharp mask, removal of respiratory, muscle, power-line noises from ECG, and the bandwidth study on the speech signal are detailed. All the experiments are carried out using Matlab 9.4 (R2018a) tool. At last, the feedback, assessment, and survey results from the student are outlined for the better improvement of the course study.