Analysis of Energy Concentration of the Speech, EEG, and ECG Signals in Healthcare Applications—A Survey

In electrical, electronics, communications, and computer engineering programme of studies, Digital signal processing (DSP) is an essential subject. The level of understanding the subject is a challenge still for many students, industry professionals, researchers, and scientists. Apart from the core DSP, the advanced theory of DSP such as efficient digital filters design and implementation, multirate DSP, multirate and wavelet signal processing, and statistical signal processing helps the industry to provide optimum solutions in various applications. This study details the analysis of energy concentration of the speech, brain and heart signals which are often found in healthcare applications. The appropriate FIR filters are designed using various windows, and the signal-to-noise ratio (SNR) improvement results are compared. The Hamming, Hanning, Blackman, Bartlett, Rectangular and Gaussian windows are used to obtain the tapering effect in this study. Matlab 9.4 (R2018a) tool was used to carry out all the experiments.