The Utility of Simulink Subsystems in Handling and Processing of Biomedical Signals and Images

Abstract

To model, simulate, and analyze multi-domain dynamical systems, Simulink, which is a Matlab-based graphical programming environment, can be used effectively. Due to the drag-drop facility, accessible graphic user interface components, and zero coding environments, Simulink becomes the most used tool both in industry and academia. The design cycle time of any real-time systems can be reduced using Simulink than other software tools. This article focuses mainly on the utility behind the subsystems such as enabled subsystem, triggered subsystem, triggered and enabled subsystem, and control flow subsystem in biomedical signal and image processing. Image segmentation using enabled subsystem, voiced/unvoiced classification using triggered subsystem, and the computation of root-mean-square (RMS) amplitude using If Action subsystem are implemented using breast cancer image and human voice signal. The Matlab 9.4 tool is used for experimental simulation with the biomedical signals and images.