Popularly used Signal Processing and Analysis Techniques for Biomedical Signals
Keywords:biomedical signals, signal processing, analysis, artificial neural networks, fuzzy logic, diagnosis of disease
Human life is precious. It is often encountered by many diseases posing the physicians' new challenges every time in their treatment, such for example COVID-19. Unless the root cause of the disease is known clearly, it is difficult to plan for its treatment. A thorough understanding is possible only when the biological signals are observed and analyzed clearly. For this purpose, technology plays an important role in the handling of the signals. Biomedical signal acquisition, processing, and analysis are the prime stages in the diagnosis of any disease. In this paper, a few advanced signal processing methods have been discussed. Each method has merits and demits but, a particular method of interest depends on the computational time, algorithm implementation, and the device cost. The methods explained here are not just limited rather several algorithms are available in the literature. However, the methods explained in this paper gives a basic understanding of each technique with suitable examples.
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