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A Brief Literature Review of Mathematical Models of EMG Signals Through Hierarchical Analytical Processing

Abstract:

This paper presents a systematic review of the literature for the selection of a mathematical model to determine the behavior and constitution of electromyography (EMG) signals. The selection of a mathematical model can be determined according to the search criteria related to obtaining the same EMG signal. In this context, determining the alternatives and most representative characteristics of a mathematical model is done through a hierarchical analytical process (AHP). This process allows determining the functional, modular, descriptive, and resulting characteristics of a proposed mathematical model. Subsequently, these criteria are correlated with quantitative values for each alternative by means of the Centroid Method, which allows for multiple criteria decision making. Finally, the study presenting the mathematical models proposed by the EMG composition with the highest acceptance weight for Hand Gesture Recognition using Electromyographic Signals has been performed.