A novel representation method for electromyogram (EMG) signal with predefined signature and envelope functional bank

In this paper, a new method to model EMG signals by means of "Predefined Signature and Envelope Functional Banks (PSEB)" is presented. Since EMG signals present quasi-stationary behavior, any EMG signal X_i is modeled by the form of X_i≈C_iα_Kφ_R on frame bases in this work. In this model, φ_R is defined as the Predefined Signature Vector (PSV); α_K is referred to as the Predefined Envelope Vector (PEV) and C_i is called the Frame-Scaling Coefficient (FSC). The EMG signal for each frame is described in terms of the two indices "R" and "K" of PSEB and the frame-scaling coefficient C_i. Furthermore, it has been shown that the new method of modeling provides significant data compression while preserving the clinical information in the reconstructed signal.