Novel electromyography signal envelopes based on binary segmentation

Publication date: August 2018 Source:Biomedical Signal Processing and Control, Volume 45 Author(s): J.A. Guerrero, M.A. Castillo-Galván, J.E. Macías-Díaz In this work, we introduce two novel methodologies to compute the envelope of superficial electromyography signals. Our methods are based on the detection of activation and deactivation patterns using a change-point approach on the variances of the sample. More concretely, an iterative algorithms is proposed to select the change-points between two segments of the signal based on some local statistics introduced in this work. The signal is split up into two segments, and a new search for change-points is recursively conducted in each subsequence. The change-points make possible to calculate local envelopes which reflect the shape of the signal without ignoring the activation and deactivation landmarks. Two methods are proposed in this work, and the improvements with respect to methodologies available in the literature are shown using both synthetic and real data. A thorough analysis of the techniques is performed to that end.
Source: Biomedical Signal Processing and Control - Category: Biomedical Science Source Type: research