Improved two-dimensional dynamic S-EMG Signal compression with robust automatic segmentation

This work presents an automatic and robust algorithm for surface electromyography signals segmentation in dynamic experimental protocol. The signals are segmented based on the peak burst occurrence. The twodimensional array is constructed and used as input of a 2D signal encoder. The two-dimensional matrix lines may be long enough to have several bursts. The algorithm includes, besides segmentation modules, several others to eliminate the occurrence of false positives. An encoder that combines the AV1 and JPEG2000 toolset is used to compress data. Basically, depending on the target compression rate the encoder uses AV1 or JPEG2000. Examples of segmentation for electromyography signals digitalized from lower and upper limbs are shown. Data compression results for real electromyography signals data bank are presented. A performance comparison with other works reported in the literature is also included.

Automated summary

This work introduces an automatic and robust algorithm for segmenting surface electromyography signals in dynamic experimental protocols. Signals are segmented based on peak burst occurrence and compressed using an encoder combining AV1 and JPEG2000 toolset. Results include examples of segmentation and compression for digitalized electromyography signals and performance comparison with other works in the literature.