| Full text | |
| Author(s): |
Total Authors: 3
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| Affiliation: | [1] Univ Sao Paulo, Dept Telecommun & Control Engn, Biomed Engn Lab, Escola Politecn, Sao Paulo - Brazil
[2] Politecn Torino, Dept Elect, Lab Ingn Sistema Neuromuscolare, Turin - Italy
Total Affiliations: 2
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| Document type: | Journal article |
| Source: | BIOMEDICAL ENGINEERING ONLINE; v. 13, MAR 10 2014. |
| Web of Science Citations: | 4 |
| Abstract | |
Background: New technologies for data transmission and multi-electrode arrays increased the demand for compressing high-density electromyography (HD EMG) signals. This article aims the compression of HD EMG signals recorded by two-dimensional electrode matrices at different muscle-contraction forces. It also shows methodological aspects of compressing HD EMG signals for non-pinnate ( upper trapezius) and pinnate ( medial gastrocnemius) muscles, using image compression techniques. Methods: HD EMG signals were placed in image rows, according to two distinct electrode orders: parallel and perpendicular to the muscle longitudinal axis. For the lossless case, the images obtained from single-differential signals as well as their differences in time were compressed. For the lossy algorithm, the images associated to the recorded monopolar or single-differential signals were compressed for different compression levels. Results: Lossless compression provided up to 59.3% file-size reduction (FSR), with lower contraction forces associated to higher FSR. For lossy compression, a 90.8% reduction on the file size was attained, while keeping the signal-to-noise ratio (SNR) at 21.19 dB. For a similar FSR, higher contraction forces corresponded to higher SNR Conclusions: The computation of signal differences in time improves the performance of lossless compression while the selection of signals in the transversal order improves the lossy compression of HD EMG, for both pinnate and non-pinnate muscles. (AU) | |