Electromyogram Signal Compression based on Empirical-Mode-Decomposition-Based Approximation and DCT-Based Smoothing

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Magari M.; Grailu H.

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Paper Information

Journal: JOURNAL OF ADVANCED SIGNAL PROCESSING Year:2019 | Volume:3 | Issue:1 (3) Page(s): 83-96

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Information Journal Paper

Title

Electromyogram Signal Compression based on Empirical-Mode-Decomposition-Based Approximation and DCT-Based Smoothing

Author(s)

Magari M. | Grailu H. | Issue Writer Certificate

Keywords

Compression

empirical mode decomposition (EMD)

signal smoothing

discrete cosine transform (DCT)

two-dimensional signal processing

wavelet transform

set partitioning in hierarchical trees (SPIHT) coding

Abstract

Electromyogram (EMG) signals are useful in muscle behavior assessment and have some clinical applications. Today, there is a great tendency to transmit and store long-term EMG recordings which implies the importance of EMG signal Compression. In this paper, we have proposed an EMG signal Compression approach based on Empirical-Mode-Decomposition-based signal approximation, Discrete-Cosine-Transform-based signal smoothing, two-dimensional signal processing, wavelet transform, and SPIHT coding. We have evaluated the Compression performance of the proposed approach by two sets of measures: The Compression throughput and clinical-information-preserving measures. The former include two measures of PRD and CF while the latter uses four spectral parameters as the appropriate measures.

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APA: Copy

Magari, M., & Grailu, H.. (2019). Electromyogram Signal Compression based on Empirical-Mode-Decomposition-Based Approximation and DCT-Based Smoothing. JOURNAL OF ADVANCED SIGNAL PROCESSING, 3(1 (3) ), 83-96. SID. https://sid.ir/paper/268945/en

Vancouver: Copy

Magari M., Grailu H.. Electromyogram Signal Compression based on Empirical-Mode-Decomposition-Based Approximation and DCT-Based Smoothing. JOURNAL OF ADVANCED SIGNAL PROCESSING[Internet]. 2019;3(1 (3) ):83-96. Available from: https://sid.ir/paper/268945/en

IEEE: Copy

M. Magari, and H. Grailu, “Electromyogram Signal Compression based on Empirical-Mode-Decomposition-Based Approximation and DCT-Based Smoothing,” JOURNAL OF ADVANCED SIGNAL PROCESSING, vol. 3, no. 1 (3) , pp. 83–96, 2019, [Online]. Available: https://sid.ir/paper/268945/en

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