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Innovation

Comparative study of wavelet denoising in myoelectric control applications

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Pages 80-86 | Received 23 May 2015, Accepted 03 Jan 2016, Published online: 18 Feb 2016

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Alberto Fidalgo-Herrera, Juan Miangolarra-Page & Maria Carratalá-Tejada. (2022) Traces of muscular fatigue in the rectus femoris identified with surface electromyography and wavelets on normal gait. Physiotherapy Theory and Practice 38:1, pages 211-225.
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Articles from other publishers (6)

Chen Zhang, Zijian Zhou & Shuren Zhou. (2023) sEMG Signal Denoising Based on Variational Mode Decomposition and Wavelet Thresholding. sEMG Signal Denoising Based on Variational Mode Decomposition and Wavelet Thresholding.
Oluwarotimi Williams Samuel, Mojisola Grace Asogbon, Rami Khushaba, Frank Kulwa & Guanglin Li. (2023) Multiresolution Dual-Polynomial Decomposition Approach for Optimized Characterization of Motor Intent in Myoelectric Control Systems. IEEE Transactions on Biomedical Engineering 70:5, pages 1516-1527.
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Marianne Boyer, Laurent Bouyer, Jean-Sébastien Roy & Alexandre Campeau-Lecours. (2023) Reducing Noise, Artifacts and Interference in Single-Channel EMG Signals: A Review. Sensors 23:6, pages 2927.
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Francesco Di Nardo, Martina Morano, Annachiara Strazza & Sandro Fioretti. (2022) Muscle Co-Contraction Detection in the Time–Frequency Domain. Sensors 22:13, pages 4886.
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Francesco Di Nardo, Martina Morano & Sandro Fioretti. (2022) Quantification of ankle muscle co-contraction during early stance by wavelet-based analysis of surface electromyographic signals. Quantification of ankle muscle co-contraction during early stance by wavelet-based analysis of surface electromyographic signals.
A. Fidalgo-Herrera, J.C. Miangolarra-Page & M. Carratalá-Tejada. (2021) Electromyographic traces of motor unit synchronization of fatigued lower limb muscles during gait. Human Movement Science 75, pages 102750.
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