Abstract
These paper presents research results of muscle EMG signal denoising. In the same time two muscles were examined - an adductor muscle (biceps brachii) and an abductor muscle (tricpeps brachii). The EMG signal was filtered using the wavelet transform technique, having selected the crucial parameters as: wavelet basis function (Daubechies 4), 10th decomposition level, threshold selection algorithm (Heurestic) and a sln rescaling function (based on scaled white noise). After denoising the signal, a short analysis of the outcome signal is performed. Such developed system has a wide application possibility, mainly in Mechatronic systems where it can be used for example in teleoperation of a robot arm, control signals for a prosthetic arm, biomedical signal filtering or in rehabilitation aiding robots.
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Gradolewski, D., Tojza, P.M., Jaworski, J., Ambroziak, D., Redlarski, G., Krawczuk, M. (2015). Arm EMG Wavelet-Based Denoising System. In: Awrejcewicz, J., Szewczyk, R., Trojnacki, M., Kaliczyńska, M. (eds) Mechatronics - Ideas for Industrial Application. Advances in Intelligent Systems and Computing, vol 317. Springer, Cham. https://doi.org/10.1007/978-3-319-10990-9_26
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DOI: https://doi.org/10.1007/978-3-319-10990-9_26
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