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), 10 th 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.
Authors
- mgr inż. Dawid Gradolewski link open in new tab ,
- dr inż. lek. Piotr Tojza link open in new tab ,
- mgr inż. Jacek Jaworski link open in new tab ,
- mgr inż. Dominik Ambroziak link open in new tab ,
- prof. dr hab. inż. Grzegorz Redlarski link open in new tab ,
- prof. dr hab. inż. Marek Krawczuk link open in new tab
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.1007/978-3-319-10990-9_26
- Category
- Publikacja monograficzna
- Type
- rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
- Language
- angielski
- Publication year
- 2015
Source: MOSTWiedzy.pl - publication "Arm EMG Wavelet-Based Denoising System" link open in new tab
