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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), 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.
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Keywords
Details
- Category:
- Monographic publication
- Type:
- rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
- Title of issue:
- W : Mechatronics - Ideas for Industrial Application strony 289 - 296
- Language:
- English
- Publication year:
- 2015
- Bibliographic description:
- Gradolewski D., Tojza P., Jaworski J., Ambroziak D., Redlarski G., Krawczuk M.: Arm EMG Wavelet-Based Denoising System// W : Mechatronics - Ideas for Industrial Application/ ed. Awrejcewicz, J., Szewczyk, R., Trojnacki, M., Kaliczyńska, M. Szwajcaria: Springer International Publishing, 2015, s.289-296
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-319-10990-9_26
- Verified by:
- Gdańsk University of Technology
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