Marcel Henrique Trabuco

Marcel Henrique Trabuco
University of Brasília | UnB · Department of Electrical Engineering

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8
Publications
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53
Citations

Publications

Publications (8)
Article
This work presents an automatic and robust algorithm for surface electromyography signals segmentation in dynamic experimental protocol. The signals are segmented based on the peak burst occurrence. The two-dimensional array is constructed and used as input of a 2D signal encoder. The two-dimensional matrix lines may be long enough to have several...
Article
This paper presents algorithms designed for one-dimensional (1-D) and 2-D surface electromyographic (S-EMG) signal compression. The 1-D approach is a wavelet transform based encoder applied to isometric and dynamic S-EMG signals. An adaptive estimation of the spectral shape is used to carry out dynamic bit allocation for vector quantization of tran...
Conference Paper
Full-text available
This paper evaluates the effect of varying the number of bit allocation sub-bands that segment the transformed wavelet spectrum in an eletromyographic signal encoder. This study investigates the optimal number of sub-bands in the segmented wavelets transform spectrum, which is used in the quantizing algorithm. The criteria of objective evaluation i...
Article
Full-text available
Surface electromyographic (S-EMG) signal processing has been emerging in the past few years due to its non-invasive assessment of muscle function and structure and because of the fast growing rate of digital technology which brings about new solutions and applications. Factors such as sampling rate, quantization word length, number of channels and...
Conference Paper
Full-text available
Nesse trabalho é apresentado um codificador de sinais de eletromiografia de superfície para aplicações em protocolos dinâmicos como é o caso do ciclismo. A técnica proposta é baseada na transformada wavelet e alocação de bits em perfil espectral decrescente por sub-bandas. Foram implementadas e comparadas três modelos para a alocação de bits para o...
Conference Paper
In this paper, an S-EMG signal encoder based on wavelet transform and bit allocation for sub-bands is presented. Were implemented and compared two methods of allocating bits: linear decreasing spectral profile and hyperbolic tangent decreasing spectral profile. Comparisons with other encoders in the literature are shown. In the development of the e...

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