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pro vyhledávání: '"Marcel H. Trabuco"'
Autor:
Marcel H. Trabuco, Francisco Assis de Oliveira Nascimento, M. V. C. Costa, Davi B. Gusmão, Bruno Macchiavello
Publikováno v:
Biomedical Signal Processing and Control. 68:102578
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 a
Autor:
Francisco Assis de Oliveira Nascimento, Marcel H. Trabuco, M. V. C. Costa, Bruno Macchiavello
Publikováno v:
IEEE journal of biomedical and health informatics. 22(4)
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 estimati
Autor:
Marcel H. Trabuco, Bruno Macchiavello, M. V. C. Costa, Francisco Assis de Oliveira Nascimento
Publikováno v:
Anais de XXXV Simpósio Brasileiro de Telecomunicações e Processamento de Sinais.
Publikováno v:
2014 Pan American Health Care Exchanges (PAHCE).
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 t
Publikováno v:
2013 Pan American Health Care Exchanges (PAHCE).
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 spectr
Publikováno v:
BioMedical Engineering
Background 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 n