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Bioelectrical Signal is a weak signal which is buried in the noisy environment, how to recover the weak signal in a strong noisy environment is very important. The paper gets SEMG and EEG as examples, and proposes a de-noising method based on wavelet energy entropy to bioelectrical signal de-noising. First multi-scale wavelet decomposition of bioelectrical signal is performed by discrete wavelet transform;...
In order to improve the surface electromyography (SEMG) pattern recognition ability of hand movement, this paper presents a de-noising method based on lifting wavelet transform. Firstly, high frequency detail coefficients of multilayer signals are obtained from original SEMG using the lifting wavelet decomposition with lifting algorithm. Then the coefficients are treated by the soft and the hard threshold...
This paper designs a bionic artificial hand that has a tactile sensing, two degrees of freedom, driven by surface electro-myography (SEMG). The tactile sensor applying PVDF as a sensitive material, fitted the finger of artificial hand, has a good dynamic response. The tactile sense is spread to the user by an electric shock generator. Using improved power spectrum ratio and data fusion method based...
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