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This study presents an approach to use different biomedical signals in order to do biometric identification. The biomedical signals are captured using Arduino and Libelium platforms, what offers a low cost solution. The biomedical signals used are Electromyogram, Electrocardiogram and the Galvanic Skin Response. These signals are parametrized using well-known measures and Neural Networks are used...
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