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The nucleotide genomic signal (NuGS) methodology is based on the conversion of symbolic nucleotide sequences into digital genomic signals. There have been several attempts to represent nucleotide sequences as digital signals, most using some specific property of the nitrogeneous bases, e.g., the electronion interaction (EII) potential. Unfortunately, the resulting representation tends to be biased,...
This paper presents machine learning (ML) techniques for development of a control scheme to be used in functional electrical stimulation (FES) of hemiplegic walking. The goal is to make an electrical stimulation pattern by mapping the sensors signals acquired during walking (input) to activities of muscles (output) acting around knee and ankle joints. Two machine learning techniques with ability of...
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