Seleção de características para identificação de diferentes proporções de tipos de fibras musculares por meio da eletromiografia de superfície

Skeletal muscle consists of muscle fiber types that have different physiological and biochemical characteristics. Basically, the muscle fiber can be classified into type I and type II, presenting, among other features, contraction speed and sensitivity to fatigue different for each type of muscle fiber. These fibers coexist in the skeletal muscles and their relative proportions are modulated according to the muscle functionality and the stimulus that is submitted. To identify the different proportions of fiber types in the muscle composition, many studies use biopsy as standard procedure. As the surface electromyography (EMGs) allows to extract information about the recruitment of different motor units, this study is based on the assumption that it is possible to use the EMG to identify different proportions of fiber types in a muscle. The goal of this study was to identify the characteristics of the EMG signals which are able to distinguish, more precisely, different proportions of fiber types. Also was investigated the combination of characteristics using appropriate mathematical models. To achieve the proposed objective, simulated signals were developed with different proportions of motor units recruited and with different signal-to-noise ratios. Thirteen characteristics in function of time and the frequency were extracted from emulated signals. The results for each extracted feature of the signals were submitted to the clustering algorithm k-means to separate the different proportions of motor units recruited on the emulated signals. Mathematical techniques (confusion matrix and analysis of capability) were implemented to select the characteristics able to identify different proportions of muscle fiber types. As a result, the average frequency and median frequency were selected as able to distinguish, with more precision, the proportions of different muscle fiber types. Posteriorly, the features considered most able were analyzed in an associated way through principal component analysis. Were found two principal components of the signals emulated without noise (CP1 and CP2) and two principal components of the noisy signals (CP1 and CP2 ). The first principal components (CP1 and CP1 ) were identified as being able to distinguish different proportions of muscle fiber types. The selected characteristics (median frequency, mean frequency, CP1 and CP1 ) were used to analyze real EMGs signals, comparing sedentary people with physically active people who practice strength training (weight training). The results obtained with the different groups of volunteers show that the physically active people obtained higher values of mean frequency, median frequency and principal components compared with the sedentary people. Moreover, these values decreased with increasing power level for both groups, however, the decline was more accented for the group of physically active people. Based on these results, it is assumed that the volunteers of the physically active group have higher proportions of type II fibers than sedentary people. Finally, based on these results, we can conclude that the selected characteristics were able to distinguish different proportions of muscle fiber types, both for the emulated signals as to the real signals. These characteristics can be used in several studies, for example, to evaluate the progress of people with myopathy and neuromyopathy due to the physiotherapy, and also to analyze the development of athletes to improve their muscle capacity according to their sport. In both cases, the extraction of these characteristics from the surface electromyography signals provides a feedback to the physiotherapist and the coach physical, who can analyze the increase in the proportion of a given type of fiber, as desired in each case.

Aditivo polimérico derivado de fonte renovável para aplicação em cimento asfáltico de petróleo

This study evaluated the effects of incorporating an additive from an agro-industrial residue, after some chemical modification reactions, to petroleum asphalt cement (CAP) through the polymerization reaction of a viscous polyol obtained by bagasse biomass oxypropylation reaction sugarcane with anhydrides. The polyol is obtained by biomass oxypropylation reaction with propylene oxide, the reaction was performed in an autoclave sealed with pressure and temperature control using 25 mL of OP for every 5 grams of biomass 200°C, which time reaction was two hours. The reaction is revealed by varying the system pressure, initially at atmospheric pressure to reach a maximum pressure value and its subsequent return to atmospheric pressure. For the choice of the most suitable reaction time for polymerization of the polyol with pyromellitic anhydride, the reaction was also conducted in an autoclave sealed with temperature controller (150 ° C) using 20 g of polyol, 1 g of sodium acetate (catalyst) and 8 g of pyromellitic anhydride with the times 30 and 60 minutes. The polymerized materials with different times were characterized by determining the relative viscosity and percentage content of extractable in cyclohexane / ethanol. Given the results with the polymerized material 30 minutes showed the lowest percentage content of extractives and an increased viscosity relative indicating that this time is highlighted with respect to time 60 minutes, because the material is possibly in the form of a crosslinked polymer. Given the choice of time of 30 minutes other polymerization reactions were performed with various anhydrides and other conditions employed different proportions by mass of polyol anhydrides we were referred to as condition I (20 g anhydride and 8 g of polyol), II (20 g anhydride and 20 g of polyol) and III (8 g anhydride and 20 g of polyol). The FTIR spectra of polymeric materials with different polymerization conditions used to prove the occurrence of chemical modification due to the appearance of a characteristic band ester groups (1750 cm-1) present in the polymerized material. He chose to work with the condition III, as is the condition which employs a larger amount of polyol, and even with the smaller amount of anhydride used FTIR spectra revealed that the polymerization reaction was performed. Among the various anhydrides (phthalic, maleic and pyromellitic) of the different conditions used that stood out before the solubility test with solvents analyzed was polymerized material with pyromellitic anhydride because the polymerized material likely in the form of a crosslinked polymer because it was insoluble or poorly soluble in the solvents tested. Polymerization of the polyol with pyromellitic anhydride using condition III, that is, BCPP30, CSPP30, PCPP30 e BCPPG30, provided an increase in thermal stability relative to material in the form of polyol. Applicability tests concerning the incorporation of 16% m / m BCPP30, CSPP30, PCPP30 e BCPPG30 additive in relation to the mass of 600 g CAP showed through characterization tests used, softening point, elastic recovery and marshall dosage, it is possible to use BCPP30 as an additive the conventional CAP, because even with the incorporation of this new additive modified CAP met the specifications of the appropriate standard.