Normalization of the electromyographic signals of masticatory muscles during non-habitual chewing activity

There is no consensus on the most appropriate method for normalizing electromyography (EMG) signals from masticatory muscles during isotonic activity. Aim: To analyze best data processing of EMG signal activity (non-habitual chewing), comparing raw and different types normalization. Methods: This a cross-sectional study. Women aged between 18 45 years were selected. Anthropometric collected (age, height, body mass index – BMI, preference) as well (root mean square RMS) anterior temporal masseter bilaterally, suprahyoid muscles, chewing) isometric tasks. processed offline using Matlab® Software. The normalization was carried out 2nd cycle, chosen at random, 20 cycles collected, maximum RMS value, voluntary contraction (MVC). data, coefficient variation (CV) calculated. Descriptive analysis adopted, standard deviation. ANOVA with repeated measures used to detect significant differences methods Statistical significance set 5% (α<0.05). Results: final sample this research composed 86 women. volunteers presented an average age 27.83±7.71 BMI 22.85±1.91 Kg/m2. Regarding preference, 73.25% reported right side, 26.75% left side. Considering comparison methods, %CV measure cycle showed lowest biting all Max, MVC (p=0.001, p=0.003, p=0.001 respectively). Conclusion: In conclusion, non-habitual chewing activity, results study recommend second chewing.