| Referências: |
1.MERLETTI, R.; CERONE, G. L. Tutorial. Surface EMG detection, conditioning and pre-processing: Best practices. Journal of Electromyography and Kinesioloy. 54: 102440, 2020. 2.BASHFORD J, WICKHAM A, INIESTA R, DRAKAKIS E, BOUTELLE M, MILLS K, SHAW CE. Preprocessing surface EMG data removes voluntary muscle activity and enhances SPiQE fasciculation analysis. Clin Neurophysiol. 2020 Jan;131(1):265-273. doi: 10.1016/j.clinph.2019.09.015. 3.MERLETTI, R.; MUCELLI, S. Tutorial. Surface EMG detection in space and time: Best practices. Journal of Electromyography and Kinesioloy. 49: 102363, 2019. 4.ERIK STÅLBERG, HANS VAN DIJK, BJÖRN FALCK, JUN KIMURA, CHRISTOPH NEUWIRTH, MATTHEW PITT, SIMON PODNAR, DEVON I RUBIN , SEWARD RUTKOVE, DONALD B SANDERS, MASAHIRO SONOO, HATICE TANKISI, MACHIEL ZWARTS. Standards for quantification of EMG and neurography. 2019 5.MARCO G, ALBERTO B, TAIAN V. Surface EMG and muscle fatigue: multi-channel approaches to the study of myoelectric manifestations of muscle fatigue. Physiol Meas. 2017 May;38(5):R27-R60. doi: 10.1088/1361-6579/aa60b9. 6. KAMEN, G.; GABRIEL, D. A. Fundamentos da eletromiografia. São Paulo: Phorte, 2015. 7. DELUCA, C. J.; GILMORE, L. D.; KUZNETSOV, M.; ROY, S. H. Filtering the surface EMG signal: Movement artifact and baseline noise contamination. Journal of Biomechanics. 43: 1573-1579, 2010. 8. BURDEN, A. How should we normalize electromyograms obtained from healthy participants? What we have learned from over 25 years of research. Journal of Electromyography and Kinesiology. 20: 1023-1035, 2010. 9. ROELEVELD, K.; STEGEMAN, D. F.; VAN DIEEN, J.H. Methodological aspects of SEMG recordings for force estimation – A tutorial and review. Journal of Electromyography and Kinesiology. 2010, 20: 375-387. |
