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Feasibility Assay for Measure of Sternocleidomastoid and Platysma Electromyography Signal for Brain-Computer Interface Feedback

DOI: 10.4236/ica.2014.54027, PP. 253-261

Keywords: Electromyography, Feature Extraction, Uncertainty, Statistical Analysis, Factors Interactions

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Abstract:

A feasibility assay is conducted for electromyography measure in sternocleidomastoid and platysma, tenting to use it on Brain-Computer Interface (BCI) feedback. It is proposed a case of study for four healthy subjects with an average of 35 years old, two females and two males. Methodology proposed includes signal acquisition and processing with feature extraction of RMS, Mean and Variance. The data are acquired with the AD board NI USB-6009, interfaced with LabView and processed in MatLab. An uncertainty analysis was made obtaining a system uncertainty of ±2.31 mV. ANOVA analysis was done, with a Randomized Complete Block Design (RCBD) experiment and interaction of factors and residues obtained with the software Minitab.

References

[1]  Peter, K. (2005) ABC of EMG: A Practical Introduction to Kinesiological Electromyography. Noraxon INC, USA.
[2]  Xinyi, Y., Rabab, K.W. and Gary, E.B. (2008) Facial EMG Contamination of EEG Signals: Characteristics and Effects of Spatial Filtering. Proceedings of the ISCCSP 2008, Ottawa, 12-14 March 2008, 729-734.
[3]  Teena, G., Shalu, G.K. and Sivanandan, K.S. (2011) Processing and Application of EMG signals for HAL (Hybrid Assistive Limb). Proceedings of the 2nd International Conference on Sustainable Energy and Intelligent System (SEISCON 2011), Chennai, 20-22 July 2011, 749-753.
[4]  Kazuo, K. and Yoshiaki, H. (2011) Motion Estimation Based on EMG and EEG Signals to Control Wearable Robots. Proceedings of the 2013 IEEE International Conference on Systems, Man, and Cybernetics, Japan, 4213-4218.
[5]  Elaine, A.C., Nicholas, A.S. and Eric, J.P. (2013) EMG Control of Robotic Reaching by People with Tetraplegia Improved through Proprioceptive and Force Feedback. Proceedings of the 6th Annual International IEEE EMBS Conference on Neural Engineering, San Diego, 6-8 November 2013, 1178-1181.
[6]  Douglas, C.M. (2013) Randomized Blocks, Latin Squares, and Related Designs. In: Design and Analysis of Experiments, 8th Edition, John Wiley & Sons, Inc., Hoboken, 139-146.
[7]  Calibration of Measuring Devices for Electrical Quantities Calibration of Oscilloscopes. EURAMET (European Association of National Metrology Institutes) cg-7, Version 1.0 (06/2011). Calibration Guide. Bundesallee 100, D-38116 Braunschweig, Germany.
http://www.euramet.org/
[8]  Balbinot, A. and Favieiro, G. (2013) A Neuro-Fuzzy System for Characterization of Arm Movements. Sensors, 13, 2613-2630.
[9]  Tektronix (1998) Measurement Products Catalog 1998/1999, Tektronix.
[10]  (2012) USER GUIDE AND SPECIFICATIONS NI USB-6008/6009: Bus-Powered Multifunction DAQ USB Device, National Instruments.

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