Low Cost Surface Electromyographic Signal Amplifier Based On Arduino Microcontroller
The development of an low cost acquisition system of S-EMG signals which are reliable, comfortable for the user and with high mobility shows to be a relevant proposition in modern biomedical engineering scenario. In the study, the sampling capacity of the Arduino microcontroller Atmel Atmega328 with an A / D converter with 10-bit resolution and its reconstructing capability of a signal of surface electromyography is analyzed. An electronic circuit to capture the signal through two differential channels was designed, signals from Biceps Brachialis of a healthy man of 21 years was acquired to test the system prototype. ARV, MDF, MNF and RMS estimators were used to compare de acquired signals with physiological values. The Arduino was configured with a sampling frequency of 1.5kHz for each channel, and the tests with the circuit designed offered a SNR of 20.57dB.
[1] A. Bonfiglio, D. D. Rossi. Wearable Monitoring Systems, Springer, 2011, 1st Edition, p. 290.
[2] M. Margolis, Arduino Cookbook .O'Reilly Media, 2011, Vol. 1, 2nd Edition, p. 662.
[3] J. R. Cram and G. S. Kasman, Introduction to Surface Electromyography, An Aspen Publication, 1998.
[4] R. Merletti, M. Aventaggiato, A. Botter, A. Holobar, H. Marateb, T.M. Vieira. Advances in Surface EMG: Recent Progress in Detection and Processing Techniques .Critical Reviews in Biomedical Engineering, 2010, 38(4), p.p.305-345.
[5] F. A. Soares, S. E. Salomoni, W. H. Veneziano, J. L. A. de Carvalho, F. A. de Oliveira Nascimento, K. F. Pires, A. F. da Rocha. On the Behavior of Surface Electromyographic Variables during the Menstrual Cycle. Physiological Measurement, Vol 32, 2011, pp. 543–557.
[6] F.A.Soares, ESTUDO DO COMPORTAMENTO DAS VARIÁVEIS ELETROMIOGRÁFICAS AO LONGO DO CICLO MENSTRUAL
M.S. Thesis, Faculty Of Technology, Department of Electrical Engineering, University Of Brasilia, Brasilia, Brazil, 2007.
[7] S. Day. Important Factors in Surface EMG Measurement
Bortec Biomedical Ltd. Available at: http://www.bortec.ca/Images/pdf/ EMG%20measurement%20and%20recording.pdf.
[8] H. J. Hermens, B. Freriks, R. Merletti, D. Stegeman, J. Blok, G. Rau et al. SENIAM 8 European Recommendations for Surface Electromyography: Roessingh Research and Development b.v.;1999.
[9] R. Merletti and P. Parker, Electromyography: Physiology, Engineering, and Non-Invasive Applications. IEEE Press Series on Biomedical Engineering, 2004.
[10] G. D. Luca. Fundamental Concepts in EMG Signal Acquisition
Delsys Inc, 2003. Available at: http://www.delsys.com/ Attachments_pdf/WP_Sampling1-4.pdf.
[11] J. V. Basmajian, C. J. DeLuca. Muscle Alive: Their Functions Revealed by Electromyography, Baltimore: Willians & Wilkings, 1985.
[12] ATMEL Datasheet of ATMEGA 328. Available in: http://www.atmel.com/Images/doc8161.pdf.
[13] J. C. Machado. Sistema de Aquisição, Processamento e Transmissão Sem Fio de Sinais Musculares. Federal University of Rio Grande do Sul, School of Engineering –DELET, Undergraduation Project, Course of Electrical Engineering, 2010.
[14] G. T. Laskoski, S. F. Pichorim. ELETROMIOGRAFIA E GONIOMETRIA TELEMÉTRICA. 21º Congresso Brasileiro de Engenharia Biomédica, 2008, pp.910-913.
[1] A. Bonfiglio, D. D. Rossi. Wearable Monitoring Systems, Springer, 2011, 1st Edition, p. 290.
[2] M. Margolis, Arduino Cookbook .O'Reilly Media, 2011, Vol. 1, 2nd Edition, p. 662.
[3] J. R. Cram and G. S. Kasman, Introduction to Surface Electromyography, An Aspen Publication, 1998.
[4] R. Merletti, M. Aventaggiato, A. Botter, A. Holobar, H. Marateb, T.M. Vieira. Advances in Surface EMG: Recent Progress in Detection and Processing Techniques .Critical Reviews in Biomedical Engineering, 2010, 38(4), p.p.305-345.
[5] F. A. Soares, S. E. Salomoni, W. H. Veneziano, J. L. A. de Carvalho, F. A. de Oliveira Nascimento, K. F. Pires, A. F. da Rocha. On the Behavior of Surface Electromyographic Variables during the Menstrual Cycle. Physiological Measurement, Vol 32, 2011, pp. 543–557.
[6] F.A.Soares, ESTUDO DO COMPORTAMENTO DAS VARIÁVEIS ELETROMIOGRÁFICAS AO LONGO DO CICLO MENSTRUAL
M.S. Thesis, Faculty Of Technology, Department of Electrical Engineering, University Of Brasilia, Brasilia, Brazil, 2007.
[7] S. Day. Important Factors in Surface EMG Measurement
Bortec Biomedical Ltd. Available at: http://www.bortec.ca/Images/pdf/ EMG%20measurement%20and%20recording.pdf.
[8] H. J. Hermens, B. Freriks, R. Merletti, D. Stegeman, J. Blok, G. Rau et al. SENIAM 8 European Recommendations for Surface Electromyography: Roessingh Research and Development b.v.;1999.
[9] R. Merletti and P. Parker, Electromyography: Physiology, Engineering, and Non-Invasive Applications. IEEE Press Series on Biomedical Engineering, 2004.
[10] G. D. Luca. Fundamental Concepts in EMG Signal Acquisition
Delsys Inc, 2003. Available at: http://www.delsys.com/ Attachments_pdf/WP_Sampling1-4.pdf.
[11] J. V. Basmajian, C. J. DeLuca. Muscle Alive: Their Functions Revealed by Electromyography, Baltimore: Willians & Wilkings, 1985.
[12] ATMEL Datasheet of ATMEGA 328. Available in: http://www.atmel.com/Images/doc8161.pdf.
[13] J. C. Machado. Sistema de Aquisição, Processamento e Transmissão Sem Fio de Sinais Musculares. Federal University of Rio Grande do Sul, School of Engineering –DELET, Undergraduation Project, Course of Electrical Engineering, 2010.
[14] G. T. Laskoski, S. F. Pichorim. ELETROMIOGRAFIA E GONIOMETRIA TELEMÉTRICA. 21º Congresso Brasileiro de Engenharia Biomédica, 2008, pp.910-913.
@article{"International Journal of Electrical, Electronic and Communication Sciences:66580", author = "Igor Luiz Bernardes de Moura and Luan Carlos de Sena Monteiro Ozelim and Fabiano Araujo Soares", title = "Low Cost Surface Electromyographic Signal Amplifier Based On Arduino Microcontroller", abstract = "The development of an low cost acquisition system of S-EMG signals which are reliable, comfortable for the user and with high mobility shows to be a relevant proposition in modern biomedical engineering scenario. In the study, the sampling capacity of the Arduino microcontroller Atmel Atmega328 with an A / D converter with 10-bit resolution and its reconstructing capability of a signal of surface electromyography is analyzed. An electronic circuit to capture the signal through two differential channels was designed, signals from Biceps Brachialis of a healthy man of 21 years was acquired to test the system prototype. ARV, MDF, MNF and RMS estimators were used to compare de acquired signals with physiological values. The Arduino was configured with a sampling frequency of 1.5kHz for each channel, and the tests with the circuit designed offered a SNR of 20.57dB.
", keywords = "Eletromyography, Arduino, Low-Cost, Atmel Atmega328 microcontroller. ", volume = "8", number = "2", pages = "314-5", }
