• Robert Bela Nagy Doctoral Student at University of Oradea
  • Tiberiu Vesselenyi University of Oradea
  • Florin Popentiu Vladicescu University of Oradea, UNESCO Chairholder
Keywords: Electromyography, Electrooculography, EMG, EOG, eye muscle movements, mouse cursor control


In this article will be presented a novel way to record and filter the Electromyogram (EMG) signal. EMG signals are generated when the muscles activates. In our case the user’s eye muscle movements in any direction will be recorded and filtered, so we will be able to observe when the user looks with his/her eyes up, down, left or right. In this article we use the non-invasive EMG signal recording system (which uses Ag/AgCl electrodes for recording) to differentiate the user’s eye positions. The EMG signals are recorded from near eyes positions, using only 3 differential channels out of 4 differential channels offered by a 24-bit Analog Digital Converter (ADC), model NI-9234 and it’s afferent NI-USB 9162 High Speed USB Carrier, both made by National Instruments (NI). The signal recording and filtering program is made in Matlab R2012b ( experimental research presented in this article is made during the studies to realise the author’s doctoral thesis.


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18. N.I. 9234 ADC Converter product page:
19. N.I. USB-9162 Carrier product page:
How to Cite
Nagy, R., Vesselenyi, T., & Vladicescu, F. (2015). RESEARCH ON RECORDING AND FILTERING ELECTROMYOGRAM (EMG) SIGNALS. Nonconventional Technologies Review, 19(3). Retrieved from