RESEARCH ON RECORDING AND FILTERING ELECTROMYOGRAM (EMG) SIGNALS
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 wit...
| Published in: | Nonconventional Technologies Review |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
Editura Politehnica, Timisoara
2015-09-01
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| Subjects: | |
| Online Access: | http://www.revtn.ro/index.php/revtn/article/view/144 |
| Summary: | 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 (mathworks.com).The experimental research presented in this article is made during the studies to realise the author’s doctoral thesis.
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| ISSN: | 2359-8646 2359-8654 |