
 
digitized signal via serial cable. Matlab’s serial port 
I/O feature lets us to communicate with 
microcontroller. The sEMG signals are buffered to 
Matlab during the measurement and then other 
signal processing methods are applied. An example 
of raw unprocessed sample of sEMG signal should 
be seen in Fig. 6. This sample is taken from 
Thoracolumbar Fascia muscle of a volunteer healthy 
male. In the next stages of this study, we aim to 
evaluate sEMG signals collected with our device 
belong to patients with various signal processing 
techniques.
 
 
Figure 6: A sample of raw sEMG signal. 
3 CONCLUSIONS 
In this study, we described a non-invasive, low-cost 
and portable electromyography device for back 
herniated patients. Device includes a single channel 
and 16-bit resolution ADC. It has serial 
communication with PC and has a direct connection 
with Matlab software. In future, we aim to add a 
Bluetooth® module to make our device wireless and 
more portable. 
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DESIGN OF A PORTABLE ELECTROMYOGRAPHY DEVICE FOR BACK HERNIATED PATIENTS
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