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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