Document Type


Date of Award

Fall 1-31-2014

Degree Name

Master of Science in Biomedical Engineering - (M.S.)


Biomedical Engineering

First Advisor

Mesut Sahin

Second Advisor

Cesar Perez-Alvarez

Third Advisor

Max Roman


In recent studies, various methods to sense neural signals are used and new methods for remote sensing of neural signals are being developed. However, there are still major difficulties in building long-term implantable neural interface systems that can reliably record neural activity and serve as the basis of brain-machine interfaces (BMI). Therefore, this research is conducted to design a remote neural sensing system that is based on modulation of the backscatter signal from a piezoelectric element by the neural signals. The hypothesis is that if the neural signal is detected with a simple amplifier and the output of this amplifier is connected in parallel to a piezoelectric element, the backscattered signal from the piezoelectric element should be modulated by the neural signal amplitudes. To this end, the echo signal from the piezoelectric element is analyzed and the effect of a load resistor is demonstrated. And then, an electronic circuit to implement the modulation function is simulated on the computer and constructed. The experimental results support the main hypothesis of the project.



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