In my thesis, I designed an analog integrated circuit for processing the signals of a hungarian developed, brain-implantable multi electrode array (MEA). The designed circuit consists of a chopper stabilized low-noise amplifier, a high-pass and a low-pass filter. The main goal was to design a circuit that could process the sensor's signal, while maintaining a high signal to noise ratio.
Firstly, I conducted literature research on the topic of neural signals, neural sensors, amplifiers and special circuit solutions for processing neural signals. Then, I outlined the system design and the schematics, that can be used to solve the problem. After that, I sized the individual circuit components, with the help of small-signal models and simulations. Then the circuit was verified by steady-state, time domain, frequency domain, and PVT simulations. For the next step, I made the physical layout of the circuit which was verified by DRC and LVS. Lastly, I compared the pre-layout schematic with the schematic extended with parasitics, with post-layout simulations.