This thesis presents a neuron emulator and headstage circuit for patch clamp setups and provides simulation, measurement and verification results. The circuit implemented on a printed circuit board (PCB) is battery powered and portable. The emulator provides both passive (resting potential) and active (action potential) electrical properties of a live neuron as seen from a single electrode by using the headstage circuit. It can be used to test electrophysiological equipment such as current-clamp, voltage-clamp or patch-clamp amplifiers. The action potentials (APs) are generated with a voltage-dependent frequency controlled by a microcontroller implementing a firing range from -60 mV to -30 mV and firing frequency from 1 Hz to10 Hz. The charge released by firing the neuron is initially stored on a 110 pC capacitor. Compared to directly using a current or voltage source, this design results in a more realistic simulation of the APs generated by ionic currents in a live neuron. The measured results from a prototype demonstrate that the neuron emulator meets the design specifications and it is capable of performing voltage clamp and rate responsive current clamp functionality. Measured results using a commercial clamp amplifier are provided to confirm the emulator operation in a practical recording environment.

This dissertation is particularly focused on a novel approach of a wirelessly powered neuromodulation system for chronic patients. The inductively coupled transmitter (TX) and receiver (RX) coils are designed through optimization to achieve maximum efficiency. A power management unit (PMU) consisting of a voltage rectifier, voltage regulator along with a stimulation circuitry is also designed to provide pulse stimulation to genetically modified neurons. For continuous health monitoring purposes, the response from the brain due to stimulation needs to be recorded and transmitted wirelessly outside the brain for analysis. A low-power high-data duty-cycled impulse-radio ultra-wideband (IR-UWB) transmitter is designed and implemented using the standard CMOS process. Another focus of this dissertation is the design of a reverse electrowetting-on-dielectric (REWOD) based energy harvesting circuit for wearable sensor applications which is capable of generating a very low-frequency signal from motion activity such a walking, running, jogging, etc. A commercial off-the-shelf (COTS) based and on-chip based energy harvesting circuit is designed for very low-frequency signals. The experimental results show promising progress towards the advancement in the wirelessly powered neuromodulation system and building the self-powered wearable sensor.