The rapid advancements in technology today have seen more and more attention placed on the automation of many of our daily life's tasks. This is usually achieved through the use of a variety of sensors and actuators. With both hardware and software being pushed beyond the limits of what we ever thought possible, more focus is now being put on the use of these systems, especially in advancing their rapid measurement ability and in interpreting the data they obtain. Electrochemical Impedance Spectroscopy (EIS) has been regarded as one of the most promising technologies in this field owing to its interesting applications across a wide range of industries. EIS has seen a significant leap particularly in its hardware implementation over the last few years, causing the focus of research to expand toward the utilization of this hardware and the modeling and analysis of measured EIS data. This thesis present various EIS measurement, modeling, and analysis techniques that are meant to contribute to integrating the many EIS applications into the market. This is done by proposing an improved phase extraction technique for a previously proposed magnitude-only impedance measurement technique based on a novel non-uniform Kramers-Kronig transform. Additionally, an extension of the double-dispersion models is presented by combining different single dispersion models. These extended models are validated and proven to give more freedom, improving their fitting accuracy. Moreover, a novel generic model that consists of N sections, each having 3 impedances, is proposed. A machine learning-based circuit model identification technique along with a two-stage optimization routine is also put forward. The technique utilizes the same generic impedance model, with the added value of being able to rapidly model EIS data. Finally, multiple wide band signals for fast low-frequency EIS measurements are presented. The first signal is chaotic, while the second is based on the Rudin-Shapiro polynomial. Both signals were tested with discrete RC circuits and in applications with various fruits and vegetables, while the latter was additionally used to monitor the aging of a strawberry.