Thesis Project Form

The objective of this Master Thesis Project is to investigate the dynamics and regulation of cortisol and ACTH, with a focus on their interplay in complex medical conditions such as fibromyalgia syndrome (FMS), chronic fatigue syndrome (CFS), obesity, and cardiac surgery.

Based on the existing results from concurrent deconvolution of cortisol and ACTH data, this study aims to design a new filter to infer hidden brain states from two continuous observations and one marked point process, for FMS, CFS, and obesity data. For cardiac surgery data, where cortisol and ACTH deconvolution were performed separately, existing filters will be applied to infer hidden states using one continuous observation and one marked point process. By applying mathematical modeling to hormonal dynamics and state estimation filters, this research will enhance our understanding of the underlying mechanisms in these health conditions and offer new opportunities for understanding brain and body states.

Computational and analytical techniques are implemented, including state-space modeling and state estimation filters, to analyze the dynamics and regulation of cortisol and ACTH based on the CML collaborator’s data. MATLAB software will be used to implement the state-space model and state estimation filter.