Parkinson's disease is the second most common neurodegenerative diseases throughout theworld. In this context, the research project associated with this thesis is to improve the symptomatictreatment of Parkinson's disease through the development process of deep brain stimulationadaptive. The work of this thesis is based on the design of an ASIC for recording andprocessing of neural signals, in response to a variety of issues : ongoing treatment and real-timefocus on specific bands of very low-frequency and highly configurable. The goal is to use theprocessed information to the control and generation of a stimulation signal. This ASIC wasdeveloped, characterized and used electronically in a context in vivo. A closed-loop system wasmade from the ASIC, showing functional. These in vivo validations open up many possibilitiesfor investigation of the concept of closed-loop brain stimulation.
