This masters thesis describes the development of signal processing and pattern recognition in monitoring Parkison’s disease. It involves the development of a signal process algorithm and passing it into a pattern recogniton algorithm also. These algorithms are used to determine , predict and make a conclusion on the study of parkison’s disease. We get to understand the nature of how the parkinson’s disease is in humans.