The implementation of a mobile Parkinson´s tremor monitoring tool with variation analysis

This paper describes the implementation of a realtime and easy-to-use mobile system based on accelerometer for the monitoring of Parkinson´s tremor. About 70% of Parkinson´s disease patients were starting with tremor symptoms, which usually occur on patients´ fingers or hands. Unfortunately, there is no any real-time mobile monitoring system for Parkinson´s tremor which can be used almost anytime, anywhere. This work mainly focused on the implementation of a mobile application of previous proposed novel accelerometer-based method for the real-time assessment of Parkinson´s tremor. Besides providing the diagnosis of tremor´s severity, this tool also analyzed the variation of the tremor behavior. As the result, people faking the tremor behavior can be detected from the variation of the analysis.