The Architecture of the System for Monitoring the Status in Patients with Parkinson’s Disease Using Mobile Technologies

Abstract

The article presents the results of research on the problem of using the capabilities of mobile touch phones on the Android Platform for monitoring the status of patients with Parkinson’s disease. The studies were carried out in two directions: interactive and background monitoring. In the interactive mode, the patients during the day can mark the level of their activity, the presence of dyskinesia, their medications taking and other data that cannot be collected without the participation of the patient himself. In the background monitoring, data are collected from mobile phone sensors. Further, the knowledge that will be extracted from this data using data mining techniques will minimize the interactive part of the monitoring. This will make the monitoring process easy for patients and informative for neurologists. In addition to describing the architecture of the system for monitoring the status of patients with Parkinson’s disease using mobile technologies, the article contains examples of the work with the currently created system modules.