Sensing & Control Systems S.L.
AAI Scientific Cultural Services Ltd, Cyprus
Former ARMOR Scientific Coordinator was
Prof. Vasileios Megalooikonoou
who served from 01/11/2011 until 01/11/2013
Computer and Informatics Engineering Department
Technological Educational Institute of Western Greece, Greece
Kings College London, UK
The ARMOR Project, started on 1st of November 2011, is partially funded under the 7th Framework Programme by the European Commission and will be completed in October 2014. The ARMOR project is developed by 8 organizations of 5 European Countries (Greece, Spain, Cyprus, Germany and UK).
The ARMOR project manage and analyse a large number of already acquired and new multimodal and advanced technology data from brain and body activities of epileptic patients and controls (MEG, multichannel EEG, video, ECG, GSR, EMG, etc) aiming to design ARMOR, a more holistic, personalized, medically efficient and economical monitoring system.
New methods and tools are developed for multimodal data pre-processing and fusion of information from various sources. Novel approaches for large scale analysis (both real-time and offline) of multi-parametric streaming and archived data are introduced to discover patterns and associations between external indicators and mental states, detect correlations among parallel observations, and identify vital signs changing significantly. Moreover methods for automatically summarizing results and efficiently managing medical data are developed in the framework of the project. ARMOR incorporates models derived from data analysis based on already existing communication platform solutions emphasising on security and ethical issues and performing required adaptations to meet specifications. Special effort are devoted in areas such as data anonymization and provision of required service.
ARMOR provides flexible monitoring optimized for each patient and is tested in several case studies and evaluated as a wide use ambulatory monitoring tool for seizures efficient diagnosis and management including possibilities for detecting premonitory signs and feedback to the patient.