ARM O R Advanced multi-paRametric Monitoring and analysis for diagnosis and Optimal management of epilepsy and Related brain disorders Prof. Vasileios

AAdvanced multi-paRRametric MMonitoring and analysis for diagnosis and OOptimal management

of epilepsy and RRelated brain disorders

Prof. Vasileios MegalooikonomouProf. Vasileios MegalooikonomouUniversity of Patras, GreeceUniversity of Patras, Greece

Clustering Workshop: eHealth and the Brain – ICT for Neuropsychiatric Health Clustering Workshop: eHealth and the Brain – ICT for Neuropsychiatric Health Brussels, November 5Brussels, November 5thth 2013 2013

http://www.armor-project.euhttp://www.armor-project.eu


Epilepsy

•a common, devastating and still incurable disorder•treatment needs continuous adjustment and change to retain its efficacy •multifactorial causes and paroxysmal nature•needs multi-parametric monitoring for:

accurate diagnosis, prediction, alerting and prevention, treatment follow-up and presurgical evaluation


ARMOR’s Main Objective

Flexible monitoring optimized for each patient

Tested in several case-

studies

Ambulatory monitoring

tool

Possibilities for

detecting premonito-

ry signs

Feedback to the

patient

To 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 (multichannel EEG, ECG, GSR, EMG, respiration, acceleration, and assisting modalities such as MEG) aiming to design a more holistic, personalized, medically efficient and economical monitoring system.

To 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 (multichannel EEG, ECG, GSR, EMG, respiration, acceleration, and assisting modalities such as MEG) aiming to design a more holistic, personalized, medically efficient and economical monitoring system.


Scenarios

Local Site / Home Gateway

Local Site / Home Gateway

Offline Data Processing and Management

Center

Offline Data Processing and Management

Center

User InterfacesUser Interfaces

EHREHR

Application ServerApplication Server

Information ServerInformation Server

DSMSDSMS

Online Analysis

Offline:•Analysis•Fusion•Data Mining

Real Time:•Monitoring•Decision Support•Personalized Analysis

Storage:•Sensor Data•MRI, fMRI•Patient’s Profile•Analysis Results

Adjust Model Parameters

Online Analysis results

ARMOR General View: ICT Components

MobiservSHACU

MobiservSHACU

Events, Alerts

Possible:•Preprocessing•Feature Extraction•Storage

SensorsSensors

AggregatorAggregatorRaw Data

Raw Data/ Preprocessed Data

Local Storage

Possible:Occasionally retrieve raw data

Features/ Reduced Data

Offline AnalysisServer

Local copies of data

Legacy Datasets


ARMOR Middleware Architecture


Multi-parametric Data Processing & Analysis

AnalysisAnalysisCreation of models of different types

of epilepsy

Creation of models of different types

of epilepsyCorrelation AnalysisCorrelation Analysis

Detection of Epileptic Seizures

Detection of Epileptic Seizures

Detection of Events of Interest

Detection of Events of Interest

Offline Data Processing & Analysis

Pre-ProcessingPre-Processing

FilteringFiltering

Outlier DetectionOutlier Detection

Summarization/Feature Extraction

Summarization/Feature Extraction

Data Transformation

Data Transformation

Support on Decision Making

Support on Decision Making

Data FusionData Fusion

Personalized Patient Health Profiles (PHPs)

Personalized Patient Health Profiles (PHPs)

Pattern DiscoveryPattern Discovery


Multi-parametric Data Processing & Analysis

Online Data Processing & Analysis

Online analysis involves results from offline analysis in order to adjust parameters according to each patient’s personal profile.

Online analysis involves results from offline analysis in order to adjust parameters according to each patient’s personal profile.

Online Analysis incorporates all necessary processing techniques adopted to the streaming nature of the data, in order to perform real-time :

•Detection of Seizures•Detection of (patient-specific) abnormal values (e.g., excessive techycardia, oxygen level excursions) from several modalities •Detection of other possible emergency situations

Minimal Data Requirements (e.g. number of sensors) is incorporated with respect to the medical expectations and the desired levels of accuracy

Minimal Data Requirements (e.g. number of sensors) is incorporated with respect to the medical expectations and the desired levels of accuracy

Online Processing involves tasks such as:•Preprocessing•Data Fusion•Decision making

performed with respect to processing time, memory and communication constraints.

Online Processing involves tasks such as:•Preprocessing•Data Fusion•Decision making

performed with respect to processing time, memory and communication constraints.


Objectives and Achievements

Clinical/Medical • Facilitate and increase the yield of diagnostic, treatment and follow-up practice• Support health care professionals in their decision making • Reduce epilepsy related management costs;• Increase understanding of epileptic seizure, epilepsy, and other non-epileptic

paroxysmal events (NEPE) • Advance the technology of Personal Health Systems (PHS) suitable for chronic

diseases of multifactorial causes and unpredictable expression of their symptoms

Clinical/Medical • Facilitate and increase the yield of diagnostic, treatment and follow-up practice• Support health care professionals in their decision making • Reduce epilepsy related management costs;• Increase understanding of epileptic seizure, epilepsy, and other non-epileptic

paroxysmal events (NEPE) • Advance the technology of Personal Health Systems (PHS) suitable for chronic

diseases of multifactorial causes and unpredictable expression of their symptoms

Information and Communication Technologies • Develop novel multi-parametric data processing, management and analysis tools,

both real time and off-line• Design and develop adequate measuring/monitoring methodologies and systems• Adopt and adapt prominent coordination/communication platforms providing

robust and flexible end-to-end communication and assure security and privacy on sensitive medical data

Information and Communication Technologies • Develop novel multi-parametric data processing, management and analysis tools,

both real time and off-line• Design and develop adequate measuring/monitoring methodologies and systems• Adopt and adapt prominent coordination/communication platforms providing

robust and flexible end-to-end communication and assure security and privacy on sensitive medical data


Consortium

Sensing & Control Systems S.LSPAIN

Technological Educational Institute of Western GreeceGREECE

King’s College London UK

INTRACOM S.A. Telecom Solutions GREECE

Karlsruher Institut fuer TechnologieGERMANY

University of PatrasGREECE

AAI Scientific Cultural Services LtdCYPRUS

SYSTEMA Technologies S.A.GREECE

Documents

ARM O R Advanced multi-paRametric Monitoring and analysis for diagnosis and Optimal management of epilepsy and Related brain disorders Prof. Vasileios