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Part of this project has received funding from the European Union’s Horizon 2020 Framework Programme for Research and Innovation under grant agreement no 674875. Dávid Juhász, Axel Jantsch, Maximilian Götzinger, Nima TaheriNejad: Modeling Self-Awareness Maximilian Götzinger, Nima TaheriNejad, Amir M. Rahmani, Pasi Liljeberg,Axel Jantsch, Hannu Tenhunen: Self-Awareness in Remote Health Monitoring Systems using Wearable Electronics Dávid Juhász [email protected]

Dávid Juhász, Axel Jantsch, Maximilian Götzinger, …ocps-itn.eu/wp-content/uploads/2016/10/ESR14_SelPhyS2017...Part of this project has received funding from the European Union’s

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Part of this project has received funding from the European Union’s Horizon 2020 Framework Programme for Research and Innovation under grant agreement no 674875.

Dávid Juhász, Axel Jantsch,Maximilian Götzinger, Nima TaheriNejad:

Modeling Self-Awareness

Maximilian Götzinger, Nima TaheriNejad,Amir M. Rahmani,

Pasi Liljeberg,Axel Jantsch, Hannu Tenhunen:Self-Awareness in Remote Health Monitoring

Systems using Wearable Electronics

Dávid Juhá[email protected]

Self-Aware Architecture Overview

2

Terminology

3

Cyber-Physical Systems

Cyber/Physical Sensors Cyber/Physical Actuators

Terminology

4

Agentsloosely-coupled independent entities doing data manipulation in the system

Functionalitiesbasic tools for Agents to realize a desired way of data manipulation

Functionalities

• Abstraction

• Disambiguation

• Desirability

• Relevance

• Data Reliability

5

• Confidence

• History

• Attention

• Learning

• Semantic Interpretation and Attribution

Agents

6

• An agent receives messages on its input signals;

• manipulates data according to the incorporated functionalities;

• and may send messages on its output channels.

Hierarchical Structure

7

The hierarchical organization

allows the system to obtain fine-

and coarse-grained knowledge.

Early Warning Score (EWS)

8

Static rules as common practice in hospitals.

EWS for Remote Health Monitoring

• Wearable devices with unreliable sensory data• Broken hardware

• Detached sensors

• Nonhospitalized patients in various situations• Acceptable levels of vital signs depend on situation and activity

(e.g., sleeping, walking, running)

9

Modified EWS (MEWS)

10

A hierarchical agent-based implementation

improves the robustness of EWS calculation.

Evaluation of MEWS

11

MEWS improves reliability by

• validating absolute bounds

• validating rate of change

• cross-validating confidence

Necessary Learning

12

Optimization and Adaptation on All Levels

13

Systems need mechanisms to manage

changes in a safe and sound way.

Types in an Evolving System

14

Dynamically generated abstract types push the

boundaries of classical type definition.