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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]
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.
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
Optimization and Adaptation on All Levels
13
Systems need mechanisms to manage
changes in a safe and sound way.