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BY-NC-ND 4.0 license Open Access Published by De Gruyter September 7, 2017

Fast care – real-time sensor data analysis framework for intelligent assistance systems

Distributed inference algorithms on multi-sensor platforms for medical assistance

  • Albert Hein EMAIL logo , Florian Grützmacher , Christian Haubelt and Thomas Kirste


Main target of fast care is the development of a real-time capable sensor data analysis framework for intelligent assistive systems in the field of Ambient Assisted Living, eHealth, Tele Rehabilitation, and Tele Care. The aim is to provide a medically valid integrated situation model based on a distributed, ad-hoc connected, energy-efficient sensor infrastructure suitable for daily use. The integrated situation model combining physiological, cognitive, and kinematic information about the patient is grounded on the intelligent fusion of heterogeneous sensor data on different levels. The model can serve as a tool for quickly identifying risk and hazards as well as enable medical assistance systems to autonomously intervene in real-time and actively give telemedical feedback.

Published Online: 2017-09-07

©2017 Albert Hein et al., published by De Gruyter

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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