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

0Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.

Abstract

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.

Cite

CITATION STYLE

APA

Hein, A., Grützmacher, F., Haubelt, C., & Kirste, T. (2017). Fast care – Real-time sensor data analysis framework for intelligent assistance systems. In Current Directions in Biomedical Engineering (Vol. 3, pp. 743–747). Walter de Gruyter GmbH. https://doi.org/10.1515/cdbme-2017-0157

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free