Keywords multisensor systems, signal processing, data fusion, knowledge-based systems
Start Date: 05-NOV-90 / Duration: Terminated 31-JUL-91
[ contact / participants ]
The objective of ISSS was to describe architectures and develop software algorithms and hardware processing elements to improve data reduction and data fusion in real-time multi-sensor systems with applications in the demanding task of monitoring critically ill patients.
The aim was to develop an analysis, diagnosis, prediction and treatment Patient Monitoring System (PMS) which would continuously adjust and update its different knowledge bases, using supervised and non-real time learning on some of the knowledge bases and unsupervised real-time learning on others.
This advanced IT system was to be capable of supporting the complex, dynamic and distributed decision-making required in monitoring all critical stages of hospital treatment, where demand varies from frequent, complex data sampling from a large number of the same kind of sensor, to heavy sampling of data from very different groups of sensors where the imaging of signals varied significantly.
The project started normally, but after six months the project partner Scaitech and project coordinator IBC-DANICA were obliged to withdraw for business reasons. The project was therefore terminated on 31 July 1991. A final report on the work done is available.
Other partners intend to continue work on Patient Monitoring System through future ESPRIT or other R&D programmes.
Mr J. B. Theeten
3 ave. Descartes
F - 94451 LIMEIL BREVANNES
tel: + 33/ 1-45-699-616
fax: + 33/ 1-45-694-088
IBC-DANICA A/S - DK - C
DALTEK AB - S - P
ARISTOTELES UNIVERSITY OF
THESSALONIKI - GR - P
ACADEMISCH ZIEKENHUIS ROTTERDAM - NL - P
SCAITECH A/S - DK - P
PHILIPS-LEP - F - P
ISSS - 5375, December 1993
please address enquiries to the ESPRIT Information Desk
html version of synopsis by Nick Cook