Objective
An architecture for medical equipment and a system for patient monitoring at coronary care units has been developed.
Before any clinical application, the KISS framework for a new generation of knowledge based real time medical monitoring systems has to be proven on the currently developed KISS prototype simulating a coronary care environment.
The projected framework allows:
the design of an interactive intelligent monitoring workstation with a high degree of operational autonomy and flexibility;
the development of an intelligent monitoring system generator for customized systems;
the standardization of data communication and storage, both in critical care units, departments and other hospital systems;
specification of hardware and software requirements for real time problems with a high data input flow and time critical decision making.
Use of combined signals is not usually found in commercially available equipment. Added to this combination is the knowledge of some prevalent heart diseases and the anatomy of the heart and its electrical functions. The result should be able to drastically reduce false alarms in the coronary care unit (CCU). The prototype should be able to handle any combination of signals (ECG, phonocardiogram, EEG, blood pressure, respiration) and derived as well as independent (but related) parameters.
Irrespective of their specific medical area, new generations of interactive medical monitoring workstations will integrate "Knowledge Technology" to adequately and autonomously measure, process, and interpret sensor signals to indicate the current patient state. The development of these systems can be greatly improved by means of a general framework that provides means to formalize the functional description of a medical monitoring system in a concise and implementation independent manner. This improvement stems from the fact that such a framework promotes a more structured development approach, the reusability of existing components, and a standard for communication.
To define such a general framework appropriate issues within the area of medical monitoring must be addressed. Within the KISS project the following issues are deemed vital :
- real-time knowledge-based processing integrating different knowledge representation techniques such as deep and shallow knowledge, spatio-temporal relations, uncertainties, and reasoning methods such as progressive and assumption-based reasoning ;
- adaptive behaviour towards changes in the patient state by means of memorizing, updating capabilities together with consistency maintenance ;
- integration of algorithmic methods and knowledge-based methods for sensor signal conditioning and feature extraction ;
- specification of context-sensitive and user-oriented user-interfaces with capabilities to provide a relevant overview of the current situation.
Verification of the ideas, gained by the study of these issues, will be carried out in an experimental system for a representative medical care environment, i.e. a Coronary Care Unit.
Results from this project in the shape of the general framework provide a sound basis for further developments such as automatic system development by means of an Intelligent Monitoring System Generator and standardization activities for data- and knowledge-storage and communication.
Main Deliverables :
Specification of a general framework for knowledge-based medical monitoring systems ; analysis and synthesis of current research in artificial intelligence for complementing and/or substituting conventional signal processing methods with knowledge-based techniques ; methods for advanced signal processing, knowledge representation and reasoning.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencesartificial intelligence
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsignal processing
- medical and health sciencesclinical medicinecritical care medicine
- natural sciencescomputer and information sciencesknowledge engineering
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
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Topic(s)
Data not availableCall for proposal
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Netherlands