Title :
Real-time trend analysis for an intensive care unit patient data management system
Author :
Collet, C. ; Martini, L. ; Lovin, M. ; Masson, E. ; Fumai, N. ; Petroni, M. ; Malowany, A.S. ; Carnevale, F.A. ; Gottesman, R.D. ; Rousseau, A.
Author_Institution :
Res. Center for Intelligent Machines, McGill Univ., Montreal, Que., Canada
Abstract :
A real-time trend analysis module design which is currently being developed for the patient data management system (PDMS) at the pediatric intensive care unit of the Montreal Children´s Hospital is discussed. The PDMS is based on a personal computer acquiring, in real time, patient data from a local area network of 14 bedside monitors, and displaying their trends graphically, among other tasks. The system is based on an IBM model 50 running under the OS/2 multitasking operating system and uses the 8514/A high resolution color video display. This work presents the design and implementation of the module based on two different supervised neural networks using the general delta rule learning mechanisms. The integration of such a module with a diagnosis expert system is also discussed
Keywords :
medical administrative data processing; microcomputer applications; patient care; real-time systems; statistical analysis; 8514/A high resolution color video display; IBM model 50; OS/2 multitasking operating system; PDMS; bedside monitors; diagnosis expert system; general delta rule learning mechanisms; intensive care unit patient data management system; local area network; pediatric intensive care unit; personal computer; real-time trend analysis module; Computer displays; Hospitals; Learning systems; Local area networks; Microcomputers; Multitasking; Neural networks; Operating systems; Pediatrics; Real time systems;
Conference_Titel :
Computer-Based Medical Systems, 1990., Proceedings of Third Annual IEEE Symposium on
Conference_Location :
Chapel Hill, NC
Print_ISBN :
0-8186-9040-2
DOI :
10.1109/CBMSYS.1990.109417
