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Titolo:
An expert system for monitor alarm integration
Autore:
Oberli, C; Urzua, J; Saez, C; Guarini, M; Cipriano, A; Garayar, B; Lema, G; Canessa, R; Sacco, C; Irarrazaval, M;
Indirizzi:
Catholic Univ Chile, Sch Med, Dept Elect Engn, Santiago, Chile Catholic Univ Chile Santiago Chile ed, Dept Elect Engn, Santiago, Chile Catholic Univ Chile, Sch Med, Dept Anesthesiol, Santiago, Chile Catholic Univ Chile Santiago Chile d, Dept Anesthesiol, Santiago, Chile Catholic Univ Chile, Sch Med, Dept Cardiovasc Dis, Santiago, Chile Catholic Univ Chile Santiago Chile Dept Cardiovasc Dis, Santiago, Chile Catholic Univ Chile, Sch Engn, Santiago, Chile Catholic Univ Chile Santiago Chile niv Chile, Sch Engn, Santiago, Chile
Titolo Testata:
JOURNAL OF CLINICAL MONITORING AND COMPUTING
fascicolo: 1, volume: 15, anno: 1999,
pagine: 29 - 35
SICI:
1387-1307(199901)15:1<29:AESFMA>2.0.ZU;2-V
Fonte:
ISI
Lingua:
ENG
Soggetto:
INTENSIVE-CARE UNIT; CARDIAC OPERATED PATIENTS; KNOWLEDGE-BASED APPROACH; INTELLIGENT ALARMS; FUZZY-LOGIC; AUDITORY ALARMS; NEURAL NETWORKS; FALSE ALARMS; ANESTHESIA; FREQUENCY;
Keywords:
monitoring; intelligent monitoring; critical care; alarm integration; fuzzy logic; expert systems; false alarms;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Citazioni:
40
Recensione:
Indirizzi per estratti:
Indirizzo: Urzua, J Catholic Univ Chile, Sch Med, Dept Elect Engn, POB 114-D, Santiago, Chile Catholic Univ Chile POB 114-D Santiago Chile D, Santiago, Chile
Citazione:
C. Oberli et al., "An expert system for monitor alarm integration", J CLIN M C, 15(1), 1999, pp. 29-35

Abstract

Objective. Intensive care and operating room monitors generate data that are not fully utilized. False alarms are so frequent that attending personnel tends to disconnect them. We developed an expert system that could selectand validate alarms by integration of seven vital signs monitored on-line from cardiac surgical patients. Methods. The system uses fuzzy logic and isable to work under incomplete or noisy information conditions. Patient status is inferred every 2 seconds from the analysis and integration of the variables and a uni ed alarm message is displayed on the screen. The proposedstructure was implemented on a personal computer for simultaneous automatic surveillance of up to 9 patients. The system was compared with standard monitors (Space-Labs (TM) PC2), using their default alarm settings. Twenty patients undergoing cardiac surgery were studied, while we ran our system and the standard monitor simultaneously. The number of alarms triggered by each system and their accuracy and relevance were compared. Two expert observers (one physician, one engineer) ascertained each alarm reported by each system as true or false. Results. Seventy-five percent of the alarms reported by the standard monitors were false, while less than 1% of those reportedby the expert system were false. Sensitivity of the standard monitors was 79% and sensitivity of the expert system was 92%. Positive predictive valuewas 31% for the standard monitors and 97% for the expert system. Conclusions. Integration of information from several sources improved the reliability of alarms and markedly decreased the frequency of false alarms. Fuzzy logic may become a powerful tool for integration of physiological data.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 27/09/20 alle ore 20:13:04