Add to ORKGObjectives: To determine how different mathematical time series approaches can be implemented for the detection of qualitative patterns in physiologic monitoring data, and which of these approaches could be suitable as a basis for future beside time series analysis. (orig.)SIGLEAvailable from TIB Hannover: RR 8460(1999,1) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekDEGerman
Data from the automatic monitoring of intensive care patients exhibits trends, outliers, and level c...
Advances in monitoring technology have resulted in the collection of a vast amount of data that exce...
International audienceThis paper presents an alarm validation system dedicated to patient monitoring...
Objectives: To determine how different mathematical time series approaches can be implemented for th...
Clinical information systems can record numerous variables describing the patient's state at hi...
As high dimensional data occur as a rule rather than an exception in critical care today, it is of u...
SIGLEAvailable from TIB Hannover: RR 8460(2001,15) / FIZ - Fachinformationszzentrum Karlsruhe / TIB ...
Intelligent alarm systems are needed for adequate bedside decision support in critical care. Clinica...
SIGLEAvailable from TIB Hannover: RR 8460(2000,33) / FIZ - Fachinformationszzentrum Karlsruhe / TIB ...
In modern intensive care physiological variables of the critically ill can be reported online by cli...
Sequential analysis of medical time series has important implications when data concern vital functi...
Objectives: Time series analysis techniques facilitate statistical analysis of variables in the cour...
Abstract ⎯ We propose a new regression-based filter for multivariate time series that separates sign...
Statistical analysis of biomedical data Today, the recording of the patient's status in multivariat...
SIGLEAvailable from TIB Hannover: RR 8460(2000,32) / FIZ - Fachinformationszzentrum Karlsruhe / TIB ...
Data from the automatic monitoring of intensive care patients exhibits trends, outliers, and level c...
Advances in monitoring technology have resulted in the collection of a vast amount of data that exce...
International audienceThis paper presents an alarm validation system dedicated to patient monitoring...
Objectives: To determine how different mathematical time series approaches can be implemented for th...
Clinical information systems can record numerous variables describing the patient's state at hi...
As high dimensional data occur as a rule rather than an exception in critical care today, it is of u...
SIGLEAvailable from TIB Hannover: RR 8460(2001,15) / FIZ - Fachinformationszzentrum Karlsruhe / TIB ...
Intelligent alarm systems are needed for adequate bedside decision support in critical care. Clinica...
SIGLEAvailable from TIB Hannover: RR 8460(2000,33) / FIZ - Fachinformationszzentrum Karlsruhe / TIB ...
In modern intensive care physiological variables of the critically ill can be reported online by cli...
Sequential analysis of medical time series has important implications when data concern vital functi...
Objectives: Time series analysis techniques facilitate statistical analysis of variables in the cour...
Abstract ⎯ We propose a new regression-based filter for multivariate time series that separates sign...
Statistical analysis of biomedical data Today, the recording of the patient's status in multivariat...
SIGLEAvailable from TIB Hannover: RR 8460(2000,32) / FIZ - Fachinformationszzentrum Karlsruhe / TIB ...
Data from the automatic monitoring of intensive care patients exhibits trends, outliers, and level c...
Advances in monitoring technology have resulted in the collection of a vast amount of data that exce...
International audienceThis paper presents an alarm validation system dedicated to patient monitoring...