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Detection of artifacts in monitored trends in intensive care
Stephan Jakob
*
, Ilkka Korhonen
, Esko Ruokonen
, Tuomas Virtanen
, Alex Kogan
, Jukka Takala
*
Corresponding author for this work
VTT Technical Research Centre of Finland
Kuopio University Hospital
VTT (former employee or external)
Research output
:
Contribution to journal
›
Article
›
Scientific
›
peer-review
29
Citations (Scopus)
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Keyphrases
Intensive Care
100%
Slope Detection
100%
Artifact Detection
60%
Moving Median
60%
Pressure-temperature
40%
Physiological Variables
40%
Central Venous Pressure
40%
Pulmonary Artery Pressure
40%
Peripheral Temperature
40%
Median Filter
40%
Intensive Care Unit
20%
Physiological Data
20%
High Specificity
20%
Operative
20%
Trend Analysis
20%
Large Database
20%
Physiological Changes
20%
Physiological Signals
20%
Cost Function
20%
Cardiac Surgery
20%
Cardiac Surgery Patients
20%
Pathophysiological Changes
20%
Manual Identification
20%
Interobserver Agreement
20%
Physiological Parameters
20%
Range Sensitivity
20%
Prediction Rate
20%
Healthcare Decisions
20%
Medicine and Dentistry
Intensive Care
100%
Artifact Detection
100%
Central Venous Pressure
66%
Lung Artery Pressure
66%
Heart Surgery
66%
Decision Making
33%
Health Care Cost
33%
Intensive Care Unit
33%
Engineering
Median Filtering
100%
Data Point
100%
Seniors
50%
Physiological Parameter
50%
Limitations
50%
Intensive Care Unit
50%
Cost Function
50%
Nursing and Health Professions
Intensive Care
100%
Lung Artery Pressure
100%
Central Venous Pressure
100%
Heart Surgery
100%
Intensive Care Unit
50%
INIS
detection
100%
data
45%
patients
36%
statistics
27%
arteries
27%
performance
18%
comparative evaluations
18%
surgery
18%
tuning
18%
decision making
9%
cost
9%
sensitivity
9%
range
9%
prediction
9%
units
9%
signals
9%
algorithms
9%
specificity
9%
Agricultural and Biological Sciences
Pulmonary Artery
100%
Central Venous Pressure
100%
Decision Making
50%