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Your query term was 'number = 94-22'1 report found
- ÖFAI-TR-94-22 (
57kB g-zipped PostScript file)Synergies between Statistical Data Analysis and Neural Networks in the Control of Rotary Blood Pumps
- Georg Dorffner, Christian Stöcklmayer, Christian Schmidt, Heinrich Schima
- In this paper we report about the application of multilayer
perceptrons to three important tasks in the control of rotary blood
pumps, namely the estimation of left atrium pressure, and the
indication of suction, as well as danger of suction, in the left
atrium. Special focus is laid on the value of traditional techniques
for statistical data analysis such as principal component analysis
(PCA) as tools to guide the design of the neural network solution.
Eleven parameters derived from actual measurements during the
performance of the pump were available as input for the three tasks.
With the help of PCA, they could be reduced to three major components
and thus visualized. This visualisation served as guidance for the
proper choice of network, and as a tool for initialization to improve
learning.
Keywords: , Principal Component Analysis, Multilayer Perceptrons, Initialization, Medical Application, Rotary Blood Pumps, Control
- In this paper we report about the application of multilayer
perceptrons to three important tasks in the control of rotary blood
pumps, namely the estimation of left atrium pressure, and the
indication of suction, as well as danger of suction, in the left
atrium. Special focus is laid on the value of traditional techniques
for statistical data analysis such as principal component analysis
(PCA) as tools to guide the design of the neural network solution.
Eleven parameters derived from actual measurements during the
performance of the pump were available as input for the three tasks.
With the help of PCA, they could be reduced to three major components
and thus visualized. This visualisation served as guidance for the
proper choice of network, and as a tool for initialization to improve
learning.