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Sign In. Access provided by: anon Sign Out. Application of pattern recognition and image classification techniques to determine continuous cardiac output from the arterial pressure waveform Abstract: The shape of the arterial pressure waveform is a nonlinear function of stroke volume, heart rate and many other cardiovascular parameters.

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Previous attempts have been made to exploit this relationship and derive cardiac output CO from the arterial pressure waveform. These classical "pulse-contour" methods utilized simplifying linear assumptions, as a result they failed to adequately estimate CO over a sufficiently wide range of hemodynamic conditions. The authors have applied pattern recognition and image professing techniques to the problem of deriving CO from the arterial pressure waveform, thereby eliminating the need for simplifying assumptions.

Pattern Recognition - Concepts, Methods And Applications

Computer simulations were used to develop the basic pattern recognition algorithms and compare their performance with that of published classical "pulse-contour" methods. Animal models were subsequently used to demonstrate proof of the concept.


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For over , individual heart beats, covering a wide range of hemodynamic conditions, the mean error, in calculated CO compared to ultrasonic flow probe determined CO, was 2. Harry Potter. Popular Features.

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New Releases. Pattern Recognition : Concepts, Methods and Applications. Marques de Sa. Description The book provides a comprehensive view of pattern recognition concepts and methods, illustrated with real-life applications in several areas. A CD-ROM offered with the book includes datasets and software tools, making it easier to follow in a hands-on fashion, right from the start.

Concepts, Methods and Applications

Product details Format Paperback pages Dimensions x x Back cover copy The book provides a comprehensive view of Pattern Recognition concepts and methods, illustrated with real-life applications in several areas e. It is appropriate as a textbook of Pattern Recognition courses and also for professionals and researchers who need to apply Pattern Recognition techniques. These are explained in a unified and innovative way, with multiple examples enhancing the clarification of concepts and the application of methods.

A CD offered with the book includes datasets and software tools, making it easier for the reader to follow the taught matters in a hands-on fashion right from the start. Table of contents 1 Basic Notions.

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Review Text From the reviews of the first edition: "The book gives an overview about the wide field of pattern recognition. The book is primarily addressed to undergraduate and graduate students of engineering and computer science courses. It gives a good introduction into the field of clustering and pattern recognition.

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