Recognition of pathological states in arterial blood by distance based techniques

• Autorzy: Sokołowska B. , Jóźwik A.
• Języki publikacji: EN

Abstrakty

EN

The paper presents the application of some distance based pattern recognition algorithms for recognition of pathological states in respiratory system on the basis of the arterial blood gasometry (features pH, pCO2, pO2). In our biological model two experimental situations were considered: 1) the intact animals and 2) the main inspiratory muscles paralyzed (after acute of bilateral phrenicotomy). The comparison of the mentioned three features in the two conditions was the main goal of the present study. The analyzed biological data set contained 38 in class 1 (muscle function preserved) and 36 in class 2 (after diaphragm paralyzed) measurements. It was discovered that a significant part of the measurements could be correctly recognized as the ones coming from the first or the second class according to gasometric measurements.

Słowa kluczowe

EN

arterial blood gasometry; paralysis of diaphragm; k-NN rule; classifiers; k-means algorithm

PL

gazometria krwi tętniczej; paraliż przepony; zasada k-NN; klasyfikatory

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2003
• Tom: Vol. 5
• Strony: MI23--30
• Opis fizyczny: Bibliogr. 6 poz., rys., tab.

Twórcy

autor

Sokołowska B.

• Medical Research Center PAS, Department of Neurophysiology, Pawińskiego 5, 02-106 Warsaw

autor

Jóźwik A.

Bibliografia

• [1] SIAFAKAS N.M., MITROUSKA I., BOUROS D., GEORGOPOULOS D., Surgery and the respiratory muscles, Thorax 54, pp.458-465, 1999
• [2] JÓŹWIK A., SOKOŁOWSKA B., BUDZIŃSKA K., An example of computer aided decision-making system for recognition of respiratory pathology, MIT vol. 2/2001: MI41-48
• [3] SOKOŁOWSKA B., JÓŹWIK A., BUDZIŃSKA K., Analiza prężności gazów oddechowych krwi tętniczej z zastosowaniem algorytmu rozpoznawania obrazów, Materiały konf. Techniki Informatyczne w Medycynie, str. BP21-Bp33, Ustroń, 1999 (in Polish)
• [4] FIX E., HODGES J. L., Discriminatory Analysis: Nonparametric Discrimination Small Sample Performance, project 21-49-004, Report Number 11, pp. 280-322,USAF School of Aviation Medicine, Randolph Field, Texas, 1952
• [5] TOU J. T., GONZALES R. C., Pattern recognition principles, Addison-Wesley Publishing Company, London, 1974
• [6] VAPNIK W. N., TCHERVONENKIS A. YA., Teoria rozpoznawania obrazow, Moskwa, 1974 (in Russian)