Sökning: "Lund Klinisk fysiologi"
Visar resultat 16 - 20 av 89 avhandlingar innehållade orden Lund Klinisk fysiologi.
16. Attenuation correction in pulmonary and myocardial single photon emission computed tomography
Sammanfattning : The objective was to develop and validate methods for single photon emission computed tomography, SPECT, allowing quantitative physiological and diagnostic studies of lung and heart. A method for correction of variable attenuation in SPECT, based on transmission measurements before administration of an isotope to the subject, was developed and evaluated. LÄS MER
17. Tools for protective lung ventilation. The elastic pressure-volume curve and aspiration of dead space
Sammanfattning : Ventilator-induced lung injury (VILI) may contribute to morbidity and mortality of acute lung injury (ALI). Lung protective ventilation (LPV), that reduces VILI, may involve low tidal volume (Vt). Particularly low Vt is possible if dead space ventilation is reduced e.g. LÄS MER
18. Analysis of Electrocardiograms Using Artificial Neural Networks
Sammanfattning : Most conventional ECG interpretation programs use decision tree logic for interpretation of the ECG. The performance is generally good but can be improved. Artificial neural networks represent a new computer method, which has proved to be of value in pattern recognition and classification tasks. LÄS MER
19. New Methods for Automated Interpretation of Electrocardiograms and Lung Scintigrams
Sammanfattning : The principal purposes of the studies reported in this thesis were to develop new methods to make computerised decision support systems in medicine both more reliable and fully automated. These aims were pursued in the belief that the solution to these problems will lead to an increased clinical use of such systems resulting in benefit to both patient and physician. LÄS MER
20. Artificial neural networks classify myocardial perfusion images
Sammanfattning : In the studies of this thesis, a method for automated classification of myocardial perfusion images was successfully developed and evaluated. The results show that the method, based on artificial neural networks, was equally good, or even better than human experts. LÄS MER